Senior RF Data Scientist / Research Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardware software systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments. Key Responsibilities Analysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal features Building diagnostic RF analysis tools (time frequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna filters mixers ADC) and their impact on baseband data Experience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structures Comfortable debugging SDR setups and performing field-based RF data collection Strong communication skills and ability to work effectively within an iterative R&D team Desirable Hands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators) Experience in passive radar, beamforming, TDoA, Doppler, or direction finding Familiarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.) Programming experience in MATLAB, C++, Rust, or similar languages Knowledge of RF circuit principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware software product development Interested? Please Click Apply Now! Senior RF Data Scientist / Research Engineer Near Cambridge
Apr 16, 2026
Full time
Senior RF Data Scientist / Research Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardware software systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments. Key Responsibilities Analysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal features Building diagnostic RF analysis tools (time frequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna filters mixers ADC) and their impact on baseband data Experience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structures Comfortable debugging SDR setups and performing field-based RF data collection Strong communication skills and ability to work effectively within an iterative R&D team Desirable Hands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators) Experience in passive radar, beamforming, TDoA, Doppler, or direction finding Familiarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.) Programming experience in MATLAB, C++, Rust, or similar languages Knowledge of RF circuit principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware software product development Interested? Please Click Apply Now! Senior RF Data Scientist / Research Engineer Near Cambridge
Senior Scientist, Analytical Development (Chemistry) (Bedford, MA) We are looking to recruit a hands on highly talented Senior Scientist to manage the Analytical Development (AD) Chemistry team, providing onsite support and development for chemistry assays. This onsite Bedford, MA based role is an exciting opportunity to join an experienced organization whose mission is to enable our clients to deliver life changing therapies to patients. Responsibilities Lead and manage the Analytical Development Chemistry team responsible for installation of new equipment, assay development and the daily operation of HPLC, LC/MS, CE SDS, SEC and AUC development operations. Work in close collaboration with the AD Chemistry team to support client projects serving as the analytical methods expert to client teams. Lead and support the transfer, qualification, and validation of GMP analytical methods including but not limited to LC/MS, HPLC, Capillary Electrophoresis, (CE SDS), and AUC assays. Ensure AD Chemistry team members write protocols and generate reports related to QC method transfer, qualification, and validation activities. Provide training and supervision to junior scientists on assay development, instrumentation, and data interpretation. Support and monitor ongoing analytical method performance (e.g., system suitability trending, costing for new client projects) to drive continued improvement and optimization of client's analytical methods. Assist with data trending of assay controls and reference standards, as needed. Lead and support analytical method troubleshooting, as needed. Partner with internal and cross functional departments (e.g., QC and QA) to ensure on time delivery of client projects. Qualifications MS/PhD in Chemistry or related area. Over 10 years of related experience with LC/MS, HPLC, CE SDS and AUC. Proven people manager with the ability to shape teams. Strong expertise in analytical HPLC and LC/MS method development and basic troubleshooting. Independently motivated, detail oriented, and strong problem solving ability. Hands on experience in method development, qualification, validation and/or transfer. Knowledge of quality principles and GMP, ICH and GLP regulations. Experience creating/revising/reviewing operational SOPs, technical documents, protocols, and reports. Ability to work effectively in a fast paced environment. Excellent communication, technical, organizational, and interpersonal skills are essential. Ability to work effectively in a collaborative team environment where results are achieved through influence and the incorporation of multiple points of view.
Apr 16, 2026
Full time
Senior Scientist, Analytical Development (Chemistry) (Bedford, MA) We are looking to recruit a hands on highly talented Senior Scientist to manage the Analytical Development (AD) Chemistry team, providing onsite support and development for chemistry assays. This onsite Bedford, MA based role is an exciting opportunity to join an experienced organization whose mission is to enable our clients to deliver life changing therapies to patients. Responsibilities Lead and manage the Analytical Development Chemistry team responsible for installation of new equipment, assay development and the daily operation of HPLC, LC/MS, CE SDS, SEC and AUC development operations. Work in close collaboration with the AD Chemistry team to support client projects serving as the analytical methods expert to client teams. Lead and support the transfer, qualification, and validation of GMP analytical methods including but not limited to LC/MS, HPLC, Capillary Electrophoresis, (CE SDS), and AUC assays. Ensure AD Chemistry team members write protocols and generate reports related to QC method transfer, qualification, and validation activities. Provide training and supervision to junior scientists on assay development, instrumentation, and data interpretation. Support and monitor ongoing analytical method performance (e.g., system suitability trending, costing for new client projects) to drive continued improvement and optimization of client's analytical methods. Assist with data trending of assay controls and reference standards, as needed. Lead and support analytical method troubleshooting, as needed. Partner with internal and cross functional departments (e.g., QC and QA) to ensure on time delivery of client projects. Qualifications MS/PhD in Chemistry or related area. Over 10 years of related experience with LC/MS, HPLC, CE SDS and AUC. Proven people manager with the ability to shape teams. Strong expertise in analytical HPLC and LC/MS method development and basic troubleshooting. Independently motivated, detail oriented, and strong problem solving ability. Hands on experience in method development, qualification, validation and/or transfer. Knowledge of quality principles and GMP, ICH and GLP regulations. Experience creating/revising/reviewing operational SOPs, technical documents, protocols, and reports. Ability to work effectively in a fast paced environment. Excellent communication, technical, organizational, and interpersonal skills are essential. Ability to work effectively in a collaborative team environment where results are achieved through influence and the incorporation of multiple points of view.
Senior Geoscientist 40,000 - 50,000 Oxford A fantastic opportunity has arisen for a Senior Geoscientist to join a growing offshore geoconsultancy delivering projects across marine infrastructure and renewable energy. This role offers a strong technical focus, with responsibility for reviewing and interpreting offshore geophysical and geotechnical datasets, developing engineering geological desk studies and integrated ground models, undertaking geohazard assessments and cable burial risk assessments, and producing high-quality technical reports. You will also utilise GIS tools for geoprocessing, data management and visualisation. Alongside technical delivery, you will be involved in geodata acquisition, including preparing pre-operational documentation and supporting the collection of UAV-based photogrammetry, LiDAR, magnetometer and USV bathymetric datasets. The role will also include geological mapping, data processing and reporting. In addition, you will contribute to tendering activities, assisting with proposals, costings and client liaison, as well as supporting project delivery through programme management and budget tracking. To be considered, you should have the following: Requirements: Degree in Earth Sciences, Geology or a related discipline (essential) Postgraduate qualification in a relevant field (desirable) Experience within offshore geoscience or a similar sector Strong geological problem-solving skills and attention to detail Experience interpreting offshore geophysical and geotechnical datasets Proficiency in GIS software (e.g. ArcGIS) Strong technical report writing and communication skills Benefits: Competitive salary and benefits package Flexible / hybrid working Clear progression into senior leadership Exposure to high-profile offshore and renewable energy projects Supportive and collaborative working environment Please reach out to Ruby Evans at Penguin Recruitment if you are interested in applying for the position of the Senior Geoscientist.
Apr 16, 2026
Full time
Senior Geoscientist 40,000 - 50,000 Oxford A fantastic opportunity has arisen for a Senior Geoscientist to join a growing offshore geoconsultancy delivering projects across marine infrastructure and renewable energy. This role offers a strong technical focus, with responsibility for reviewing and interpreting offshore geophysical and geotechnical datasets, developing engineering geological desk studies and integrated ground models, undertaking geohazard assessments and cable burial risk assessments, and producing high-quality technical reports. You will also utilise GIS tools for geoprocessing, data management and visualisation. Alongside technical delivery, you will be involved in geodata acquisition, including preparing pre-operational documentation and supporting the collection of UAV-based photogrammetry, LiDAR, magnetometer and USV bathymetric datasets. The role will also include geological mapping, data processing and reporting. In addition, you will contribute to tendering activities, assisting with proposals, costings and client liaison, as well as supporting project delivery through programme management and budget tracking. To be considered, you should have the following: Requirements: Degree in Earth Sciences, Geology or a related discipline (essential) Postgraduate qualification in a relevant field (desirable) Experience within offshore geoscience or a similar sector Strong geological problem-solving skills and attention to detail Experience interpreting offshore geophysical and geotechnical datasets Proficiency in GIS software (e.g. ArcGIS) Strong technical report writing and communication skills Benefits: Competitive salary and benefits package Flexible / hybrid working Clear progression into senior leadership Exposure to high-profile offshore and renewable energy projects Supportive and collaborative working environment Please reach out to Ruby Evans at Penguin Recruitment if you are interested in applying for the position of the Senior Geoscientist.
