Lead a high visibility data science function and shape business decisions at the highest level. Lead a small but impactful data science team and influence senior stakeholders across the business. Work on forecasting, machine learning and AI initiatives using Databricks, Python and modern analytics tools. 12-month FTC with strong salary, benefits and potential for possible extension. This Data Science Lead role combines hands-on technical work with people leadership. You'll lead a small team, build relationships with senior stakeholders and deliver analytics that directly influence commercial decisions. If you enjoy translating complex data into clear business outcomes, this could be a brilliant opportunity! What you'll be doing As Data Science Lead, you'll lead a team of Data Scientists and Analysts while remaining hands-on with analytics, forecasting and machine learning projects. You'll help shape priorities, coach your team and ensure high quality delivery across multiple workstreams.You'll work closely with commercial teams, senior leaders and executives to understand business challenges and turn them into practical, data-driven solutions. The role requires someone who is comfortable explaining technical concepts to non-technical audiences and influencing decision making at all levels.The Data Science Lead will identify opportunities to apply advanced analytics, forecasting, machine learning and AI to improve business performance. You'll partner with Data Engineering and BI teams to ensure solutions are scalable, embedded and delivering measurable value.This is a highly visible role where your work will directly impact strategy, performance and future business decisions. Sound like you? What experience you'll need to apply Previous experience in a Data Science Lead or similar senior data science position Strong commercial experience delivering data science solutions that drive measurable business outcomes Excellent Python and SQL skills Strong experience working with Databricks Experience developing forecasting models and advanced analytics solutions Experience with machine learning techniques and AI-powered solutions Previous line management, mentoring or team leadership experience Ability to communicate technical concepts clearly to non-technical stakeholders What you'll get in return for your experience You'll receive a salary of up to £65,000 plus a comprehensive benefits package. The role is based in Bristol with an expectation of two days per week in the office. This Data Science Lead opportunity is offered as a 12-month fixed-term contract, with the potential for extension depending on business requirements. What's next? Please apply via the advert and we'll get in touch if it's a good fit, and arrange a call!
Jul 08, 2026
Full time
Lead a high visibility data science function and shape business decisions at the highest level. Lead a small but impactful data science team and influence senior stakeholders across the business. Work on forecasting, machine learning and AI initiatives using Databricks, Python and modern analytics tools. 12-month FTC with strong salary, benefits and potential for possible extension. This Data Science Lead role combines hands-on technical work with people leadership. You'll lead a small team, build relationships with senior stakeholders and deliver analytics that directly influence commercial decisions. If you enjoy translating complex data into clear business outcomes, this could be a brilliant opportunity! What you'll be doing As Data Science Lead, you'll lead a team of Data Scientists and Analysts while remaining hands-on with analytics, forecasting and machine learning projects. You'll help shape priorities, coach your team and ensure high quality delivery across multiple workstreams.You'll work closely with commercial teams, senior leaders and executives to understand business challenges and turn them into practical, data-driven solutions. The role requires someone who is comfortable explaining technical concepts to non-technical audiences and influencing decision making at all levels.The Data Science Lead will identify opportunities to apply advanced analytics, forecasting, machine learning and AI to improve business performance. You'll partner with Data Engineering and BI teams to ensure solutions are scalable, embedded and delivering measurable value.This is a highly visible role where your work will directly impact strategy, performance and future business decisions. Sound like you? What experience you'll need to apply Previous experience in a Data Science Lead or similar senior data science position Strong commercial experience delivering data science solutions that drive measurable business outcomes Excellent Python and SQL skills Strong experience working with Databricks Experience developing forecasting models and advanced analytics solutions Experience with machine learning techniques and AI-powered solutions Previous line management, mentoring or team leadership experience Ability to communicate technical concepts clearly to non-technical stakeholders What you'll get in return for your experience You'll receive a salary of up to £65,000 plus a comprehensive benefits package. The role is based in Bristol with an expectation of two days per week in the office. This Data Science Lead opportunity is offered as a 12-month fixed-term contract, with the potential for extension depending on business requirements. What's next? Please apply via the advert and we'll get in touch if it's a good fit, and arrange a call!
Senior Laboratory Engineer London Competitive Salary Our client is an ambitious start-up looking to utilise AI within the field of Materials Science to help advance cutting-edge technology in this area. This is a one-of-a-kind opportunity to join their small dynamic team in the early stages as they set-up and develop their research laboratory in London. You'll work closely with material scientists, computational and AI teams, ensuring that experimental throughput and data quality can keep pace with requirements. This is a hands-on, senior role with real ownership. You will be joining a small, highly ambitious team of world-renowned engineers, AI researchers, and materials scientists. We move fast and value people who are energised by that. Key areas: Own lab throughput and operational reliability across synthesis, sample preparation, characterisation and data capture workflows; identify bottlenecks, reduce downtime, improve instrument utilisation, and increase the number of high-quality experiments the lab can run per week. Develop and maintain preventive maintenance schedules, SOPs, and risk assessments for all equipment. Diagnose and resolve complex equipment failures (vacuum leaks, electronic faults, mechanical misalignment), minimising downtime. Design and run synthesis and characterisation experiments in collaboration with materials scientists, ensuring reproducibility and data integrity. Onboard and mentor junior lab staff on instrument operation, maintenance practices, and safety. Evaluate, procure, and commission new equipment and consumables as our lab capabilities expand. Liaise with vendors and service engineers on repairs, calibrations, and upgrades. Support the integration of experimental outputs into automated data pipelines feeding the AI platform. Support the automation of lab equipment to ensure experimental throughput and data quality can keep pace with requirements. Candidate: Relevant educational background in materials science, physics, engineering or related. Substantial hands-on experience maintaining and troubleshooting research-grade laboratory equipment in a professional setting. Experience improving throughput, uptime, turnaround time or reliability in an instrument heavy lab, pilot line, semiconductor fab, analytical testing facility, manufacturing environment or similar setting. Practical expertise across our instrument suite or a closely related set: High-vacuum equipment. Scanning electron microscopy (SEM). Optical characterisation. X-ray diffraction (XRD). High-field magnets. High-temperature metallurgical synthesis. Strong vacuum systems knowledge: pump maintenance, leak detection, RGA, bakeout procedures. Ability to perform component-level diagnostics and repairs, vacuum, electronic, and mechanical, without waiting for factory service representatives. Familiarity with ionising radiation safety regulations and relevant local licensing requirements. Rigorous approach to documentation: SOPs, maintenance logs and data provenance. Some CAD experience for fixture design and lab modifications. Nice to Have! Experience integrating instruments with automated data capture or laboratory management systems. Python or scripting experience for instrument control, automation or data processing.