Research Analyst PSB Insights: Position: Full-time (40 hours per week) Location: London (minimum of three days a week in Central London office) Salary: from £29,000 Applicants must be eligible to work in the UK, or already be working in the UK. About PSB PSB Insights is a global research consultancy. Our mission: to bring decisions out of the dark for our clients. Our approach: disruptive methodologies, smarter working models, and a relentless pursuit of better decision-making. At PSB, research is a means to an end. We are focused on what our clients care about: Data-driven decisions. Breakthrough strategies. Stronger outcomes. We are a passionate team of 70 researchers, data-scientists, strategists, and storytellers who believe in the power of understanding to shape a better future. We hire critical thinkers. If you have a thirst to grow, and to learn from some of the best, read on. About the role PSB is seeking intellectually curious Research Analysts with a passion for uncovering the "why" behind human behaviours. For people who are willing to get creative, and push boundaries. This role offers a unique opportunity to contribute to a wide range of research projects, spanning methodologies and industries. In this role, you will be integral to the project lifecycle, from questionnaire design and data analysis to report creation and presentation. If you are a detail-oriented individual with strong analytical skills and a desire to make a real impact, we encourage you to apply. What you'll do: Contribute to research projects including audience exploration and segmentation, market sizing, brand positioning and tracking, creative development and testing, and communication strategy and messaging Conduct quantitative analyses and demonstrate proficiency in working with data Provide logistical support for fielding quantitative and qualitative research projects Assist in creating client deliverables including reports and presentations, incorporating data analysis, charts, and compelling narratives Ensure data quality through rigorous testing and quality control procedures Provide input on questionnaire and discussion guide design and recommend methodological approaches Support client development and marketing efforts of senior colleagues Who you are: A strong academic performer (university degree or equivalent) Intellectually curious, creative, and detail-oriented Passionate about brands, campaigns and / or politics Keen interest (and preferably some experience) in research and strategy An excellent communicator (verbal and written) Highly organised with strong time management skills; able to multi-task across different projects and meet deadlines effectively Proficient in Microsoft Excel, PowerPoint, and Word; SPSS or other statistical software is a plus but not essential Able to work autonomously AND as part of a high performing team Keen to be part of a high velocity, entrepreneurial culture where you co-create innovative solutions to get the job done Passionate about working as part of a diverse team, and collaborating to make your work stronger Why you'll want to be at PSB: Opportunity to work for a boutique consultancy and thought leaders focused on driving real change for clients Opportunity for travel and international experience as you grow and succeed in the role (the London Team works with clients across Europe, Middle East and Africa) Competitive salary 25 days of annual leave (plus day for your birthday, plus the last Friday of every quarter, plus Bank Holidays) Options for private medical, dental, and travel insurances Pension scheme with healthy company match How to apply: To apply please complete the application form and upload it to no later than Friday 17th April 2026. CVs will not be accepted Please note that for the first review of applications, applicant information including names, educational institutions, and educational dates will be blinded Interviews: Shortlisted candidates will be invited to our central London office to complete a timed exercise and interview in front of a panel. If you require reasonable adjustments for your interview (e.g. adapted equipment, changes to work environment) please let us know in advance
Apr 16, 2026
Full time
Research Analyst PSB Insights: Position: Full-time (40 hours per week) Location: London (minimum of three days a week in Central London office) Salary: from £29,000 Applicants must be eligible to work in the UK, or already be working in the UK. About PSB PSB Insights is a global research consultancy. Our mission: to bring decisions out of the dark for our clients. Our approach: disruptive methodologies, smarter working models, and a relentless pursuit of better decision-making. At PSB, research is a means to an end. We are focused on what our clients care about: Data-driven decisions. Breakthrough strategies. Stronger outcomes. We are a passionate team of 70 researchers, data-scientists, strategists, and storytellers who believe in the power of understanding to shape a better future. We hire critical thinkers. If you have a thirst to grow, and to learn from some of the best, read on. About the role PSB is seeking intellectually curious Research Analysts with a passion for uncovering the "why" behind human behaviours. For people who are willing to get creative, and push boundaries. This role offers a unique opportunity to contribute to a wide range of research projects, spanning methodologies and industries. In this role, you will be integral to the project lifecycle, from questionnaire design and data analysis to report creation and presentation. If you are a detail-oriented individual with strong analytical skills and a desire to make a real impact, we encourage you to apply. What you'll do: Contribute to research projects including audience exploration and segmentation, market sizing, brand positioning and tracking, creative development and testing, and communication strategy and messaging Conduct quantitative analyses and demonstrate proficiency in working with data Provide logistical support for fielding quantitative and qualitative research projects Assist in creating client deliverables including reports and presentations, incorporating data analysis, charts, and compelling narratives Ensure data quality through rigorous testing and quality control procedures Provide input on questionnaire and discussion guide design and recommend methodological approaches Support client development and marketing efforts of senior colleagues Who you are: A strong academic performer (university degree or equivalent) Intellectually curious, creative, and detail-oriented Passionate about brands, campaigns and / or politics Keen interest (and preferably some experience) in research and strategy An excellent communicator (verbal and written) Highly organised with strong time management skills; able to multi-task across different projects and meet deadlines effectively Proficient in Microsoft Excel, PowerPoint, and Word; SPSS or other statistical software is a plus but not essential Able to work autonomously AND as part of a high performing team Keen to be part of a high velocity, entrepreneurial culture where you co-create innovative solutions to get the job done Passionate about working as part of a diverse team, and collaborating to make your work stronger Why you'll want to be at PSB: Opportunity to work for a boutique consultancy and thought leaders focused on driving real change for clients Opportunity for travel and international experience as you grow and succeed in the role (the London Team works with clients across Europe, Middle East and Africa) Competitive salary 25 days of annual leave (plus day for your birthday, plus the last Friday of every quarter, plus Bank Holidays) Options for private medical, dental, and travel insurances Pension scheme with healthy company match How to apply: To apply please complete the application form and upload it to no later than Friday 17th April 2026. CVs will not be accepted Please note that for the first review of applications, applicant information including names, educational institutions, and educational dates will be blinded Interviews: Shortlisted candidates will be invited to our central London office to complete a timed exercise and interview in front of a panel. If you require reasonable adjustments for your interview (e.g. adapted equipment, changes to work environment) please let us know in advance
Overview Principal - Real World Evidence Location - London or Winchester with hybrid working in line with departmental in-office requirements (Tuesday is a regular in-office team day, currently a minimum 40% in office requirement) In 2020 LCP launched our Heath practice, providing analytical and research services for organisations across the life sciences and healthcare industries. Our team brings together clinicians, statisticians, epidemiologists, health economists, bioinformaticians and health data scientists alongside our established actuarial, analytics and technology teams to deliver new solutions for the fundamental challenges in health. Our team's mission is to help move health systems from importers of illness to exporters of health and to support our clients to deliver value to patients. We have already developed a track record for leading approaches to real world evidence generation, health economic modelling and market access strategy. We have been growing the team quickly in response to the demand we are seeing for the innovative service offerings we have developed, and are looking for a Principal in Real World Evidence to join the leadership team of our Health practice. Our real world evidence services span the medicines development lifecycle including clinical phase RWE, payer evidence, drug safety and post launch RWE. Responsibilities What will you be doing? As a Principal in Real World Evidence, you will bring deep subject matter expertise (e.g. in epidemiology, statistics, health data science) alongside excellent people leadership and client engagement skills. This is a senior role and you will be part of the leadership team, helping to develop new service offerings, and providing support to the growing team. Your key areas of responsibilities will be as follows. Delivering excellent client service in RWE by: Leading on the delivery of client projects including being the primary contact for client management and being accountable for efficient project delivery Providing scientific and technical leadership in the conceptualisation and delivery of real world evidence studies Acting as a Subject Matter Expert in RWE on projects and engagements across the breadth of LCP Health Driving the business forward with prospect development by: Leading on developing proposals and progressing client opportunities Generating new opportunities through early engagement with prospects Supporting the extension of the capabilities of the current RWE offering according to your expertise and track record Contributing to the development of LCP Health's sector presence through thought leadership Culture and People Development: As a member of the RWE leadership team, you will actively contribute to the development of the team, including training and coaching Contributing to the management of the RWE team, including taking on specific leadership roles which may include some of resourcing, strategy implementation, QMA, training and development and/or team operations Qualifications What experience, skills and qualities are we looking for? Significant, demonstrable (likely to be more than 10 years) experience in the life sciences or consulting/CRO industries and a track record of leading multiple RWE studies A track record of leading teams in delivering innovative work in a fast-paced environment A relevant Masters, PhD or MD in a relevant subject (e.g. Epidemiology, Biostatistics, Health Data Science) Expertise in real world evidence with a desire to apply quantitative skills and rigorous science to solving real-world problems in health Extensive experience in working with global real world health data sources for health research An excellent track record in successful business development A commitment to providing excellent service to our clients and be experienced in leading consulting engagements Excellent communication skills, confident, have good presentation skills and be able to explain complex issues to others Initiative and creativity An understanding and appreciation that a consultancy environment will sometimes mean going the extra mile to meet client deadlines Excellent organisational skills, with the ability to coordinate your work and the work of a multi-disciplinary team, regularly multi-tasking across client projects and the development and coordination of less experienced team members Benefits What's in it for you? Take a look at our and Career stories pages to see why our people love being here! As well as joining a multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holiday Private medical insurance Discounted gym memberships, critical illness and dental insurance through our flexible benefits Eye care vouchers Cycle to work scheme Digital GP services For your wealth: Competitive pension scheme Discretionary bonus scheme High street discounts Season ticket loans For others: Volunteering opportunities And much more! We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation. LCP is committed to making our opportunities accessible to all and would welcome you getting in touch to let us know if an adjustment can be made to help with your application. This may be extra time for assessments, pre-interview site visits, interview structure or questions, or asking us about building accessibility.
Apr 15, 2026
Full time
Overview Principal - Real World Evidence Location - London or Winchester with hybrid working in line with departmental in-office requirements (Tuesday is a regular in-office team day, currently a minimum 40% in office requirement) In 2020 LCP launched our Heath practice, providing analytical and research services for organisations across the life sciences and healthcare industries. Our team brings together clinicians, statisticians, epidemiologists, health economists, bioinformaticians and health data scientists alongside our established actuarial, analytics and technology teams to deliver new solutions for the fundamental challenges in health. Our team's mission is to help move health systems from importers of illness to exporters of health and to support our clients to deliver value to patients. We have already developed a track record for leading approaches to real world evidence generation, health economic modelling and market access strategy. We have been growing the team quickly in response to the demand we are seeing for the innovative service offerings we have developed, and are looking for a Principal in Real World Evidence to join the leadership team of our Health practice. Our real world evidence services span the medicines development lifecycle including clinical phase RWE, payer evidence, drug safety and post launch RWE. Responsibilities What will you be doing? As a Principal in Real World Evidence, you will bring deep subject matter expertise (e.g. in epidemiology, statistics, health data science) alongside excellent people leadership and client engagement skills. This is a senior role and you will be part of the leadership team, helping to develop new service offerings, and providing support to the growing team. Your key areas of responsibilities will be as follows. Delivering excellent client service in RWE by: Leading on the delivery of client projects including being the primary contact for client management and being accountable for efficient project delivery Providing scientific and technical leadership in the conceptualisation and delivery of real world evidence studies Acting as a Subject Matter Expert in RWE on projects and engagements across the breadth of LCP Health Driving the business forward with prospect development by: Leading on developing proposals and progressing client opportunities Generating new opportunities through early engagement with prospects Supporting the extension of the capabilities of the current RWE offering according to your expertise and track record Contributing to the development of LCP Health's sector presence through thought leadership Culture and People Development: As a member of the RWE leadership team, you will actively contribute to the development of the team, including training and coaching Contributing to the management of the RWE team, including taking on specific leadership roles which may include some of resourcing, strategy implementation, QMA, training and development and/or team operations Qualifications What experience, skills and qualities are we looking for? Significant, demonstrable (likely to be more than 10 years) experience in the life sciences or consulting/CRO industries and a track record of leading multiple RWE studies A track record of leading teams in delivering innovative work in a fast-paced environment A relevant Masters, PhD or MD in a relevant subject (e.g. Epidemiology, Biostatistics, Health Data Science) Expertise in real world evidence with a desire to apply quantitative skills and rigorous science to solving real-world problems in health Extensive experience in working with global real world health data sources for health research An excellent track record in successful business development A commitment to providing excellent service to our clients and be experienced in leading consulting engagements Excellent communication skills, confident, have good presentation skills and be able to explain complex issues to others Initiative and creativity An understanding and appreciation that a consultancy environment will sometimes mean going the extra mile to meet client deadlines Excellent organisational skills, with the ability to coordinate your work and the work of a multi-disciplinary team, regularly multi-tasking across client projects and the development and coordination of less experienced team members Benefits What's in it for you? Take a look at our and Career stories pages to see why our people love being here! As well as joining a multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holiday Private medical insurance Discounted gym memberships, critical illness and dental insurance through our flexible benefits Eye care vouchers Cycle to work scheme Digital GP services For your wealth: Competitive pension scheme Discretionary bonus scheme High street discounts Season ticket loans For others: Volunteering opportunities And much more! We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation. LCP is committed to making our opportunities accessible to all and would welcome you getting in touch to let us know if an adjustment can be made to help with your application. This may be extra time for assessments, pre-interview site visits, interview structure or questions, or asking us about building accessibility.
The Role Owing to our continued growth and trusted reputation, we are seeking a skilled and proactive Technical Project Manager to join our Digital Sensitivity Review team. This position is ideal for someone with a solid understanding of project management with strong technical awareness. You will bridge the gap between business stakeholders and engineering teams, ensuring projects are delivered on time, within budget and to the required quality. You will work closely with government department customers, data scientists and software developers together with the rest of the Project Management team. The ability to talk and engage with stakeholders at all levels, both technical and non-technical is important. Digital Sensitivity Review The Digital Sensitivity Review (DSR) service is an AI innovation led data toolset and service, developed by SVGC Ltd and being run in partnership with FCDO Services, for identifying sensitive information in digital files for redaction and archiving to The National Archive to meet the needs of the Public Records Act. Already delivered to FCDO, HM Treasury and Home Office with Department of Business and Trade and Ministry of Justice in feasibility phase, all major and minor government departments will become DSR-enabled, with other departments in the immediate pipeline. The DSR is a unique and leading-edge technology and has been heralded across government as the only game in town when it comes to the needs of effective digital data sensitivity identification and redaction. Responsibilities Your main responsibilities will include: Project Planning & Delivery Define project scope, objectives, and deliverables Create and manage project plans, timelines, and milestones Allocate resources (developers, engineers, vendors) Track progress and adjust plans as needed Ensure on-time, on-budget delivery Technical Oversight Understand system architecture and technical constraints Work closely with developers, data scientists, and technical assurance Work closely with Service Management for software integration and deployments Identify technical risks early Stakeholder Management Act as the primary contact between technical teams and business stakeholders Communicate progress, risks, and changes clearly Manage client expectations Present updates to senior leadership Risk & Issue Management Identify, assess, and agree handling plans of risks Maintain RAID logs (Risks, Assumptions, Issues, Dependencies) Work closely with Service Management to manage change control processes Escalate blockers appropriately Budget & Commercial Oversight Manage project budgets and forecasts Track costs against estimates Support procurement management Ensure commercial viability The Person Essential Criteria UK Government Security Checked (SC) clearance required. (Note that this role is a Restricted role which means the role holder must hold SC clearance. To be eligible for SC clearance you must have sole British nationality or Dual Nationality - one of which must be British and you must be able to demonstrate six consequtive years residency in the UK). Recognised Project Management qualification to Practitioner level. Strong project management skills, especially in technology delivery and digital transformation. Strong analytical skills for project performance analysis and reporting. Strong, demonstrable, rapid written and verbal communication skills, to provide technical deliverables and reports. Project analysis skills and a wide range of toolset experience, including confidence and familiarity with tools such as MS Project and JIRA. Strong configuration control approach and pro-active approach to documentation. Strong client-centred stakeholder management, with experience in designing and delivering pilots, demonstrations and User engagements. Willingness to take managed risks and assess impact effectively. Comfortable in inviting challenge and where appropriate involving others in decision making. Ability to identify and address team or individual capability requirements and gaps to deliver current and future work. Ability to motivate a wide range of personality types and situations. Experience in following appropriate financial procedures to monitor contracts to ensure deliverables are achieved. Scheduling and Timescale Risk Analysis. Organisational definition and management. Project Management methodologies such as Agile, Scaled Agile and Waterfall and tools such as MS Project. IT service management approaches such as ITIL v4.