Jul 08, 2026
Full time
Senior Laboratory Engineer London Competitive Salary Our client is an ambitious start-up looking to utilise AI within the field of Materials Science to help advance cutting-edge technology in this area. This is a one-of-a-kind opportunity to join their small dynamic team in the early stages as they set-up and develop their research laboratory in London. You'll work closely with material scientists, computational and AI teams, ensuring that experimental throughput and data quality can keep pace with requirements. This is a hands-on, senior role with real ownership. You will be joining a small, highly ambitious team of world-renowned engineers, AI researchers, and materials scientists. We move fast and value people who are energised by that. Key areas: Own lab throughput and operational reliability across synthesis, sample preparation, characterisation and data capture workflows; identify bottlenecks, reduce downtime, improve instrument utilisation, and increase the number of high-quality experiments the lab can run per week. Develop and maintain preventive maintenance schedules, SOPs, and risk assessments for all equipment. Diagnose and resolve complex equipment failures (vacuum leaks, electronic faults, mechanical misalignment), minimising downtime. Design and run synthesis and characterisation experiments in collaboration with materials scientists, ensuring reproducibility and data integrity. Onboard and mentor junior lab staff on instrument operation, maintenance practices, and safety. Evaluate, procure, and commission new equipment and consumables as our lab capabilities expand. Liaise with vendors and service engineers on repairs, calibrations, and upgrades. Support the integration of experimental outputs into automated data pipelines feeding the AI platform. Support the automation of lab equipment to ensure experimental throughput and data quality can keep pace with requirements. Candidate: Relevant educational background in materials science, physics, engineering or related. Substantial hands-on experience maintaining and troubleshooting research-grade laboratory equipment in a professional setting. Experience improving throughput, uptime, turnaround time or reliability in an instrument heavy lab, pilot line, semiconductor fab, analytical testing facility, manufacturing environment or similar setting. Practical expertise across our instrument suite or a closely related set: High-vacuum equipment. Scanning electron microscopy (SEM). Optical characterisation. X-ray diffraction (XRD). High-field magnets. High-temperature metallurgical synthesis. Strong vacuum systems knowledge: pump maintenance, leak detection, RGA, bakeout procedures. Ability to perform component-level diagnostics and repairs, vacuum, electronic, and mechanical, without waiting for factory service representatives. Familiarity with ionising radiation safety regulations and relevant local licensing requirements. Rigorous approach to documentation: SOPs, maintenance logs and data provenance. Some CAD experience for fixture design and lab modifications. Nice to Have! Experience integrating instruments with automated data capture or laboratory management systems. Python or scripting experience for instrument control, automation or data processing.
Lead AI & Data Scientist London/ Hybrid up to 140k + Benefits Most data leadership roles sit at one end of the spectrum. Either highly technical, buried in models and architecture, or heavily stakeholder-focused with little involvement in the actual delivery. This role sits in the middle (or both). They need your skills in a client and stakeholder facing, upwards and downwards management and technical understanding. You'll lead a growing Data science function responsible for delivering real-world AI, machine learning and data science solutions across a complex professional services environment. The challenge is not simply building models. It's understanding business problems, translating them into practical solutions, and helping senior stakeholders understand exactly how technology can create value. The team is already delivering across machine learning, GenAI, document intelligence, search, retrieval, automation and knowledge management. The next phase involves expanding AI capability, shaping a longer-term roadmap around emerging technologies such as Agentic AI, and driving adoption across the wider business. Key responsibilities include: Leading a team of Data Scientists and AI specialists Defining Data & AI strategy and technical direction Designing and delivering Machine Learning, NLP, GenAI and RAG-based solutions Working directly with senior business stakeholders and clients Translating complex technical concepts into clear business language Driving delivery of AI products from concept through to production Establishing governance, evaluation frameworks and responsible AI controls Coaching and mentoring technical teams while remaining hands-on when required To be successful, you'll need a strong background in Data Science, Machine Learning and modern AI technologies, combined with the communication skills to operate confidently from technical workshops through to executive-level discussions. If you can articulate complex AI concepts in 30 seconds, influence stakeholders at every level, and lead a team focused on solving difficult business problems with data - please apply. An opportunity to help shape the future direction of AI within a business that is investing heavily in the technology, in a disruptive industry and determined to stay ahead of the curve.
Jul 08, 2026
Full time
Lead AI & Data Scientist London/ Hybrid up to 140k + Benefits Most data leadership roles sit at one end of the spectrum. Either highly technical, buried in models and architecture, or heavily stakeholder-focused with little involvement in the actual delivery. This role sits in the middle (or both). They need your skills in a client and stakeholder facing, upwards and downwards management and technical understanding. You'll lead a growing Data science function responsible for delivering real-world AI, machine learning and data science solutions across a complex professional services environment. The challenge is not simply building models. It's understanding business problems, translating them into practical solutions, and helping senior stakeholders understand exactly how technology can create value. The team is already delivering across machine learning, GenAI, document intelligence, search, retrieval, automation and knowledge management. The next phase involves expanding AI capability, shaping a longer-term roadmap around emerging technologies such as Agentic AI, and driving adoption across the wider business. Key responsibilities include: Leading a team of Data Scientists and AI specialists Defining Data & AI strategy and technical direction Designing and delivering Machine Learning, NLP, GenAI and RAG-based solutions Working directly with senior business stakeholders and clients Translating complex technical concepts into clear business language Driving delivery of AI products from concept through to production Establishing governance, evaluation frameworks and responsible AI controls Coaching and mentoring technical teams while remaining hands-on when required To be successful, you'll need a strong background in Data Science, Machine Learning and modern AI technologies, combined with the communication skills to operate confidently from technical workshops through to executive-level discussions. If you can articulate complex AI concepts in 30 seconds, influence stakeholders at every level, and lead a team focused on solving difficult business problems with data - please apply. An opportunity to help shape the future direction of AI within a business that is investing heavily in the technology, in a disruptive industry and determined to stay ahead of the curve.
Lead Data Scientist - Credit Modelling & Data Products My client is building a next-generation data and analytics capability using large-scale financial datasets spanning millions of records. Their goal is to transform complex data into predictive insights, industry intelligence, and innovative data products that create real business value. As Lead Data Scientist, you will be responsible for designing, building, and governing predictive models that support data-driven products and strategic decision-making. You will work closely with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Skills & Experience Technical Expertise Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL . Hands-on experience with Snowflake or similar cloud-based data warehouse platforms. Experience using Git and reproducible development practices. Strong understanding of data pipelines, data quality, and analytics engineering principles. Credit Modelling & Predictive Analytics Proven experience conducting rigorous exploratory data analysis and feature engineering. Experience building predictive models in regulated financial services environments, ideally within: Retail banking Commercial banking Asset securitisation Credit management Expertise developing and deploying credit risk models, including: Probability of Default (PD) models Scorecards Risk segmentation models Experience evaluating and implementing challenger models such as XGBoost while balancing explainability and regulatory requirements. Strong understanding of model performance metrics including AUC, Gini, KS, calibration, and business impact measurement. Experience deploying production-ready models with monitoring, retraining triggers, and controls against issues such as target leakage. Governance & Regulatory Knowledge Experience operating within model risk governance frameworks, including documentation, validation, and audit requirements. Strong understanding of GDPR and automated decision-making considerations. Awareness of emerging AI regulations, including the EU AI Act and related governance requirements. Knowledge of security-by-design principles when working with sensitive financial and personal data. Why Join Us? Opportunity to shape and build a new data products capability from the ground up. Direct exposure to senior leadership and strategic decision-making. Work on complex, high-value datasets and industry-leading predictive analytics challenges. Join a collaborative environment that values innovation, ownership, and impact. Competitive salary and benefits package with flexible hybrid working. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Jul 07, 2026
Full time
Lead Data Scientist - Credit Modelling & Data Products My client is building a next-generation data and analytics capability using large-scale financial datasets spanning millions of records. Their goal is to transform complex data into predictive insights, industry intelligence, and innovative data products that create real business value. As Lead Data Scientist, you will be responsible for designing, building, and governing predictive models that support data-driven products and strategic decision-making. You will work closely with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Skills & Experience Technical Expertise Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL . Hands-on experience with Snowflake or similar cloud-based data warehouse platforms. Experience using Git and reproducible development practices. Strong understanding of data pipelines, data quality, and analytics engineering principles. Credit Modelling & Predictive Analytics Proven experience conducting rigorous exploratory data analysis and feature engineering. Experience building predictive models in regulated financial services environments, ideally within: Retail banking Commercial banking Asset securitisation Credit management Expertise developing and deploying credit risk models, including: Probability of Default (PD) models Scorecards Risk segmentation models Experience evaluating and implementing challenger models such as XGBoost while balancing explainability and regulatory requirements. Strong understanding of model performance metrics including AUC, Gini, KS, calibration, and business impact measurement. Experience deploying production-ready models with monitoring, retraining triggers, and controls against issues such as target leakage. Governance & Regulatory Knowledge Experience operating within model risk governance frameworks, including documentation, validation, and audit requirements. Strong understanding of GDPR and automated decision-making considerations. Awareness of emerging AI regulations, including the EU AI Act and related governance requirements. Knowledge of security-by-design principles when working with sensitive financial and personal data. Why Join Us? Opportunity to shape and build a new data products capability from the ground up. Direct exposure to senior leadership and strategic decision-making. Work on complex, high-value datasets and industry-leading predictive analytics challenges. Join a collaborative environment that values innovation, ownership, and impact. Competitive salary and benefits package with flexible hybrid working. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning
Jul 07, 2026
Full time
Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning
The Rosalind Franklin Institute
Harwell, Oxfordshire
Research Associate in Secondary Ion Mass Spectrometry SALARY: From £38,500 per annum (depending on skills and experience) LOCATION: Didcot, Oxfordshire JOB TYPE: 3 Years, Full-Time, Fixed Term Contract The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. As part of the Integrated Chemical Imaging in Cells and Tissue Challenge, your role will be to develop mass spectrometry (MS) technologies that provide a comprehensive, spatially-resolved chemical view of whole tissues at near cellular resolution. Secondary ion mass spectrometry (SIMS) has the best in spatial resolution of imaging MS techniques, but there are still challenges in obtaining a holistic picture of the molecular makeup of cells at a subcellular level. This role will work with cutting edge instrumentation and further develop this instrumentation towards tackling this challenge. As a Research Associate at the Franklin, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills and establish a growing reputation externally. Key Responsibilities As a Research Associate you will: Develop new SIMS modalities for advanced sensitivity and spacial resolution. Collaborate with biological and MS experts at the Franklin to optimise MSI conditions and methods for specific applications and challenges. Adapt to working across multi-modal instrumentation and collating multiomic and imaging data from diverse sources and scales. Investigate the use of cutting edge instrumentation to explore key scientific challenges such as sensitivity and spatial resolution. Design, model and construct new modalities to enable subcellular chemical imaging. Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research report, patent application) in a scientific or technology area of interest. Work within a project team, contributing to wider projects around Franklin's key Challenges. Lead major contributions to outputs from research including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchanging of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £37,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world!