Apr 15, 2026
Full time
The Role Owing to our continued growth and trusted reputation, we are seeking a skilled and proactive Technical Project Manager to join our Digital Sensitivity Review team. This position is ideal for someone with a solid understanding of project management with strong technical awareness. You will bridge the gap between business stakeholders and engineering teams, ensuring projects are delivered on time, within budget and to the required quality. You will work closely with government department customers, data scientists and software developers together with the rest of the Project Management team. The ability to talk and engage with stakeholders at all levels, both technical and non-technical is important. Digital Sensitivity Review The Digital Sensitivity Review (DSR) service is an AI innovation led data toolset and service, developed by SVGC Ltd and being run in partnership with FCDO Services, for identifying sensitive information in digital files for redaction and archiving to The National Archive to meet the needs of the Public Records Act. Already delivered to FCDO, HM Treasury and Home Office with Department of Business and Trade and Ministry of Justice in feasibility phase, all major and minor government departments will become DSR-enabled, with other departments in the immediate pipeline. The DSR is a unique and leading-edge technology and has been heralded across government as the only game in town when it comes to the needs of effective digital data sensitivity identification and redaction. Responsibilities Your main responsibilities will include: Project Planning & Delivery Define project scope, objectives, and deliverables Create and manage project plans, timelines, and milestones Allocate resources (developers, engineers, vendors) Track progress and adjust plans as needed Ensure on-time, on-budget delivery Technical Oversight Understand system architecture and technical constraints Work closely with developers, data scientists, and technical assurance Work closely with Service Management for software integration and deployments Identify technical risks early Stakeholder Management Act as the primary contact between technical teams and business stakeholders Communicate progress, risks, and changes clearly Manage client expectations Present updates to senior leadership Risk & Issue Management Identify, assess, and agree handling plans of risks Maintain RAID logs (Risks, Assumptions, Issues, Dependencies) Work closely with Service Management to manage change control processes Escalate blockers appropriately Budget & Commercial Oversight Manage project budgets and forecasts Track costs against estimates Support procurement management Ensure commercial viability The Person Essential Criteria UK Government Security Checked (SC) clearance required. (Note that this role is a Restricted role which means the role holder must hold SC clearance. To be eligible for SC clearance you must have sole British nationality or Dual Nationality - one of which must be British and you must be able to demonstrate six consequtive years residency in the UK). Recognised Project Management qualification to Practitioner level. Strong project management skills, especially in technology delivery and digital transformation. Strong analytical skills for project performance analysis and reporting. Strong, demonstrable, rapid written and verbal communication skills, to provide technical deliverables and reports. Project analysis skills and a wide range of toolset experience, including confidence and familiarity with tools such as MS Project and JIRA. Strong configuration control approach and pro-active approach to documentation. Strong client-centred stakeholder management, with experience in designing and delivering pilots, demonstrations and User engagements. Willingness to take managed risks and assess impact effectively. Comfortable in inviting challenge and where appropriate involving others in decision making. Ability to identify and address team or individual capability requirements and gaps to deliver current and future work. Ability to motivate a wide range of personality types and situations. Experience in following appropriate financial procedures to monitor contracts to ensure deliverables are achieved. Scheduling and Timescale Risk Analysis. Organisational definition and management. Project Management methodologies such as Agile, Scaled Agile and Waterfall and tools such as MS Project. IT service management approaches such as ITIL v4.
US Data protection specialist - within R&D - contract until end of 2026 - outside IR35 - Remote working Exalto consulting are currently recruiting for a contract data security protection expert within US data security. This is 100% remote working, outside IR35 and initially until end of 2026. Key Focus Areas: Implementing new US Data Security Rule across R&D. Supporting R&D users in their understanding of the Rule. Consultation to ensure R&D's approach to the regulation is appropriate. Collaborating to establish guidance, communication material and AI tooling to support users. In this hands-on role, you will collaborate closely with a wide range of stakeholders within R&D, Compliance & Legal, navigating competing priorities, ensuring that key deliverables are met on time and to the highest quality. We are looking for someone who can: Use legal or data protection experience to rapidly understand the regulation approach to compliance. Adapt quickly and work flexibly across multiple activities simultaneously Provide 'hands-on' day-to-day support for scientists and clinical teams in R&D Communicate effectively with stakeholders, following up on required actions to solve challenges Demonstrate initiative in identifying and solving problems; understand which problems can be solved directly and which need senior legal input. Skills and Experience . Pharma and data protection experience Data regulations, privacy, GDPR or similar with scientific and/or clinical acumen At least 4 years proven experience implementing healthcare data regulations Demonstrated ability to interpret and apply complex legal and regulatory frameworks to business operations, with experience translating regulatory requirements into practical implementation strategies If you have the above experience and are looking for a new contract role please send your CV for immediate consideration as our client are looking to hire ASAP US Data protection specialist - within R&D - contract until end of 2026 - outside IR35 - 100% remote working
Apr 15, 2026
Contractor
US Data protection specialist - within R&D - contract until end of 2026 - outside IR35 - Remote working Exalto consulting are currently recruiting for a contract data security protection expert within US data security. This is 100% remote working, outside IR35 and initially until end of 2026. Key Focus Areas: Implementing new US Data Security Rule across R&D. Supporting R&D users in their understanding of the Rule. Consultation to ensure R&D's approach to the regulation is appropriate. Collaborating to establish guidance, communication material and AI tooling to support users. In this hands-on role, you will collaborate closely with a wide range of stakeholders within R&D, Compliance & Legal, navigating competing priorities, ensuring that key deliverables are met on time and to the highest quality. We are looking for someone who can: Use legal or data protection experience to rapidly understand the regulation approach to compliance. Adapt quickly and work flexibly across multiple activities simultaneously Provide 'hands-on' day-to-day support for scientists and clinical teams in R&D Communicate effectively with stakeholders, following up on required actions to solve challenges Demonstrate initiative in identifying and solving problems; understand which problems can be solved directly and which need senior legal input. Skills and Experience . Pharma and data protection experience Data regulations, privacy, GDPR or similar with scientific and/or clinical acumen At least 4 years proven experience implementing healthcare data regulations Demonstrated ability to interpret and apply complex legal and regulatory frameworks to business operations, with experience translating regulatory requirements into practical implementation strategies If you have the above experience and are looking for a new contract role please send your CV for immediate consideration as our client are looking to hire ASAP US Data protection specialist - within R&D - contract until end of 2026 - outside IR35 - 100% remote working
Lead a team of data scientists, providing mentorship and guidance on daily tasks, fostering professional development and capability growth. Oversee the implementation of Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring deliverables meet project milestones and quality standards. Apply advanced machine learning, forecasting, and statistical analysis techniques to drive experimentation and innovation on data science projects. Lead the experimentation and implementation of new data science techniques for projects, ensuring alignment with internal and external customer objectives. Communicate project status, methodologies, and results to both technical teams and business stakeholders, translating complex data insights into actionable strategies. Facilitate data science team discussions, providing technical expertise on current methods and guiding decision-making for optimal outcomes. Contribute to strategic data science initiatives, influencing the direction of key projects and aligning team efforts with broader business goals. Encourage collaboration across teams and functions to ensure seamless integration of data science solutions into business processes and technology platforms. Foster Team Excellence: Lead and manage a multidisciplinary team of data scientists, machine learning engineers, and GenAI developers, ensuring they are empowered to deliver high-quality, scalable solutions. Quality Assurance: Establish and enforce best practices for coding, model development, and deployment processes to ensure all outputs meet organisational standards. Performance Management: Conduct regular 1:1s, performance reviews, and provide constructive feedback to support individual and team growth. Collaboration: Act as a bridge between squads and stakeholders, ensuring alignment and collaboration across teams to maximise impact. Upskilling: Develop and execute training plans to enhance the team's technical capabilities Mentorship: Provide technical mentorship and career guidance to team members, fostering a culture of continuous learning and professional development. Knowledge Sharing: Encourage and facilitate the sharing of knowledge, tools, and techniques within the team and across the organisation. 7+ years' leadership experience leading, managing or influencing multiple functions, geographies and stakeholders (ideally in a Global Digital Program). Experience managing a large, multi-cultural, diverse team. Significant previous experience creating and leading cross functional and multi-country business change programmes. Familiarity with modern data science tools and technologies such as continuous integration, build, deliver, test-driven development and automated acceptance testing. Experience of managing a portfolio of programmes and initiatives within a matrix structure, creating/delivering customer value propositions, and leading technology related programmes Communicating and inspiring confidence at a senior level with technical and non-technical audiences, with the ability to shape strong presentations and narratives that influence and commit people to change. Experience in multi-facility, international organisations with diverse multi-cultural, corporate cultures. Strong team engagement and motivation skills. You'll be adaptable and able to pivot in a dynamic environment, a digital enthusiast, a coach and a communicator. Ability to lead in a matrix and build capabilities in global teams. An advocate and ambassador of the 'test, learn, build or pivot' approach. Excellent understanding of machine learning techniques and algorithms. Knowledge of implementing Data Science, Machine Learning and GenAI solutions at scale. Experience with common statistical techniques and data science toolkits. Strong quantitative and analytical skills and experience with data visualisation tools. Applied statistics skills, such as distributions, statistical testing, regression etc. Experience with AWS, Databricks and Dataiku. Strong understanding of data structures and algorithms plus solution and technical design. Able to quickly pick up new programming languages, technologies, and frameworks Strong knowledge of applied data science. Significant expertise in machine learning algorithms and data science methods. Strong data wrangling experience with structured and unstructured data Experience with various programming and scripting languages, databases, processing and storage frameworks plus coverage with various hyperparameter tuning approaches Understanding and experience with CRISP-DM and Agile data science framework Ability to identify and resolve both people and process related issues
Apr 15, 2026
Full time
Lead a team of data scientists, providing mentorship and guidance on daily tasks, fostering professional development and capability growth. Oversee the implementation of Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring deliverables meet project milestones and quality standards. Apply advanced machine learning, forecasting, and statistical analysis techniques to drive experimentation and innovation on data science projects. Lead the experimentation and implementation of new data science techniques for projects, ensuring alignment with internal and external customer objectives. Communicate project status, methodologies, and results to both technical teams and business stakeholders, translating complex data insights into actionable strategies. Facilitate data science team discussions, providing technical expertise on current methods and guiding decision-making for optimal outcomes. Contribute to strategic data science initiatives, influencing the direction of key projects and aligning team efforts with broader business goals. Encourage collaboration across teams and functions to ensure seamless integration of data science solutions into business processes and technology platforms. Foster Team Excellence: Lead and manage a multidisciplinary team of data scientists, machine learning engineers, and GenAI developers, ensuring they are empowered to deliver high-quality, scalable solutions. Quality Assurance: Establish and enforce best practices for coding, model development, and deployment processes to ensure all outputs meet organisational standards. Performance Management: Conduct regular 1:1s, performance reviews, and provide constructive feedback to support individual and team growth. Collaboration: Act as a bridge between squads and stakeholders, ensuring alignment and collaboration across teams to maximise impact. Upskilling: Develop and execute training plans to enhance the team's technical capabilities Mentorship: Provide technical mentorship and career guidance to team members, fostering a culture of continuous learning and professional development. Knowledge Sharing: Encourage and facilitate the sharing of knowledge, tools, and techniques within the team and across the organisation. 7+ years' leadership experience leading, managing or influencing multiple functions, geographies and stakeholders (ideally in a Global Digital Program). Experience managing a large, multi-cultural, diverse team. Significant previous experience creating and leading cross functional and multi-country business change programmes. Familiarity with modern data science tools and technologies such as continuous integration, build, deliver, test-driven development and automated acceptance testing. Experience of managing a portfolio of programmes and initiatives within a matrix structure, creating/delivering customer value propositions, and leading technology related programmes Communicating and inspiring confidence at a senior level with technical and non-technical audiences, with the ability to shape strong presentations and narratives that influence and commit people to change. Experience in multi-facility, international organisations with diverse multi-cultural, corporate cultures. Strong team engagement and motivation skills. You'll be adaptable and able to pivot in a dynamic environment, a digital enthusiast, a coach and a communicator. Ability to lead in a matrix and build capabilities in global teams. An advocate and ambassador of the 'test, learn, build or pivot' approach. Excellent understanding of machine learning techniques and algorithms. Knowledge of implementing Data Science, Machine Learning and GenAI solutions at scale. Experience with common statistical techniques and data science toolkits. Strong quantitative and analytical skills and experience with data visualisation tools. Applied statistics skills, such as distributions, statistical testing, regression etc. Experience with AWS, Databricks and Dataiku. Strong understanding of data structures and algorithms plus solution and technical design. Able to quickly pick up new programming languages, technologies, and frameworks Strong knowledge of applied data science. Significant expertise in machine learning algorithms and data science methods. Strong data wrangling experience with structured and unstructured data Experience with various programming and scripting languages, databases, processing and storage frameworks plus coverage with various hyperparameter tuning approaches Understanding and experience with CRISP-DM and Agile data science framework Ability to identify and resolve both people and process related issues