Jul 07, 2026
Contractor
Research Associate in Secondary Ion Mass Spectrometry SALARY: From £38,500 per annum (depending on skills and experience) LOCATION: Didcot, Oxfordshire JOB TYPE: 3 Years, Full-Time, Fixed Term Contract The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. As part of the Integrated Chemical Imaging in Cells and Tissue Challenge, your role will be to develop mass spectrometry (MS) technologies that provide a comprehensive, spatially-resolved chemical view of whole tissues at near cellular resolution. Secondary ion mass spectrometry (SIMS) has the best in spatial resolution of imaging MS techniques, but there are still challenges in obtaining a holistic picture of the molecular makeup of cells at a subcellular level. This role will work with cutting edge instrumentation and further develop this instrumentation towards tackling this challenge. As a Research Associate at the Franklin, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills and establish a growing reputation externally. Key Responsibilities As a Research Associate you will: Develop new SIMS modalities for advanced sensitivity and spacial resolution. Collaborate with biological and MS experts at the Franklin to optimise MSI conditions and methods for specific applications and challenges. Adapt to working across multi-modal instrumentation and collating multiomic and imaging data from diverse sources and scales. Investigate the use of cutting edge instrumentation to explore key scientific challenges such as sensitivity and spatial resolution. Design, model and construct new modalities to enable subcellular chemical imaging. Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research report, patent application) in a scientific or technology area of interest. Work within a project team, contributing to wider projects around Franklin's key Challenges. Lead major contributions to outputs from research including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchanging of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £37,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world!
The Rosalind Franklin Institute
Harwell, Oxfordshire
Research Associate in Native Ambient Mass Spectrometry SALARY: From £38,500 per annum (depending on skills and experience) LOCATION: Didcot, Oxfordshire JOB TYPE: 3 Years, Full-Time, Fixed Term Contract The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. We seek to recruit a postdoctoral research associate to undertake research in native ambient mass spectrometry imaging. The ideal candidate will have experience in at least two of the following: native mass spectrometry, top-down mass spectrometry, mass spectrometry imaging, ion source development, instrument development. As a Research Associate at the Franklin, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills and establish a growing reputation externally. In this role, you will be responsible for developing tools for native ambient mass spectrometry, including nano-DESI and related techniques, and integration of NAMS with other structural biology techniques. You will collaborate closely with internal and external stakeholders to develop innovative solutions for improved mass spectrometry imaging of intact proteins and their assemblies in tissue and advancing integrative spatial and structural biology. The project will be hosted in the new Rosalind Franklin Institute facilities at Harwell but will also involve working with investigators across the Franklin, collaborator laboratories and with member institutes. Key Responsibilities As a Research Associate you will: Develop new tools for native ambient mass spectrometry imaging. Design, model and construct new instrumentation to enable chemical imaging. Collaborate with biological and MS experts at the Franklin to optimise MSI conditions and methods for specific collaborations and challenges. Adapt to working across multi-modal instrumentation and collating multiomic and imaging data from diverse sources and scales. Investigate the use of cutting edge instrumentation to explore key scientific challenges such as sensitivity and spatial resolution. Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research report, patent application) in a scientific or technology area of interest. Work within a project team, contributing to wider projects around Franklin's key Challenges. Lead major contributions to outputs from research including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchanging of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £37,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world!
Jul 07, 2026
Contractor
Research Associate in Native Ambient Mass Spectrometry SALARY: From £38,500 per annum (depending on skills and experience) LOCATION: Didcot, Oxfordshire JOB TYPE: 3 Years, Full-Time, Fixed Term Contract The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. We seek to recruit a postdoctoral research associate to undertake research in native ambient mass spectrometry imaging. The ideal candidate will have experience in at least two of the following: native mass spectrometry, top-down mass spectrometry, mass spectrometry imaging, ion source development, instrument development. As a Research Associate at the Franklin, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills and establish a growing reputation externally. In this role, you will be responsible for developing tools for native ambient mass spectrometry, including nano-DESI and related techniques, and integration of NAMS with other structural biology techniques. You will collaborate closely with internal and external stakeholders to develop innovative solutions for improved mass spectrometry imaging of intact proteins and their assemblies in tissue and advancing integrative spatial and structural biology. The project will be hosted in the new Rosalind Franklin Institute facilities at Harwell but will also involve working with investigators across the Franklin, collaborator laboratories and with member institutes. Key Responsibilities As a Research Associate you will: Develop new tools for native ambient mass spectrometry imaging. Design, model and construct new instrumentation to enable chemical imaging. Collaborate with biological and MS experts at the Franklin to optimise MSI conditions and methods for specific collaborations and challenges. Adapt to working across multi-modal instrumentation and collating multiomic and imaging data from diverse sources and scales. Investigate the use of cutting edge instrumentation to explore key scientific challenges such as sensitivity and spatial resolution. Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research report, patent application) in a scientific or technology area of interest. Work within a project team, contributing to wider projects around Franklin's key Challenges. Lead major contributions to outputs from research including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchanging of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £37,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world!
Job Title: Product Data Scientist - Hybrid - Up to £80,000 Location: London (Hybrid, 2 days p/w in office) Salary: Up to £80,000 + benefits Contract: Permanent The Company A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth. The Role As a Product Data Scientist , you'll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You'll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: Analyse user behaviour to uncover insights, identify pain points, and influence product direction. Design experiments and support a culture of testing, learning, and iteration. Define and align key business metrics, ensuring consistency and accuracy across teams. Build and maintain dashboards and tools to empower stakeholders with self-serve insights. Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations. Collaborate across functions to close data gaps and drive analytics best practice. Stay current on industry trends and champion innovative approaches to product data science. The Candidate Proven experience in analytical roles, ideally within a digital-first or tech-led business. Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash). Ability to translate business challenges into clear analytical projects and recommendations. Strong data storytelling and presentation skills, with confidence engaging senior stakeholders. Curious, proactive, and detail-oriented problem solver. Team player with strong collaboration skills. What's on Offer Salary up to £80,000 + bonus Hybrid working (2 days per week in London office) Competitive annual leave package Pension scheme and healthcare support Employee discounts and perks Regular team socials and recognition initiatives Strong learning and development opportunities Apply Now If you're an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.
Jul 07, 2026
Full time
Job Title: Product Data Scientist - Hybrid - Up to £80,000 Location: London (Hybrid, 2 days p/w in office) Salary: Up to £80,000 + benefits Contract: Permanent The Company A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth. The Role As a Product Data Scientist , you'll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You'll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: Analyse user behaviour to uncover insights, identify pain points, and influence product direction. Design experiments and support a culture of testing, learning, and iteration. Define and align key business metrics, ensuring consistency and accuracy across teams. Build and maintain dashboards and tools to empower stakeholders with self-serve insights. Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations. Collaborate across functions to close data gaps and drive analytics best practice. Stay current on industry trends and champion innovative approaches to product data science. The Candidate Proven experience in analytical roles, ideally within a digital-first or tech-led business. Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash). Ability to translate business challenges into clear analytical projects and recommendations. Strong data storytelling and presentation skills, with confidence engaging senior stakeholders. Curious, proactive, and detail-oriented problem solver. Team player with strong collaboration skills. What's on Offer Salary up to £80,000 + bonus Hybrid working (2 days per week in London office) Competitive annual leave package Pension scheme and healthcare support Employee discounts and perks Regular team socials and recognition initiatives Strong learning and development opportunities Apply Now If you're an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.
Lead Data Scientist required by an established UK organisation on a 12-month fixed-term contract. This is an excellent opportunity for a technically strong data science professional who enjoys leading high-performing teams while remaining hands-on with advanced analytics, machine learning and AI. You'll play a key role in shaping the organisation's data strategy, delivering innovative analytical solutions and driving commercial value through data. The Role Reporting into the Head of Analytics, you'll lead a team of Data Scientists and Analysts, providing both technical direction and people leadership. You'll work closely with senior stakeholders across the business to identify opportunities where data science can improve decision-making, increase efficiency and unlock new commercial insights. This is a varied role combining leadership, stakeholder engagement and hands-on data science. Key Responsibilities Lead, mentor and develop a team of Data Scientists and Analysts. Deliver advanced analytics, predictive modelling and machine learning solutions to solve complex business challenges. Identify opportunities where AI and data science can create measurable business improvements. Translate business requirements into scalable analytical solutions. Work alongside Data Engineering and BI teams to deploy and maintain production-ready models. Champion innovation by evaluating emerging technologies and best practices within data science and AI. Present analytical findings and recommendations to senior stakeholders across the organisation. Drive continuous improvement across analytical capability, governance and delivery. About You You'll be an experienced Lead Data Scientist or Senior Data Scientist with previous leadership experience and a passion for delivering business value through data. You'll ideally have experience with: Python, SQL and either R or similar analytical languages. Machine Learning, predictive modelling and statistical analysis. Databricks or comparable cloud-based analytics platforms. Tableau, Power BI or other data visualisation tools. Working with cloud data platforms, data lakes and enterprise data warehouses. Leading and developing technical teams. Communicating complex analytical concepts to both technical and non-technical audiences. You'll be naturally inquisitive, commercially minded and enjoy working closely with stakeholders to solve challenging business problems. What's on Offer Salary between 70,000- 80,000 10% annual bonus Private Healthcare Generous pension 25 days annual leave plus the option to buy additional holiday Hybrid working (3 days per week in the Bristol office) Employee wellbeing programme Excellent learning and development opportunities A collaborative and supportive working environment This is a fantastic opportunity to join a forward-thinking organisation where data is central to business strategy and innovation. If you're interested in finding out more, we'd love to hear from you.
Jul 07, 2026
Full time
Lead Data Scientist required by an established UK organisation on a 12-month fixed-term contract. This is an excellent opportunity for a technically strong data science professional who enjoys leading high-performing teams while remaining hands-on with advanced analytics, machine learning and AI. You'll play a key role in shaping the organisation's data strategy, delivering innovative analytical solutions and driving commercial value through data. The Role Reporting into the Head of Analytics, you'll lead a team of Data Scientists and Analysts, providing both technical direction and people leadership. You'll work closely with senior stakeholders across the business to identify opportunities where data science can improve decision-making, increase efficiency and unlock new commercial insights. This is a varied role combining leadership, stakeholder engagement and hands-on data science. Key Responsibilities Lead, mentor and develop a team of Data Scientists and Analysts. Deliver advanced analytics, predictive modelling and machine learning solutions to solve complex business challenges. Identify opportunities where AI and data science can create measurable business improvements. Translate business requirements into scalable analytical solutions. Work alongside Data Engineering and BI teams to deploy and maintain production-ready models. Champion innovation by evaluating emerging technologies and best practices within data science and AI. Present analytical findings and recommendations to senior stakeholders across the organisation. Drive continuous improvement across analytical capability, governance and delivery. About You You'll be an experienced Lead Data Scientist or Senior Data Scientist with previous leadership experience and a passion for delivering business value through data. You'll ideally have experience with: Python, SQL and either R or similar analytical languages. Machine Learning, predictive modelling and statistical analysis. Databricks or comparable cloud-based analytics platforms. Tableau, Power BI or other data visualisation tools. Working with cloud data platforms, data lakes and enterprise data warehouses. Leading and developing technical teams. Communicating complex analytical concepts to both technical and non-technical audiences. You'll be naturally inquisitive, commercially minded and enjoy working closely with stakeholders to solve challenging business problems. What's on Offer Salary between 70,000- 80,000 10% annual bonus Private Healthcare Generous pension 25 days annual leave plus the option to buy additional holiday Hybrid working (3 days per week in the Bristol office) Employee wellbeing programme Excellent learning and development opportunities A collaborative and supportive working environment This is a fantastic opportunity to join a forward-thinking organisation where data is central to business strategy and innovation. If you're interested in finding out more, we'd love to hear from you.
Lead Data Scientist Cardiff / Remote AI, Machine Learning & Data Science Leadership We're partnering with a global B2B SaaS organisation that is making significant investment in AI and Data Science as part of its next phase of growth. This is an opportunity for an experienced Lead Data Scientist to step into a high-impact leadership role, helping to build and shape a growing Data Science function while remaining hands-on with cutting-edge AI and machine learning initiatives. You'll work closely with senior leadership to define the technical direction of Data Science, influence product innovation and lead the development of production-grade machine learning solutions that deliver measurable business value. Why this role stands out: Lead and grow a newly expanding Data Science capability Shape the future AI strategy within a business heavily investing in machine learning and generative AI Drive innovation across predictive analytics, NLP and LLM-powered products Enjoy genuine influence over technical direction, tooling and best practice Work on highly visible projects with direct commercial impact Remote-first environment with strong backing from leadership What you'll be doing: Leading technical decision making across the Data Science function Designing, building and deploying machine learning models into production Driving NLP, Generative AI and LLM initiatives Partnering with Engineering, Product and Operations teams to solve complex business challenges Mentoring and developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python SQL TensorFlow PyTorch AWS Azure SageMaker NLP LLMs MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience Experience leading teams or acting as a technical lead within a Data Science function Strong knowledge of cloud platforms and ML deployment Experience delivering production-ready AI solutions Excellent stakeholder management and communication skills The Opportunity This is more than a traditional Lead Data Scientist position. It's a chance to join at a pivotal stage of growth and play a key role in building the next generation of AI capability within a global technology business. If you're excited by the prospect of leading a team, influencing AI strategy and working on innovative machine learning and LLM projects that make a real difference, we'd love to hear from you.