Backend Software Engineer - Python Location: London (in-office 4 days per week, non-negotiable) Type: Full-time Reports to: Head of Engineering Salary: £90,000-£105,000 + benefits Are you a Senior Backend Engineer who thrives on designing and scaling complex systems? Do you enjoy working on data-intensive platforms involving Real Time pipelines, streaming architectures, and graph-based services? This is a hands-on role within a small, research-driven engineering team working on high-complexity systems. You will take ownership of key components from architecture through to production, while contributing to the overall technical direction. Key Responsibilities Design, build, and own Back End services and data pipelines in Python Develop and operate streaming systems using Kafka or similar technologies Work with graph-based data structures and algorithms to support analytics and decision-making Build reliable, scalable systems that process Real Time data from distributed edge devices Lead technical decisions across architecture, tooling, and system design Collaborate with data scientists and ML engineers to deploy models into production Mentor engineers and contribute to engineering best practices Improve observability, monitoring, and incident response processes Write maintainable, well-tested code and contribute to code reviews Requirements 5+ years of experience building and operating Back End systems in production Strong proficiency in Python Experience with streaming systems (Kafka, Pulsar, or similar) Familiarity with graph data structures and algorithms Experience working with databases (MongoDB or similar) Solid understanding of distributed systems concepts and trade-offs Proven experience owning systems end-to-end Experience with Git and collaborative development workflows Ability to make independent technical decisions and clearly communicate trade-offs Comfortable working in a small, high-ownership team environment Compensation & Benefits Private health and dental coverage 25 days holiday Enhanced parental leave High-quality hardware Additional perks (workspace benefits, team events, and more)
Apr 15, 2026
Full time
Backend Software Engineer - Python Location: London (in-office 4 days per week, non-negotiable) Type: Full-time Reports to: Head of Engineering Salary: £90,000-£105,000 + benefits Are you a Senior Backend Engineer who thrives on designing and scaling complex systems? Do you enjoy working on data-intensive platforms involving Real Time pipelines, streaming architectures, and graph-based services? This is a hands-on role within a small, research-driven engineering team working on high-complexity systems. You will take ownership of key components from architecture through to production, while contributing to the overall technical direction. Key Responsibilities Design, build, and own Back End services and data pipelines in Python Develop and operate streaming systems using Kafka or similar technologies Work with graph-based data structures and algorithms to support analytics and decision-making Build reliable, scalable systems that process Real Time data from distributed edge devices Lead technical decisions across architecture, tooling, and system design Collaborate with data scientists and ML engineers to deploy models into production Mentor engineers and contribute to engineering best practices Improve observability, monitoring, and incident response processes Write maintainable, well-tested code and contribute to code reviews Requirements 5+ years of experience building and operating Back End systems in production Strong proficiency in Python Experience with streaming systems (Kafka, Pulsar, or similar) Familiarity with graph data structures and algorithms Experience working with databases (MongoDB or similar) Solid understanding of distributed systems concepts and trade-offs Proven experience owning systems end-to-end Experience with Git and collaborative development workflows Ability to make independent technical decisions and clearly communicate trade-offs Comfortable working in a small, high-ownership team environment Compensation & Benefits Private health and dental coverage 25 days holiday Enhanced parental leave High-quality hardware Additional perks (workspace benefits, team events, and more)
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways, the sky is never the limit. The role Senior Product Area Manager - Data Science As Senior Product Area Manager for Data Science, you'll be responsible for the end to end transformation of an operational domain through the introduction of decision support tooling, machine learning and optimisation capabilities. This is a senior, hands on role that sits at the intersection of data science, software delivery and operational change. You will own the full lifecycle of a data science led product area, from discovery and modelling through to delivery, adoption and value capture, working closely with technical teams and senior business stakeholders. What you'll do Own the end to end programme of data science and optimisation product delivery for an operational domain Develop a deep understanding of the domain, its processes and decision points, identifying opportunities for improved outcomes through data driven decision support Define modelling approaches and business logic aligned to the integrated operations vision Create and manage delivery roadmaps covering discovery, build, testing, deployment and adoption Act as the primary interface between technical delivery squads and senior business stakeholders Ensure development teams have the clarity, inputs and prioritisation needed to deliver at pace Lead governance with Heads of Department, Directors and Managing Committee members Drive change management, including communications, training and engagement to ensure adoption and value capture Lead product management including user experience and front end design to ensure tools are fit for purpose Track adoption, performance and value realisation of delivered products Mentor and develop direct reports and wider delivery team members Support agile, learning driven delivery focused on measurable business value Provide technical input and challenge across data science and software engineering decisions What you'll bring to British Airways Strong hands on experience leading data science led product delivery in complex environments Deep understanding of machine learning, optimisation and decision support techniques Fluency in Python and confidence engaging directly with data scientists and engineers on technical detail Ability to bridge technical and business worlds, translating complex concepts for varied audiences Strong product, programme and stakeholder leadership capability Analytical, pragmatic and value focused mindset Confidence influencing at senior leadership and executive level Collaborative approach with a passion for using data to drive better decisions Your experience Background in data science, machine learning or operations research, or equivalent industry experience Several years' experience delivering complex programmes or products at scale Experience working in product led, agile delivery environments Experience running or optimising operational business processes Experience presenting and gaining buy in from senior leadership Experience in transport, airline, network or operational domains is advantageous What we offer We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Apr 15, 2026
Full time
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways, the sky is never the limit. The role Senior Product Area Manager - Data Science As Senior Product Area Manager for Data Science, you'll be responsible for the end to end transformation of an operational domain through the introduction of decision support tooling, machine learning and optimisation capabilities. This is a senior, hands on role that sits at the intersection of data science, software delivery and operational change. You will own the full lifecycle of a data science led product area, from discovery and modelling through to delivery, adoption and value capture, working closely with technical teams and senior business stakeholders. What you'll do Own the end to end programme of data science and optimisation product delivery for an operational domain Develop a deep understanding of the domain, its processes and decision points, identifying opportunities for improved outcomes through data driven decision support Define modelling approaches and business logic aligned to the integrated operations vision Create and manage delivery roadmaps covering discovery, build, testing, deployment and adoption Act as the primary interface between technical delivery squads and senior business stakeholders Ensure development teams have the clarity, inputs and prioritisation needed to deliver at pace Lead governance with Heads of Department, Directors and Managing Committee members Drive change management, including communications, training and engagement to ensure adoption and value capture Lead product management including user experience and front end design to ensure tools are fit for purpose Track adoption, performance and value realisation of delivered products Mentor and develop direct reports and wider delivery team members Support agile, learning driven delivery focused on measurable business value Provide technical input and challenge across data science and software engineering decisions What you'll bring to British Airways Strong hands on experience leading data science led product delivery in complex environments Deep understanding of machine learning, optimisation and decision support techniques Fluency in Python and confidence engaging directly with data scientists and engineers on technical detail Ability to bridge technical and business worlds, translating complex concepts for varied audiences Strong product, programme and stakeholder leadership capability Analytical, pragmatic and value focused mindset Confidence influencing at senior leadership and executive level Collaborative approach with a passion for using data to drive better decisions Your experience Background in data science, machine learning or operations research, or equivalent industry experience Several years' experience delivering complex programmes or products at scale Experience working in product led, agile delivery environments Experience running or optimising operational business processes Experience presenting and gaining buy in from senior leadership Experience in transport, airline, network or operational domains is advantageous What we offer We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Job Title : Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £54,000 - £81,000 Location: Eastleigh and Reigate Closing Date for applications: 18th April Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us .Want to be part of a Winning Team? Come and join Ageas.Click on the 'Apply button' to
Apr 15, 2026
Full time
Job Title : Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £54,000 - £81,000 Location: Eastleigh and Reigate Closing Date for applications: 18th April Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us .Want to be part of a Winning Team? Come and join Ageas.Click on the 'Apply button' to
Job description Site Name: USA - Pennsylvania - Upper Providence, Cambridge 300 Technology Square, UK - Hertfordshire - Stevenage Posted Date: Feb 6 2026 At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Position Summary We are seeking a talented and motivated individual to join our team as a Principal Scientist/Senior Principal Scientist in Applied Genetics within the R&D Translational Sciences team. The R&D Translational Sciences group generates and applies human genetics, genomics, and biomarker insights into key GSK disease areas and product strategies. The successful candidate will have experience in human genetics, statistical genetics, genetic epidemiology, or a related discipline with high computational skills, and will be excited to apply their expertise in human genetics to the development of new medicines. The Principal Scientist/Senior Principal Scientist will be responsible for performing human genetics & statistical genetics analyses in key disease areas, evaluating genetic evidence and causal biology in support of therapeutic target hypotheses, evaluating and implementing new analytical methods, and effectively communicating their results and interpretation to peers and leaders. They will have experience working in multi-disciplinary teams to answer complex scientific questions. This role will provide you the opportunity to lead key activities to progress your career. Key Responsibilities Apply expertise in human genetics, statistical genetics, genetic epidemiology, or a related discipline to support the development of new medicines. Contribute to the ongoing development and iteration of scaled and automated genetic assessment tools to support the advancing science of drug target identification and validation. Develop and/or critically evaluate new methods to derive and apply genetic insights to support the development of therapeutic target hypotheses. Perform and apply at scale and bespoke computational and statistical analyses (e.g., GWAS, WGS, Mendelian Randomization, rare variant association testing, and variant to gene mapping) and implement new analytical methods to infer molecular mechanisms to elucidate and interrogate therapeutic hypotheses. Evaluate genetic and causal biology evidence to support therapeutic target hypotheses and provide clear and concise communication of results and interpretation to peers and leaders. Collaborate effectively in multi disciplinary teams (internal and external) to answer complex scientific questions. Identify and implement creative solutions to address challenging scientific questions. Why You? Basic Qualifications Ph.D in human genetics, statistical genetics, genetic epidemiology, or related disciplines with strong computational and quantitative focus. Experience in development, critical evaluation and application of analyses methods to answer complex scientific questions. Experience in performing analyses and the interpretation of findings of large scale population based genetic studies (e.g., GWAS and WES/WGS approaches, MR and variant to gene mapping). Experience evaluating and integrating genetic and genomic data to evaluate strength of causal genetic evidence (e.g., QTL mapping & integration, causal inference, pathway enrichment). Proficient in programming/scripting in R or Python and working within cloud based computing platforms (e.g., AWS and/or Google Cloud). Experience in working with genetics databases and resources including key biobanks and disease specific consortia data sources. Preferred Qualifications Experience working in multi disciplinary teams to answer scientific questions and influence scientific plans/project decisions. Excellent communication skills to effectively convey complex scientific concepts to peers and leaders. Proactive and innovative mindset with the ability to identify and implement creative solutions and demonstrated strong problem solving skills. Ability to work flexibly and adapt to changing priorities and timelines. Passion for advancing the science of drug target identification and validation. Experience in software development, both independently and as part of a team, developing well documented solutions that other scientists can use, understand and debug. Strong understanding and experience with implementation of FAIR data principles. Work model This role is based in the United States and follows a hybrid working model under GSK's Performance with Choice approach. You will balance on site collaboration with focused remote work. How to apply If this role matches your skills and purpose, we want to hear from you. Please apply with your CV and a short message describing how your experience maps to the role and the impact you want to make. We welcome applicants from all backgrounds and encourage people who value inclusion, teamwork and learning to apply. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $121,275 to $202,125. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information . click apply for full job details