Jul 07, 2026
Full time
Lead Data Scientist Cardiff / Remote AI, Machine Learning & Data Science Leadership We're partnering with a global B2B SaaS organisation that is making significant investment in AI and Data Science as part of its next phase of growth. This is an opportunity for an experienced Lead Data Scientist to step into a high-impact leadership role, helping to build and shape a growing Data Science function while remaining hands-on with cutting-edge AI and machine learning initiatives. You'll work closely with senior leadership to define the technical direction of Data Science, influence product innovation and lead the development of production-grade machine learning solutions that deliver measurable business value. Why this role stands out: Lead and grow a newly expanding Data Science capability Shape the future AI strategy within a business heavily investing in machine learning and generative AI Drive innovation across predictive analytics, NLP and LLM-powered products Enjoy genuine influence over technical direction, tooling and best practice Work on highly visible projects with direct commercial impact Remote-first environment with strong backing from leadership What you'll be doing: Leading technical decision making across the Data Science function Designing, building and deploying machine learning models into production Driving NLP, Generative AI and LLM initiatives Partnering with Engineering, Product and Operations teams to solve complex business challenges Mentoring and developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python SQL TensorFlow PyTorch AWS Azure SageMaker NLP LLMs MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience Experience leading teams or acting as a technical lead within a Data Science function Strong knowledge of cloud platforms and ML deployment Experience delivering production-ready AI solutions Excellent stakeholder management and communication skills The Opportunity This is more than a traditional Lead Data Scientist position. It's a chance to join at a pivotal stage of growth and play a key role in building the next generation of AI capability within a global technology business. If you're excited by the prospect of leading a team, influencing AI strategy and working on innovative machine learning and LLM projects that make a real difference, we'd love to hear from you.
Data Science Manager London, Hybrid (2-3 days per week) 100,000 - 110,000 This is a Data Science Manager role within a global insurance business, sitting in a growing Strategic Analytics team focused on using predictive modelling and advanced analytics to drive better business decisions. The role is focused on identifying opportunities where data can improve performance, working closely with senior stakeholders to understand business challenges and developing analytics-led solutions that deliver real value. You'll oversee the development of predictive models and machine learning solutions, whilst providing leadership and support to a team of Data Scientists and acting as a key link between the business and analytics functions. It's a hands-on leadership role where you'll be expected to combine strong technical knowledge with stakeholder engagement, mentoring and project delivery. They're looking for somebody with experience across Data Science, Predictive Modelling and Advanced Analytics, ideally within Insurance, London Market or Claims environments, although broader Financial Services experience will also be considered.
Jul 07, 2026
Full time
Data Science Manager London, Hybrid (2-3 days per week) 100,000 - 110,000 This is a Data Science Manager role within a global insurance business, sitting in a growing Strategic Analytics team focused on using predictive modelling and advanced analytics to drive better business decisions. The role is focused on identifying opportunities where data can improve performance, working closely with senior stakeholders to understand business challenges and developing analytics-led solutions that deliver real value. You'll oversee the development of predictive models and machine learning solutions, whilst providing leadership and support to a team of Data Scientists and acting as a key link between the business and analytics functions. It's a hands-on leadership role where you'll be expected to combine strong technical knowledge with stakeholder engagement, mentoring and project delivery. They're looking for somebody with experience across Data Science, Predictive Modelling and Advanced Analytics, ideally within Insurance, London Market or Claims environments, although broader Financial Services experience will also be considered.
Overview Race Against Dementia is a global charity founded by three-time Formula 1 World Champion Sir Jackie Stewart OBE to find preventions, treatments and cures for dementia - faster. We fund and support pioneering early-career scientists around the world, giving them the tools, mentoring and Formula 1-inspired mindset to accelerate breakthroughs. From the UK to the USA, Australia to South Africa, our researchers are rethinking how dementia research is done - applying data science, AI and engineering to neuroscience in bold, collaborative ways. Purpose of the role Race Against Dementia is seeking a proactive and relationship-driven Senior Partnerships Officer to support the delivery of our ambitious fundraising strategy. You will play a key role in managing and developing partnerships that generate income and increase global awareness of our work. Working closely with the Strategic Partnerships Lead, you will support the stewardship and growth of corporate and strategic partnerships, with an additional focus on international fundraising and partnership development. You will help identify and cultivate new opportunities across priority markets, including the USA, Switzerland and other emerging regions. Formula 1 remains our flagship global partner, and this role will support the activation and maximisation of this and other high-profile relationships to drive fundraising and brand visibility. Duties and Responsibilities Deliver partnerships that contribute to Race Against Dementia's fundraising targets and strategic objectives. Support the management of key partnership accounts, acting as a point of contact for partners and maintaining strong, positive relationships. Develop tailored partnership plans, ensuring alignment with partner objectives and demonstrating the impact of their support. Contribute to new business development by researching, identifying, and engaging prospective partners, including internationally. Support international fundraising activity by helping develop opportunities in priority global markets and assisting with partner engagement across different regions. Prepare high-quality partnership proposals and presentations, clearly communicating value, impact, and alignment with funder priorities. Working closely with the Research team, lead the development and delivery of a strategic partner communications programme, strengthening partner engagement through regular research updates, impact reporting, and organisational news. Take ownership of the Partnerships team's use of the CRM system - Salesforce, maintaining accurate records, developing tracking and reporting processes, and supporting prospect research, pipeline management, and new business development activities. Collaborate with internal teams to support the delivery of partnership campaigns, activations, and marketing initiatives. Monitor and report on partnership performance, tracking income, engagement, and impact against agreed targets. Stay informed on trends in corporate partnerships, CSR, and international fundraising to support innovation and growth. Support the activation of Race Against Dementia's partnership with Formula 1 and