Apr 15, 2026
Full time
Job description Site Name: USA - Pennsylvania - Upper Providence, Cambridge 300 Technology Square, UK - Hertfordshire - Stevenage Posted Date: Feb 6 2026 At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Position Summary We are seeking a talented and motivated individual to join our team as a Principal Scientist/Senior Principal Scientist in Applied Genetics within the R&D Translational Sciences team. The R&D Translational Sciences group generates and applies human genetics, genomics, and biomarker insights into key GSK disease areas and product strategies. The successful candidate will have experience in human genetics, statistical genetics, genetic epidemiology, or a related discipline with high computational skills, and will be excited to apply their expertise in human genetics to the development of new medicines. The Principal Scientist/Senior Principal Scientist will be responsible for performing human genetics & statistical genetics analyses in key disease areas, evaluating genetic evidence and causal biology in support of therapeutic target hypotheses, evaluating and implementing new analytical methods, and effectively communicating their results and interpretation to peers and leaders. They will have experience working in multi-disciplinary teams to answer complex scientific questions. This role will provide you the opportunity to lead key activities to progress your career. Key Responsibilities Apply expertise in human genetics, statistical genetics, genetic epidemiology, or a related discipline to support the development of new medicines. Contribute to the ongoing development and iteration of scaled and automated genetic assessment tools to support the advancing science of drug target identification and validation. Develop and/or critically evaluate new methods to derive and apply genetic insights to support the development of therapeutic target hypotheses. Perform and apply at scale and bespoke computational and statistical analyses (e.g., GWAS, WGS, Mendelian Randomization, rare variant association testing, and variant to gene mapping) and implement new analytical methods to infer molecular mechanisms to elucidate and interrogate therapeutic hypotheses. Evaluate genetic and causal biology evidence to support therapeutic target hypotheses and provide clear and concise communication of results and interpretation to peers and leaders. Collaborate effectively in multi disciplinary teams (internal and external) to answer complex scientific questions. Identify and implement creative solutions to address challenging scientific questions. Why You? Basic Qualifications Ph.D in human genetics, statistical genetics, genetic epidemiology, or related disciplines with strong computational and quantitative focus. Experience in development, critical evaluation and application of analyses methods to answer complex scientific questions. Experience in performing analyses and the interpretation of findings of large scale population based genetic studies (e.g., GWAS and WES/WGS approaches, MR and variant to gene mapping). Experience evaluating and integrating genetic and genomic data to evaluate strength of causal genetic evidence (e.g., QTL mapping & integration, causal inference, pathway enrichment). Proficient in programming/scripting in R or Python and working within cloud based computing platforms (e.g., AWS and/or Google Cloud). Experience in working with genetics databases and resources including key biobanks and disease specific consortia data sources. Preferred Qualifications Experience working in multi disciplinary teams to answer scientific questions and influence scientific plans/project decisions. Excellent communication skills to effectively convey complex scientific concepts to peers and leaders. Proactive and innovative mindset with the ability to identify and implement creative solutions and demonstrated strong problem solving skills. Ability to work flexibly and adapt to changing priorities and timelines. Passion for advancing the science of drug target identification and validation. Experience in software development, both independently and as part of a team, developing well documented solutions that other scientists can use, understand and debug. Strong understanding and experience with implementation of FAIR data principles. Work model This role is based in the United States and follows a hybrid working model under GSK's Performance with Choice approach. You will balance on site collaboration with focused remote work. How to apply If this role matches your skills and purpose, we want to hear from you. Please apply with your CV and a short message describing how your experience maps to the role and the impact you want to make. We welcome applicants from all backgrounds and encourage people who value inclusion, teamwork and learning to apply. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $121,275 to $202,125. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information . click apply for full job details
What is Sylvera anyway? Sylvera helps organisations make confident decisions in carbon and commodity markets. We independently assess the quality of carbon projects, track market pricing and supply signals, and provide geospatial and carbon intensity data - giving our clients the clarity they need to invest in real climate action. We're a team of 130+ scientists, engineers, and market experts based across London, New York, São Paulo, Singapore, and Tokyo. Our work spans market intelligence, geospatial analytics, multi-scale lidar research, and policy analysis. We partner with governments and policymakers to raise the bar for transparency and rigour across carbon markets. Backed by over $96 million from investors including Fidelity, Balderton Capital, Index Ventures, and Insight Partners, we're trusted by Fortune 500 companies, major financial institutions, and governments worldwide. If you care about climate, enjoy solving hard problems, and want to work with people who take the mission seriously - we'd love to hear from you. What will I be doing? We're looking for a mission driven Customer Success Manager to help own and grow our book of business for the EMEA region. We operate in an extremely dynamic environment that requires mental agility and a genuine eagerness to build and manage key commercial relationships. This is an individual contributor position responsible for customer retention and commercial outcomes, with real scope to grow as the business scales. Specific responsibilities will include: Working hand in hand with other members of the commercial team to build trusted, long term ties with key accounts from day 1. Supporting and owning relationships with assigned accounts, playing an integral role in client engagement across the full customer lifecycle, from onboarding through to renewal conversations. Acting as a product ambassador, driving adoption and regular usage of Sylvera's evolving products and services across your account base. Advising customers on our product suite and identifying opportunities to expand our footprint by promoting new products and services. Tracking and delivering value to customers, working towards healthy renewals and strong commercial outcomes. We're looking for someone who: Has 3-7 years of experience in a commercial, advisory, or client facing role - this could be in Customer Success, Account Management, or Consulting/Advisory Has experience working in EMEA markets, with exposure to enterprise or institutional clients Has deep knowledge of or a strong passion for carbon markets - domain expertise is a significant advantage Cares deeply about the climate and ecosystems of the earth Is fully fluent in English; additional European language skills are a plus Is a self starter who enjoys learning and thrives in constantly evolving environments; early stage startup experience is a bonus but not required Is comfortable engaging with senior stakeholders and building credibility quickly Is open to occasional business travel in the region We'd like someone highly ambitious, motivated and eager to propel their career forward. We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Please note that we cannot sponsor a visa. Benefits Equity in a rapidly growing startup Unlimited annual leave - and encouragement to actually use it! 4 weeks/year work from anywhere Enhanced parental leave Up to 20 days paid sick leave Office bar tab once a month Weekly drinks in the office Catered lunch once a month in office Monthly Deliveroo allowance once a month Location London. We work flexibly but encourage people to come to the office regularly, especially for 1 2 1, retros and divisional meetings. Our Values Own it: We make new mistakes. We build on the momentum of our wins and reflect on and learn from our failures. Stay curious: We take a growth mindset to our work, our customers, our market and the opportunities ahead of us. Do what's right - even when it's hard: We keep our focus on the long term, even if that means short term challenges. Collaborate and challenge with empathy: Our teams deliver through active collaboration. We invest in each others' success and make the company stronger in the long run. Empower Customers: Make extraordinary efforts to exceed our customer expectations. If we're serving our customers to the fullest, we can help direct more investment into real climate impact. What if you're a partial fit? We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Equal employment opportunity Sylvera is an equal opportunity employer: we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. AI note takers We sometimes use AI note takers to help us transcribe interview notes, so we can be more present in your interview. If you'd like to opt out of us using automatic transcribers, please note this in the free text field in your application, otherwise we'll take your application as confirmation that you're happy for us to use note takers (whether added to video calls or in the background).
Apr 15, 2026
Full time
What is Sylvera anyway? Sylvera helps organisations make confident decisions in carbon and commodity markets. We independently assess the quality of carbon projects, track market pricing and supply signals, and provide geospatial and carbon intensity data - giving our clients the clarity they need to invest in real climate action. We're a team of 130+ scientists, engineers, and market experts based across London, New York, São Paulo, Singapore, and Tokyo. Our work spans market intelligence, geospatial analytics, multi-scale lidar research, and policy analysis. We partner with governments and policymakers to raise the bar for transparency and rigour across carbon markets. Backed by over $96 million from investors including Fidelity, Balderton Capital, Index Ventures, and Insight Partners, we're trusted by Fortune 500 companies, major financial institutions, and governments worldwide. If you care about climate, enjoy solving hard problems, and want to work with people who take the mission seriously - we'd love to hear from you. What will I be doing? We're looking for a mission driven Customer Success Manager to help own and grow our book of business for the EMEA region. We operate in an extremely dynamic environment that requires mental agility and a genuine eagerness to build and manage key commercial relationships. This is an individual contributor position responsible for customer retention and commercial outcomes, with real scope to grow as the business scales. Specific responsibilities will include: Working hand in hand with other members of the commercial team to build trusted, long term ties with key accounts from day 1. Supporting and owning relationships with assigned accounts, playing an integral role in client engagement across the full customer lifecycle, from onboarding through to renewal conversations. Acting as a product ambassador, driving adoption and regular usage of Sylvera's evolving products and services across your account base. Advising customers on our product suite and identifying opportunities to expand our footprint by promoting new products and services. Tracking and delivering value to customers, working towards healthy renewals and strong commercial outcomes. We're looking for someone who: Has 3-7 years of experience in a commercial, advisory, or client facing role - this could be in Customer Success, Account Management, or Consulting/Advisory Has experience working in EMEA markets, with exposure to enterprise or institutional clients Has deep knowledge of or a strong passion for carbon markets - domain expertise is a significant advantage Cares deeply about the climate and ecosystems of the earth Is fully fluent in English; additional European language skills are a plus Is a self starter who enjoys learning and thrives in constantly evolving environments; early stage startup experience is a bonus but not required Is comfortable engaging with senior stakeholders and building credibility quickly Is open to occasional business travel in the region We'd like someone highly ambitious, motivated and eager to propel their career forward. We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Please note that we cannot sponsor a visa. Benefits Equity in a rapidly growing startup Unlimited annual leave - and encouragement to actually use it! 4 weeks/year work from anywhere Enhanced parental leave Up to 20 days paid sick leave Office bar tab once a month Weekly drinks in the office Catered lunch once a month in office Monthly Deliveroo allowance once a month Location London. We work flexibly but encourage people to come to the office regularly, especially for 1 2 1, retros and divisional meetings. Our Values Own it: We make new mistakes. We build on the momentum of our wins and reflect on and learn from our failures. Stay curious: We take a growth mindset to our work, our customers, our market and the opportunities ahead of us. Do what's right - even when it's hard: We keep our focus on the long term, even if that means short term challenges. Collaborate and challenge with empathy: Our teams deliver through active collaboration. We invest in each others' success and make the company stronger in the long run. Empower Customers: Make extraordinary efforts to exceed our customer expectations. If we're serving our customers to the fullest, we can help direct more investment into real climate impact. What if you're a partial fit? We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Equal employment opportunity Sylvera is an equal opportunity employer: we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. AI note takers We sometimes use AI note takers to help us transcribe interview notes, so we can be more present in your interview. If you'd like to opt out of us using automatic transcribers, please note this in the free text field in your application, otherwise we'll take your application as confirmation that you're happy for us to use note takers (whether added to video calls or in the background).