associated global opportunities to maximise fundraising and awareness. Supporting Events Provide support for key fundraising events, including partner engagement, stewardship and delivery support where required. Assist with the coordination of international events and activations linked to partnership opportunities. Other Duties Carry out any other duties as required by the Strategic Partnerships Lead, CEO and Board of Trustees including: To attend, where appropriate, local, regional, national and international meetings/events. To maintain a good knowledge of international, national and local initiatives which are of benefit to Race Against Dementia. To administer your own workload, including meeting targets and deadlines in line with the Race Against Dementia appraisal system. To attend relevant CPD training events as required. To undertake responsibility, as part of the team, for all Health and Safety work related matters. To work within the guidelines of Race Against Dementia's policies and procedures. All team members are expected to uphold and actively demonstrate Race Against Dementia's values and purpose, fostering a culture of integrity, innovation, and shared ambition to accelerate progress in the race against dementia. This is not intended to be an exhaustive list. Your job description may be subject to change. Equality, Diversity and Inclusion Statement Race Against Dementia aims to be an inclusive organisation where the individuality of every person is treated with respect. Race Against Dementia is committed to eliminating discrimination in any form. This means that all staff, volunteers and everyone with whom we come into contact will be treated with dignity, equality, fairness and respect and no one will receive less favourable treatment. Safeguarding Statement Race Against Dementia is committed to safeguarding and protecting vulnerable adults, children and young people. All our posts are subject to a safer recruitment process, including the discourse of criminal records and vetting checks where appropriate. We have policies and procedures in place that promote safeguarding and safer working practices across the organisation. We reserve the right to interview and appoint before the advertised closing date.
Jul 07, 2026
Full time
Overview Race Against Dementia is a global charity founded by three-time Formula 1 World Champion Sir Jackie Stewart OBE to find preventions, treatments and cures for dementia - faster. We fund and support pioneering early-career scientists around the world, giving them the tools, mentoring and Formula 1-inspired mindset to accelerate breakthroughs. From the UK to the USA, Australia to South Africa, our researchers are rethinking how dementia research is done - applying data science, AI and engineering to neuroscience in bold, collaborative ways. Purpose of the role Race Against Dementia is seeking a proactive and relationship-driven Senior Partnerships Officer to support the delivery of our ambitious fundraising strategy. You will play a key role in managing and developing partnerships that generate income and increase global awareness of our work. Working closely with the Strategic Partnerships Lead, you will support the stewardship and growth of corporate and strategic partnerships, with an additional focus on international fundraising and partnership development. You will help identify and cultivate new opportunities across priority markets, including the USA, Switzerland and other emerging regions. Formula 1 remains our flagship global partner, and this role will support the activation and maximisation of this and other high-profile relationships to drive fundraising and brand visibility. Duties and Responsibilities Deliver partnerships that contribute to Race Against Dementia's fundraising targets and strategic objectives. Support the management of key partnership accounts, acting as a point of contact for partners and maintaining strong, positive relationships. Develop tailored partnership plans, ensuring alignment with partner objectives and demonstrating the impact of their support. Contribute to new business development by researching, identifying, and engaging prospective partners, including internationally. Support international fundraising activity by helping develop opportunities in priority global markets and assisting with partner engagement across different regions. Prepare high-quality partnership proposals and presentations, clearly communicating value, impact, and alignment with funder priorities. Working closely with the Research team, lead the development and delivery of a strategic partner communications programme, strengthening partner engagement through regular research updates, impact reporting, and organisational news. Take ownership of the Partnerships team's use of the CRM system - Salesforce, maintaining accurate records, developing tracking and reporting processes, and supporting prospect research, pipeline management, and new business development activities. Collaborate with internal teams to support the delivery of partnership campaigns, activations, and marketing initiatives. Monitor and report on partnership performance, tracking income, engagement, and impact against agreed targets. Stay informed on trends in corporate partnerships, CSR, and international fundraising to support innovation and growth. Support the activation of Race Against Dementia's partnership with Formula 1 and associated global opportunities to maximise fundraising and awareness. Supporting Events Provide support for key fundraising events, including partner engagement, stewardship and delivery support where required. Assist with the coordination of international events and activations linked to partnership opportunities. Other Duties Carry out any other duties as required by the Strategic Partnerships Lead, CEO and Board of Trustees including: To attend, where appropriate, local, regional, national and international meetings/events. To maintain a good knowledge of international, national and local initiatives which are of benefit to Race Against Dementia. To administer your own workload, including meeting targets and deadlines in line with the Race Against Dementia appraisal system. To attend relevant CPD training events as required. To undertake responsibility, as part of the team, for all Health and Safety work related matters. To work within the guidelines of Race Against Dementia's policies and procedures. All team members are expected to uphold and actively demonstrate Race Against Dementia's values and purpose, fostering a culture of integrity, innovation, and shared ambition to accelerate progress in the race against dementia. This is not intended to be an exhaustive list. Your job description may be subject to change. Equality, Diversity and Inclusion Statement Race Against Dementia aims to be an inclusive organisation where the individuality of every person is treated with respect. Race Against Dementia is committed to eliminating discrimination in any form. This means that all staff, volunteers and everyone with whom we come into contact will be treated with dignity, equality, fairness and respect and no one will receive less favourable treatment. Safeguarding Statement Race Against Dementia is committed to safeguarding and protecting vulnerable adults, children and young people. All our posts are subject to a safer recruitment process, including the discourse of criminal records and vetting checks where appropriate. We have policies and procedures in place that promote safeguarding and safer working practices across the organisation. We reserve the right to interview and appoint before the advertised closing date.
Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.
Jul 07, 2026
Full time
Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.