enior Development Scientist - Gas Metrology & Clean Energy Applications Location: Uttoxeter, Staffordshire Confidential - Specialist Gas Measurement Organisation An established global leader in gas metrology, calibration and analytical science is looking for a Senior Development Scientist to lead cutting edge research into gas quality and purity for the clean energy sector. This company provides expert measurement science, consultancy and calibration services to clients across energy, environmental, and industrial sectors - helping to set global standards in gas analysis and ensuring accuracy in hydrogen, CO , and LNG applications. The Opportunity You'll play a key role in advancing new analytical methods, instrumentation, and calibration standards. From hydrogen fuel cell impurity testing to CO purity measurement for carbon capture, this role will allow you to apply deep technical expertise across a range of innovative R&D programmes. Key Responsibilities Lead research and development projects in gas analysis, passivation, and purity measurement. Develop and validate new analytical instruments, methodologies and software tools. Oversee laboratory operations, ensuring UKAS accreditation and compliance with quality, safety and environmental standards. Provide technical leadership and consultancy, supporting clients in energy transition and emission reduction programmes. Prepare technical papers, grant applications and client presentations to promote the organisation's scientific capability. Contribute to the design and production of Primary Reference Gas mixtures and measurement standards. Background & Skills Degree (and ideally postgraduate qualification) in chemistry, physics, materials science or a similar discipline. Strong understanding of gas analysis, instrumentation, and calibration science. Experience developing or managing R&D projects within analytical or measurement environments. Excellent communication and reporting skills with the ability to engage clients and research partners. Proficiency in data analysis or basic programming would be advantageous. Why This Role? You'll join a respected, independent organisation that partners globally with energy majors, research institutions, and regulatory bodies to advance gas measurement accuracy and environmental integrity. Alongside competitive salary, performance bonus, and pension contributions, you'll benefit from flexible working, genuine career development, and the chance to contribute to next generation measurement standards in hydrogen and carbon capture. If you're passionate about applying scientific rigour to real world energy challenges, this is an outstanding opportunity to lead innovation in a world class technical environment. DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
Apr 15, 2026
Full time
enior Development Scientist - Gas Metrology & Clean Energy Applications Location: Uttoxeter, Staffordshire Confidential - Specialist Gas Measurement Organisation An established global leader in gas metrology, calibration and analytical science is looking for a Senior Development Scientist to lead cutting edge research into gas quality and purity for the clean energy sector. This company provides expert measurement science, consultancy and calibration services to clients across energy, environmental, and industrial sectors - helping to set global standards in gas analysis and ensuring accuracy in hydrogen, CO , and LNG applications. The Opportunity You'll play a key role in advancing new analytical methods, instrumentation, and calibration standards. From hydrogen fuel cell impurity testing to CO purity measurement for carbon capture, this role will allow you to apply deep technical expertise across a range of innovative R&D programmes. Key Responsibilities Lead research and development projects in gas analysis, passivation, and purity measurement. Develop and validate new analytical instruments, methodologies and software tools. Oversee laboratory operations, ensuring UKAS accreditation and compliance with quality, safety and environmental standards. Provide technical leadership and consultancy, supporting clients in energy transition and emission reduction programmes. Prepare technical papers, grant applications and client presentations to promote the organisation's scientific capability. Contribute to the design and production of Primary Reference Gas mixtures and measurement standards. Background & Skills Degree (and ideally postgraduate qualification) in chemistry, physics, materials science or a similar discipline. Strong understanding of gas analysis, instrumentation, and calibration science. Experience developing or managing R&D projects within analytical or measurement environments. Excellent communication and reporting skills with the ability to engage clients and research partners. Proficiency in data analysis or basic programming would be advantageous. Why This Role? You'll join a respected, independent organisation that partners globally with energy majors, research institutions, and regulatory bodies to advance gas measurement accuracy and environmental integrity. Alongside competitive salary, performance bonus, and pension contributions, you'll benefit from flexible working, genuine career development, and the chance to contribute to next generation measurement standards in hydrogen and carbon capture. If you're passionate about applying scientific rigour to real world energy challenges, this is an outstanding opportunity to lead innovation in a world class technical environment. DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
Please note this role is offered as an initial 6 month fixed term contract on a PAYE basis Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category leading destination for every fashion shopper. The Role We're looking for a technically strong Product Manager to lead our Affiliate Operations product team, and be the primary Lyst owner for our partnership with ZOZO's Data Science team in New Zealand. Lyst became part of the ZOZO group last year, and this role will work closely with ZOZO's R&D teams to turn research into productionised product data improvements. You will be accountable for the quality, reliability and discoverability of the world's largest product catalogue, powering discovery and commerce across Lyst. Crucially, you will also support Lyst's commercial initiatives from a TPM perspective - shaping the product and data work to accelerate product merging and enrichment. You'll be the lead Lyst contact for ZOZO's Data Science department and will run regular meetings, define joint milestones and translate data science research into Lyst production work. Together you'll accelerate product merging and enrichment while ensuring tooling is production ready. This role is highly cross functional and strategic. If you enjoy being technical, shipping data products, and managing a data science partnership to deliver measurable business outcomes, this is for you. What you'll own Affiliate Operations strategy & roadmap - Prioritise initiatives that raise data quality, completeness and coherence, and ensure delivery of outcomes that improve discovery and checkout metrics. Data foundations & pipelines - Working with engineering, to define product data models and taxonomies and own product data quality KPIs and remediation workflows. Ensure enrichment and merging flows are implemented and monitored. Partnership with ZOZO Data Science (NZ) - Be the primary Lyst lead managing the relationship with ZOZO's data science team: align roadmaps, define experiments, translate research into production requirements, agree on data contracts/security/IP terms, and run regular syncs and reviews. ZOZO collaboration is a core part of our product enrichment work. Operational ownership - Set and measure SLAs for data freshness, accuracy and output quality. Ensure handoffs and runbooks for the Affiliate Operations team are clear. Commercial & stakeholder management - Liaise with Partnerships and Commercial teams to align product data priorities to business objectives (e.g. ROAS bidding algorithms). People & process - Lead the Affiliate Operations product practice: improve team rituals, prioritisation and delivery cadence. Day to day responsibilities Create and maintain an outcome driven roadmap for Affiliate Operations and our commercial roadmap. Translate ZOZO data science outputs (enrichments/merges/flags) into production requirements, APIs and acceptance criteria. Run regular cross organisation planning with ZOZO and Affiliate Operations, including quarterly planning and technical workshops; manage time zone differences and ensure clear asynchronous handovers. Define and track OKRs tied to listings quality and commercial outcomes. Build the backlog and intake process for operational work, tooling requests and BAU. Communicate progress and trade offs clearly to senior stakeholders. Qualifications 3-6+ years product management experience, with a technical/data focus (hands on TPM or Senior TPM). Strong technical literacy: comfortable with APIs, data schemas, ETL/ingestion pipelines and product data modelling. Experience working with data scientists and engineering teams to productise models and features for production. Proven stakeholder management and delivery track record - you can run complex cross functional projects and manage external technical partners. Excellent written and verbal communication; experience coordinating across time zones and cultures. Agile delivery experience and a bias toward measurable outcomes. Nice to have Experience in ecommerce marketplaces or affiliate commerce. Exposure to machine learning/MLops or productionising ML models. Prior experience working with an external data science partner or international R&D partner. Familiarity with taxonomy design, entity resolution and image/data enrichment workstreams. Experience working with affiliate operations or merchant operations teams. Our Ways of Working Office Days: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Remote Working: Work from anywhere for up to 4 weeks per year. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: All employees are entitled to an annual training allowance of £1,000 for conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, and you will receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.
Apr 15, 2026
Full time
Please note this role is offered as an initial 6 month fixed term contract on a PAYE basis Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category leading destination for every fashion shopper. The Role We're looking for a technically strong Product Manager to lead our Affiliate Operations product team, and be the primary Lyst owner for our partnership with ZOZO's Data Science team in New Zealand. Lyst became part of the ZOZO group last year, and this role will work closely with ZOZO's R&D teams to turn research into productionised product data improvements. You will be accountable for the quality, reliability and discoverability of the world's largest product catalogue, powering discovery and commerce across Lyst. Crucially, you will also support Lyst's commercial initiatives from a TPM perspective - shaping the product and data work to accelerate product merging and enrichment. You'll be the lead Lyst contact for ZOZO's Data Science department and will run regular meetings, define joint milestones and translate data science research into Lyst production work. Together you'll accelerate product merging and enrichment while ensuring tooling is production ready. This role is highly cross functional and strategic. If you enjoy being technical, shipping data products, and managing a data science partnership to deliver measurable business outcomes, this is for you. What you'll own Affiliate Operations strategy & roadmap - Prioritise initiatives that raise data quality, completeness and coherence, and ensure delivery of outcomes that improve discovery and checkout metrics. Data foundations & pipelines - Working with engineering, to define product data models and taxonomies and own product data quality KPIs and remediation workflows. Ensure enrichment and merging flows are implemented and monitored. Partnership with ZOZO Data Science (NZ) - Be the primary Lyst lead managing the relationship with ZOZO's data science team: align roadmaps, define experiments, translate research into production requirements, agree on data contracts/security/IP terms, and run regular syncs and reviews. ZOZO collaboration is a core part of our product enrichment work. Operational ownership - Set and measure SLAs for data freshness, accuracy and output quality. Ensure handoffs and runbooks for the Affiliate Operations team are clear. Commercial & stakeholder management - Liaise with Partnerships and Commercial teams to align product data priorities to business objectives (e.g. ROAS bidding algorithms). People & process - Lead the Affiliate Operations product practice: improve team rituals, prioritisation and delivery cadence. Day to day responsibilities Create and maintain an outcome driven roadmap for Affiliate Operations and our commercial roadmap. Translate ZOZO data science outputs (enrichments/merges/flags) into production requirements, APIs and acceptance criteria. Run regular cross organisation planning with ZOZO and Affiliate Operations, including quarterly planning and technical workshops; manage time zone differences and ensure clear asynchronous handovers. Define and track OKRs tied to listings quality and commercial outcomes. Build the backlog and intake process for operational work, tooling requests and BAU. Communicate progress and trade offs clearly to senior stakeholders. Qualifications 3-6+ years product management experience, with a technical/data focus (hands on TPM or Senior TPM). Strong technical literacy: comfortable with APIs, data schemas, ETL/ingestion pipelines and product data modelling. Experience working with data scientists and engineering teams to productise models and features for production. Proven stakeholder management and delivery track record - you can run complex cross functional projects and manage external technical partners. Excellent written and verbal communication; experience coordinating across time zones and cultures. Agile delivery experience and a bias toward measurable outcomes. Nice to have Experience in ecommerce marketplaces or affiliate commerce. Exposure to machine learning/MLops or productionising ML models. Prior experience working with an external data science partner or international R&D partner. Familiarity with taxonomy design, entity resolution and image/data enrichment workstreams. Experience working with affiliate operations or merchant operations teams. Our Ways of Working Office Days: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Remote Working: Work from anywhere for up to 4 weeks per year. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: All employees are entitled to an annual training allowance of £1,000 for conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, and you will receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.
Lead Data Scientist London, hybrid (2-3 days in office) with some client travel expected3-5 years experience Competitive salary between £100,000 - £110,000 plus bonus This is a standout opportunity to play a key role in building and shaping a growing data science and AI consulting capability. You will work on complex, high impact problems across public and private sector clients, applying data science, machine learning and generative AI to deliver measurable, real world outcomes. You will also contribute to developing people, standards and culture within a rapidly scaling team. The Company They are a specialist consultancy known for solving complex, high value problems and guaranteeing the impact of their work. Operating across consumer, public sector, defence and infrastructure, they focus on outcomes rather than theory, with solutions tied to clear KPIs, ROI and lasting change. Data science and AI are strategic growth areas, with strong senior backing and close collaboration with leading AI technology providers. The Role As a Lead Data Scientist, you will combine hands on technical delivery with consulting influence and team development. You will work closely with client partners and stakeholders to shape, deliver and embed data driven solutions that make a tangible difference. Key responsibilities include: Designing and delivering data science, machine learning and generative AI solutions to solve real business and operational problems. Leading technical workstreams within larger client programmes, from problem definition through to deployment. Applying advanced analytics and modelling techniques in practical, production ready ways. Working on site with clients to embed solutions, drive adoption and ensure long term impact. Translating complex analytical concepts into clear, actionable insights for non technical audiences. Supporting client partners with technical input during solution design and proposal development. Coaching and mentoring junior consultants, contributing to capability building across the team. Helping define and promote best practice in data science and AI delivery. Your Skills & Experience Strong commercial experience delivering data science or machine learning solutions end to end. A consulting mindset, with the ability to influence stakeholders and operate confidently in client environments. Experience turning ambiguous problems into structured, high impact analytical solutions. Exposure to areas such as machine learning, simulation or generative AI in real world settings. A track record of delivering measurable outcomes such as efficiency gains, cost reduction or revenue impact. Intellectual curiosity and a commitment to continuous learning. A collaborative, low ego approach with the confidence to lead and support others. Eligibility for security clearance is beneficial for some projects, but not essential for all roles. What They Offer A Lead level role with clear responsibility, visibility and room to grow. Competitive salary with a performance related bonus. Strong coaching, development and progression within a growing data science and AI practice. Exposure to varied, meaningful work across multiple sectors. A central London office alongside flexible working and regular client engagement. The opportunity to help shape the future of a data science capability built around real impact. How to Apply Apply below of this sounds like the perfect opportunity for you, or email me at
Apr 15, 2026
Full time
Lead Data Scientist London, hybrid (2-3 days in office) with some client travel expected3-5 years experience Competitive salary between £100,000 - £110,000 plus bonus This is a standout opportunity to play a key role in building and shaping a growing data science and AI consulting capability. You will work on complex, high impact problems across public and private sector clients, applying data science, machine learning and generative AI to deliver measurable, real world outcomes. You will also contribute to developing people, standards and culture within a rapidly scaling team. The Company They are a specialist consultancy known for solving complex, high value problems and guaranteeing the impact of their work. Operating across consumer, public sector, defence and infrastructure, they focus on outcomes rather than theory, with solutions tied to clear KPIs, ROI and lasting change. Data science and AI are strategic growth areas, with strong senior backing and close collaboration with leading AI technology providers. The Role As a Lead Data Scientist, you will combine hands on technical delivery with consulting influence and team development. You will work closely with client partners and stakeholders to shape, deliver and embed data driven solutions that make a tangible difference. Key responsibilities include: Designing and delivering data science, machine learning and generative AI solutions to solve real business and operational problems. Leading technical workstreams within larger client programmes, from problem definition through to deployment. Applying advanced analytics and modelling techniques in practical, production ready ways. Working on site with clients to embed solutions, drive adoption and ensure long term impact. Translating complex analytical concepts into clear, actionable insights for non technical audiences. Supporting client partners with technical input during solution design and proposal development. Coaching and mentoring junior consultants, contributing to capability building across the team. Helping define and promote best practice in data science and AI delivery. Your Skills & Experience Strong commercial experience delivering data science or machine learning solutions end to end. A consulting mindset, with the ability to influence stakeholders and operate confidently in client environments. Experience turning ambiguous problems into structured, high impact analytical solutions. Exposure to areas such as machine learning, simulation or generative AI in real world settings. A track record of delivering measurable outcomes such as efficiency gains, cost reduction or revenue impact. Intellectual curiosity and a commitment to continuous learning. A collaborative, low ego approach with the confidence to lead and support others. Eligibility for security clearance is beneficial for some projects, but not essential for all roles. What They Offer A Lead level role with clear responsibility, visibility and room to grow. Competitive salary with a performance related bonus. Strong coaching, development and progression within a growing data science and AI practice. Exposure to varied, meaningful work across multiple sectors. A central London office alongside flexible working and regular client engagement. The opportunity to help shape the future of a data science capability built around real impact. How to Apply Apply below of this sounds like the perfect opportunity for you, or email me at
Senior Data Scientist Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco's growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
Apr 15, 2026
Full time
Senior Data Scientist Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco's growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
Senior Data Scientist When registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can be reviewed. Senior Data Scientist As a Senior Data Scientist, you will own the development and implementation of Marketing Mix Modelling (MMM) across ATG markets. You will lead on applying these insights to inform decision making and deliver measurable commercial value. You will play a key role in shaping the activation of data-led marketing in the UK. This role will support the UK CRM team in scaling personalisation and automation, influencing how these strategies are tested and adopted, and collaborating closely with the global marketing science team to create a globally consistent approach that can be effectively applied in the UK. This is a hybrid role based in London (Shaftesbury Avenue), with an expectation of 2 days per week in the office. You'll report to the Analytics Manager within our Marketing Analytics & Data Science team and be responsible for managing and developing a Data Scientist. You'll work closely with CRM, Memberships, Ticketing and Regional Marketing. Key responsibilities Own MMM in the UK and US. Manage key stakeholders, gather requirements for future iterations, plan & agree timelines for updates and iterative improvements. Manage the relationship between Data Science and CRM, providing direction on the way data is used in campaign execution to have maximum benefit. Collect and integrate data from a diverse range of sources, ensuring quality and accuracy prior to use in model creation. Develop data science solutions to business and customer problems, using robust experimentation and A/B testing to measure incremental impact and demonstrate value against key financial KPIs Work with data analysts to set out measurement plans to quantify the impact of data science solutions. Effectively communicate with technical and non-technical audiences using dashboards, data visualisations and storytelling to aid understanding and ensure models are understood, trusted, and effectively integrated into decision making processes. Line manage and develop a Data Scientist, providing support and guidance to ensure their continued development. Set an example for other data professionals in embracing collaboration, sharing knowledge, and fostering a culture of curiosity and continuous development. Your skills, qualities, and experience We welcome transferable skills from other industries. If you can demonstrate many of the essential skills, qualities and experience we encourage you to apply. Essential A proven track record in a data science role within a customer, CRM, commercial or marketing role. Expertise in machine learning and version control management, with a track record of creating impactful data science products and embedding these within businesses. Strong SQL & Python. Knowledge of cloud platforms and ML Ops for automation of retraining and prediction. Experience in implementing experimentation frameworks (hypothesis generation, experimental design, implementation, statistical analysis, A/B testing best practices, causal inference). Exemplary stakeholder management. Confident & effective communication with technical and non-technical stakeholders across all levels of the company hierarchy. Project organisation and planning (application of the Data Science project lifecycle). Commercial mindset to link models back to business goals. An innate curiosity for technology and data. Desirable Experience in applying Bayesian modelling techniques. Familiarity with our existing tech stack (Snowflake, GitHub, Iterable, dbt). Data visualisation using BI tools (preferably Power BI). About Us - Our Values ATG Entertainment's values set the tone for how we work, how we treat one another, and the culture we continue to build across the UK and the wider organisation. THRIVE doing what we love (with passion and dynamism) CONNECT through every act (with collaboration and kindness) DARE to do different (with curiosity and courage) PERFORM at our best (with customer focus and ownership) Our Corporate Social Responsibility pillars Everyone at ATG Entertainment is expected to play their part in achieving our goals and upholding our Corporate Social Responsibility priorities: Inclusion: Committing to creating and upholding a positive, inclusive culture that nurtures potential and supports well-being. Sustainability: Playing your part in reducing our environmental impact and finding more sustainable ways of working. Next Generations: Encouraging the next generation in live entertainment by contributing to our outreach and training programmes, including mentoring students and trainees, and supporting our Creative Learning and Community Partnerships work. Our culture You'll help us uphold a positive culture around meeting our obligations, by having a positive attitude to health and safety, legal and insurance requirements and take care to understand our policies and procedures. We are all expected to participate actively in the life of the company, and opportunities will arise for you to collaborate with others across the business. Everyone at ATG Entertainment is expected to be flexible and adapt as the needs of the business change, taking on new or different responsibilities as the need arises. Our Inclusion, Diversity, Equity and Access Mission Statement - A Stage for Everyone Our stages are a platform for compelling stories - stories that are for all, by all, and of all. We shine our spotlight on our differences and believe that understanding and celebrating these differences makes us better global citizens. We are passionate about the pursuit of true diversity and equality. We strive to make our venues beacons of these ideals in our communities. Onstage and off, we hold ourselves accountable for nurturing an inclusive culture, one in which everyone can bring their authentic selves. At ATG entertainment, we provide a stage for everyone. We recognise that we do not have all the answers; but we strive to listen, to learn and to change in order to ensure ATG Entertainment becomes a truly inclusive organisation. We therefore welcome and encourage applications from individuals from the widest possible range of backgrounds and particularly welcome applications from those currently underrepresented in our workforce. We are a Disability Confident Committed Employer, which means that we are taking action to ensure that people with disabilities and long-term health conditions feel supported, engaged, and able to fulfil their potential in the workplace. We will offer an interview or recruitment event to disabled candidates who tell us they wish to participate in the scheme and who demonstrate in their application that they best meet the essential criteria for the role. Where we receive more applications than we are reasonably able to interview for any given role, we will retain applications for the next available interview opportunity wherever possible.
Apr 15, 2026
Full time
Senior Data Scientist When registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can be reviewed. Senior Data Scientist As a Senior Data Scientist, you will own the development and implementation of Marketing Mix Modelling (MMM) across ATG markets. You will lead on applying these insights to inform decision making and deliver measurable commercial value. You will play a key role in shaping the activation of data-led marketing in the UK. This role will support the UK CRM team in scaling personalisation and automation, influencing how these strategies are tested and adopted, and collaborating closely with the global marketing science team to create a globally consistent approach that can be effectively applied in the UK. This is a hybrid role based in London (Shaftesbury Avenue), with an expectation of 2 days per week in the office. You'll report to the Analytics Manager within our Marketing Analytics & Data Science team and be responsible for managing and developing a Data Scientist. You'll work closely with CRM, Memberships, Ticketing and Regional Marketing. Key responsibilities Own MMM in the UK and US. Manage key stakeholders, gather requirements for future iterations, plan & agree timelines for updates and iterative improvements. Manage the relationship between Data Science and CRM, providing direction on the way data is used in campaign execution to have maximum benefit. Collect and integrate data from a diverse range of sources, ensuring quality and accuracy prior to use in model creation. Develop data science solutions to business and customer problems, using robust experimentation and A/B testing to measure incremental impact and demonstrate value against key financial KPIs Work with data analysts to set out measurement plans to quantify the impact of data science solutions. Effectively communicate with technical and non-technical audiences using dashboards, data visualisations and storytelling to aid understanding and ensure models are understood, trusted, and effectively integrated into decision making processes. Line manage and develop a Data Scientist, providing support and guidance to ensure their continued development. Set an example for other data professionals in embracing collaboration, sharing knowledge, and fostering a culture of curiosity and continuous development. Your skills, qualities, and experience We welcome transferable skills from other industries. If you can demonstrate many of the essential skills, qualities and experience we encourage you to apply. Essential A proven track record in a data science role within a customer, CRM, commercial or marketing role. Expertise in machine learning and version control management, with a track record of creating impactful data science products and embedding these within businesses. Strong SQL & Python. Knowledge of cloud platforms and ML Ops for automation of retraining and prediction. Experience in implementing experimentation frameworks (hypothesis generation, experimental design, implementation, statistical analysis, A/B testing best practices, causal inference). Exemplary stakeholder management. Confident & effective communication with technical and non-technical stakeholders across all levels of the company hierarchy. Project organisation and planning (application of the Data Science project lifecycle). Commercial mindset to link models back to business goals. An innate curiosity for technology and data. Desirable Experience in applying Bayesian modelling techniques. Familiarity with our existing tech stack (Snowflake, GitHub, Iterable, dbt). Data visualisation using BI tools (preferably Power BI). About Us - Our Values ATG Entertainment's values set the tone for how we work, how we treat one another, and the culture we continue to build across the UK and the wider organisation. THRIVE doing what we love (with passion and dynamism) CONNECT through every act (with collaboration and kindness) DARE to do different (with curiosity and courage) PERFORM at our best (with customer focus and ownership) Our Corporate Social Responsibility pillars Everyone at ATG Entertainment is expected to play their part in achieving our goals and upholding our Corporate Social Responsibility priorities: Inclusion: Committing to creating and upholding a positive, inclusive culture that nurtures potential and supports well-being. Sustainability: Playing your part in reducing our environmental impact and finding more sustainable ways of working. Next Generations: Encouraging the next generation in live entertainment by contributing to our outreach and training programmes, including mentoring students and trainees, and supporting our Creative Learning and Community Partnerships work. Our culture You'll help us uphold a positive culture around meeting our obligations, by having a positive attitude to health and safety, legal and insurance requirements and take care to understand our policies and procedures. We are all expected to participate actively in the life of the company, and opportunities will arise for you to collaborate with others across the business. Everyone at ATG Entertainment is expected to be flexible and adapt as the needs of the business change, taking on new or different responsibilities as the need arises. Our Inclusion, Diversity, Equity and Access Mission Statement - A Stage for Everyone Our stages are a platform for compelling stories - stories that are for all, by all, and of all. We shine our spotlight on our differences and believe that understanding and celebrating these differences makes us better global citizens. We are passionate about the pursuit of true diversity and equality. We strive to make our venues beacons of these ideals in our communities. Onstage and off, we hold ourselves accountable for nurturing an inclusive culture, one in which everyone can bring their authentic selves. At ATG entertainment, we provide a stage for everyone. We recognise that we do not have all the answers; but we strive to listen, to learn and to change in order to ensure ATG Entertainment becomes a truly inclusive organisation. We therefore welcome and encourage applications from individuals from the widest possible range of backgrounds and particularly welcome applications from those currently underrepresented in our workforce. We are a Disability Confident Committed Employer, which means that we are taking action to ensure that people with disabilities and long-term health conditions feel supported, engaged, and able to fulfil their potential in the workplace. We will offer an interview or recruitment event to disabled candidates who tell us they wish to participate in the scheme and who demonstrate in their application that they best meet the essential criteria for the role. Where we receive more applications than we are reasonably able to interview for any given role, we will retain applications for the next available interview opportunity wherever possible.
Senior Data Engineer London (Hybrid Working) Full-time Permanent 80,000 - 90,000 (depending on experience) About the Company: Viqu Energy is working with a fast-growing tech company building solutions at the forefront of the energy transition. As the grid shifts toward renewables, their platform helps optimise and trade large-scale battery storage and renewable assets, supporting a more flexible, reliable, and low-carbon energy system. You'll be part of a collaborative, inclusive team solving complex problems in a fast-paced, high-impact environment. About the Role: We're looking for a Senior Data Engineer to design, build, and scale the data infrastructure behind the company's platform. Data is central to their work, from power market analytics to real-time asset telemetry. You'll focus on delivering robust data products (not just pipelines), enabling data-driven decisions across the business and for their clients. You'll work closely with data scientists, engineers, and stakeholders to help shape the future of energy systems. What You'll Do: Design and build scalable data services within a modern architecture. Develop ETL pipelines for efficient data ingestion and transformation. Enable advanced analytics and optimisation of energy assets. Apply DevOps best practices using Terraform and AWS. Maintain high standards of data quality and reliability. Collaborate across teams to deliver impactful solutions. Mentor team members and promote best practices. About You: Degree in Computer Science (or equivalent experience) Strong experience with data pipelines, storage, and platforms Advanced Python skills and production-level coding experience Experience building and deploying data services end-to-end Solid understanding of ETL and data engineering best practices Experience with SQL/NoSQL, APIs, and cloud platforms Familiarity with big data tools and MLOps concepts Strong communication, collaboration, and mentoring skills Main Tech Stack: Python AWS (S3, Athena), Terraform, Docker Prefect, Pulsar PostgreSQL, Cassandra GitLab CI/CD What's On Offer: 25 days holiday + bank holidays + festive closure Flexible, hybrid working Enhanced parental leave Annual salary reviews Learning & development budget + paid memberships Inclusive culture, employee networks, and regular socials Sound good to you? Send your CV to Lily at Viqu Energy today!
Apr 14, 2026
Full time
Senior Data Engineer London (Hybrid Working) Full-time Permanent 80,000 - 90,000 (depending on experience) About the Company: Viqu Energy is working with a fast-growing tech company building solutions at the forefront of the energy transition. As the grid shifts toward renewables, their platform helps optimise and trade large-scale battery storage and renewable assets, supporting a more flexible, reliable, and low-carbon energy system. You'll be part of a collaborative, inclusive team solving complex problems in a fast-paced, high-impact environment. About the Role: We're looking for a Senior Data Engineer to design, build, and scale the data infrastructure behind the company's platform. Data is central to their work, from power market analytics to real-time asset telemetry. You'll focus on delivering robust data products (not just pipelines), enabling data-driven decisions across the business and for their clients. You'll work closely with data scientists, engineers, and stakeholders to help shape the future of energy systems. What You'll Do: Design and build scalable data services within a modern architecture. Develop ETL pipelines for efficient data ingestion and transformation. Enable advanced analytics and optimisation of energy assets. Apply DevOps best practices using Terraform and AWS. Maintain high standards of data quality and reliability. Collaborate across teams to deliver impactful solutions. Mentor team members and promote best practices. About You: Degree in Computer Science (or equivalent experience) Strong experience with data pipelines, storage, and platforms Advanced Python skills and production-level coding experience Experience building and deploying data services end-to-end Solid understanding of ETL and data engineering best practices Experience with SQL/NoSQL, APIs, and cloud platforms Familiarity with big data tools and MLOps concepts Strong communication, collaboration, and mentoring skills Main Tech Stack: Python AWS (S3, Athena), Terraform, Docker Prefect, Pulsar PostgreSQL, Cassandra GitLab CI/CD What's On Offer: 25 days holiday + bank holidays + festive closure Flexible, hybrid working Enhanced parental leave Annual salary reviews Learning & development budget + paid memberships Inclusive culture, employee networks, and regular socials Sound good to you? Send your CV to Lily at Viqu Energy today!
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The Opportunity Join the innovative Turing team, where we build computational systems that help scientists explore biological data, generate hypotheses, and reason about mechanisms of disease. As a Senior / Principal Data Scientist, you will develop and apply modern AI approaches, including large language models, agentic workflows, and data-driven evaluation systems, to accelerate scientific discovery. The Turing team sits at the intersection of machine learning, data science, and biology. We build systems that integrate diverse biomedical datasets, extract insights from the scientific literature, and support decision-making in target discovery and therapeutic development. Our work combines strong engineering, machine learning research, and deep engagement with disease biology. This role is ideal for someone excited about applying LLMs and agent-based systems to complex scientific problems, working closely with biologists, data scientists, and engineers to turn computational ideas into practical tools for discovery. Your Responsibilities Develop and deploy LLM-driven systems to support scientific discovery, including literature analysis, hypothesis generation, and knowledge extraction. Design and implement agentic workflows that integrate multiple tools, models, and data sources to support biological reasoning and research workflows. Work with large, heterogeneous biomedical datasets (omics, literature, knowledge bases, and clinical data) to generate insights relevant to target discovery. Develop evaluation frameworks and benchmarks to assess the performance and reliability of AI systems in scientific contexts. Collaborate closely with biologists, computational scientists, and engineers to translate biological questions into computational solutions. Prototype and productionise data pipelines, models, and analysis workflows that support ongoing discovery programmes. Contribute to the development of new computational approaches for reasoning over biological knowledge and evidence. Professionally, You Have A PhD or equivalent experience in computational biology, machine learning, data science, or a related quantitative field. Strong practical experience working with large language models and modern AI tooling, including prompt engineering, tool use, retrieval systems, or agent-based architectures. Strong programming skills in Python, with experience working with large-scale datasets and modern ML tooling. Experience designing evaluation frameworks, benchmarks, or testing methodologies for machine learning systems. An understanding of biological data and the drug discovery process, or a strong motivation to work in this domain. Desirable Knowledge or Experience Experience applying LLMs or AI systems to scientific or biomedical data. Familiarity with literature mining, knowledge integration, or scientific knowledge representation. Experience building multi-step or agent-based reasoning systems. A background in computational biology, genomics, or drug discovery. Experience working in cross-disciplinary teams combining machine learning and biology. Personally, You Are A collaborative team player who enjoys working in interdisciplinary environments. A clear communicator who can translate complex ideas across computational and biological teams. Curious, pragmatic, and motivated by solving meaningful scientific problems. Excited to work on technology that can have real impact on patients. Humble, thoughtful, and eager to learn. Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting! Relation Therapeutics is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.
Apr 14, 2026
Full time
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The Opportunity Join the innovative Turing team, where we build computational systems that help scientists explore biological data, generate hypotheses, and reason about mechanisms of disease. As a Senior / Principal Data Scientist, you will develop and apply modern AI approaches, including large language models, agentic workflows, and data-driven evaluation systems, to accelerate scientific discovery. The Turing team sits at the intersection of machine learning, data science, and biology. We build systems that integrate diverse biomedical datasets, extract insights from the scientific literature, and support decision-making in target discovery and therapeutic development. Our work combines strong engineering, machine learning research, and deep engagement with disease biology. This role is ideal for someone excited about applying LLMs and agent-based systems to complex scientific problems, working closely with biologists, data scientists, and engineers to turn computational ideas into practical tools for discovery. Your Responsibilities Develop and deploy LLM-driven systems to support scientific discovery, including literature analysis, hypothesis generation, and knowledge extraction. Design and implement agentic workflows that integrate multiple tools, models, and data sources to support biological reasoning and research workflows. Work with large, heterogeneous biomedical datasets (omics, literature, knowledge bases, and clinical data) to generate insights relevant to target discovery. Develop evaluation frameworks and benchmarks to assess the performance and reliability of AI systems in scientific contexts. Collaborate closely with biologists, computational scientists, and engineers to translate biological questions into computational solutions. Prototype and productionise data pipelines, models, and analysis workflows that support ongoing discovery programmes. Contribute to the development of new computational approaches for reasoning over biological knowledge and evidence. Professionally, You Have A PhD or equivalent experience in computational biology, machine learning, data science, or a related quantitative field. Strong practical experience working with large language models and modern AI tooling, including prompt engineering, tool use, retrieval systems, or agent-based architectures. Strong programming skills in Python, with experience working with large-scale datasets and modern ML tooling. Experience designing evaluation frameworks, benchmarks, or testing methodologies for machine learning systems. An understanding of biological data and the drug discovery process, or a strong motivation to work in this domain. Desirable Knowledge or Experience Experience applying LLMs or AI systems to scientific or biomedical data. Familiarity with literature mining, knowledge integration, or scientific knowledge representation. Experience building multi-step or agent-based reasoning systems. A background in computational biology, genomics, or drug discovery. Experience working in cross-disciplinary teams combining machine learning and biology. Personally, You Are A collaborative team player who enjoys working in interdisciplinary environments. A clear communicator who can translate complex ideas across computational and biological teams. Curious, pragmatic, and motivated by solving meaningful scientific problems. Excited to work on technology that can have real impact on patients. Humble, thoughtful, and eager to learn. Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting! Relation Therapeutics is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.