Job Title: Data Science Analyst Location: Peterborough (hybrid working - 1 day in office) We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities. Sitting within the Group Data Science function, this role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams This is a great opportunity for you to accelerate your career in Data Science, we'll provide you with all the relevant technical training around our data assets and technology stack, in return we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group Key Roles and Responsibilities Drive commercial benefit and solve business problems using data Build strong, collaborative relationships with stakeholders across Markerstudy Group Explore large structured / unstructured data from a variety of sources Explore, understand and visualise data using leading tools and technology Maintenance of our Data Products, Frameworks and Tools Understand End-to-End Data Science / Data Product lifecycles Working with other Data Scientists, analytics professionals on Projects What you can expect to be working on: Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong communication skills, and the ability to "story-tell" to our stakeholders and customers, can adapt for audiences of varying technical abilities. Strong numerical, a solid understanding of mathematical concepts and principles. Resilience can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running and deploying Azure DevOps pipelines would be advantageous Behaviours: Works collaboratively and contributes positively as part of a team Self-motivated with a drive to learn, develop and show ownership Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers
Jul 07, 2026
Full time
Job Title: Data Science Analyst Location: Peterborough (hybrid working - 1 day in office) We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities. Sitting within the Group Data Science function, this role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams This is a great opportunity for you to accelerate your career in Data Science, we'll provide you with all the relevant technical training around our data assets and technology stack, in return we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group Key Roles and Responsibilities Drive commercial benefit and solve business problems using data Build strong, collaborative relationships with stakeholders across Markerstudy Group Explore large structured / unstructured data from a variety of sources Explore, understand and visualise data using leading tools and technology Maintenance of our Data Products, Frameworks and Tools Understand End-to-End Data Science / Data Product lifecycles Working with other Data Scientists, analytics professionals on Projects What you can expect to be working on: Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong communication skills, and the ability to "story-tell" to our stakeholders and customers, can adapt for audiences of varying technical abilities. Strong numerical, a solid understanding of mathematical concepts and principles. Resilience can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running and deploying Azure DevOps pipelines would be advantageous Behaviours: Works collaboratively and contributes positively as part of a team Self-motivated with a drive to learn, develop and show ownership Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers
Originally named, Great British Nuclear, Great British Energy - Nuclear is an arm's length body of the Department for Energy Security and Net Zero, dedicated to supporting the development and deployment of new nuclear technologies in Great Britain. We play a crucial role in advancing nuclear new build, ensuring the UK's energy security and achieving net-zero carbon emissions. Great British Energy - Nuclear focuses on fostering innovation, facilitating investment, and coordinating efforts across the nuclear industry to build a resilient and sustainable energy future. The Nuclear Technical Specialist is a key supporting role in GBE-N's Corporate Technical Function and its mission to drive momentum in the national new nuclear programme. The Nuclear Technical Specialist will be required to support a range of varied activities. Typical activities may include; undertaking research, developing responses to UK Government policy and statements, technology evaluations, supplier bid evaluations, working with and coordinating work by third parties, undertaking optioneering studies, developing a technical project set up playbook, developing AI applications. This is a remote/hybrid role, the successful candidate will be expected to attend our Warrington office (Greater Manchester) a minimum of 1-2 days a week. Accountabilities & Responsibilities: Undertake activities as requested by the CTO team. Collaborate across GBE-N to gather complex technical information, ensuring a complete understanding of relevant information. Analyse, review and translate technical data, requirements, designs, and specifications into clear, concise, and user-friendly documentation for a wide range of audiences from Board Level to individual contributors in each function. Participate in technical support of procurement activities including preparation of tender documentation and review of Supplier bids with values up to £100s of millions. Support the development and utilisation of tools to manage schedules and cost for activities valued up to £10s of millions. Develop and deliver training on various technical subjects to a wide range of audiences from Board Level to individual contributors in each function. Adhere to quality management procedures Contribute to continuous improvement of processes, identifying opportunities to streamline workflows, enhance templates, and improve overall quality. To demonstrate a delivery-focused mindset that is able to meet deadlines and deliver high-quality work. Knowledge, Skills and Experience required: A strong understanding of technical concepts, principles, and terminology relevant to the Civil nuclear industry. Familiarity with the nuclear industry including the roles of key participants, regulatory framework and standards. Knowledge of reactor technologies including Small Modular Reactors, Gen IV reactors and advanced nuclear technologies. Knowledge of nuclear fuel types, fuel manufacturing facilities and the fuel cycle. Knowledge of Systems Engineering and Requirements. Ability to communicate complex technical information in a clear, accurate and accessible manner. Familiarity with technical documentation tools and software including the preparation of reports and presentations. Strong interpersonal and communication skills to collaborate effectively with engineers, scientists, senior management and government officials. Ability to transition flexibly between a range of tasks. Qualifications Bachelor's degree in a relevant Engineering or Science subject. Please complete our short application form to apply for this role. If shortlisted, one of our Talent Attraction Leads will be in touch to discuss the position in more detail. Good luck with your application! At GBE-N, we are committed to building an inclusive workplace where everyone can thrive. We value diversity and encourage applications from all backgrounds, including underrepresented groups. If you require any support or adjustments to help you with your application, please contact us at , and we will be happy to provide assistance.
Jul 06, 2026
Full time
Originally named, Great British Nuclear, Great British Energy - Nuclear is an arm's length body of the Department for Energy Security and Net Zero, dedicated to supporting the development and deployment of new nuclear technologies in Great Britain. We play a crucial role in advancing nuclear new build, ensuring the UK's energy security and achieving net-zero carbon emissions. Great British Energy - Nuclear focuses on fostering innovation, facilitating investment, and coordinating efforts across the nuclear industry to build a resilient and sustainable energy future. The Nuclear Technical Specialist is a key supporting role in GBE-N's Corporate Technical Function and its mission to drive momentum in the national new nuclear programme. The Nuclear Technical Specialist will be required to support a range of varied activities. Typical activities may include; undertaking research, developing responses to UK Government policy and statements, technology evaluations, supplier bid evaluations, working with and coordinating work by third parties, undertaking optioneering studies, developing a technical project set up playbook, developing AI applications. This is a remote/hybrid role, the successful candidate will be expected to attend our Warrington office (Greater Manchester) a minimum of 1-2 days a week. Accountabilities & Responsibilities: Undertake activities as requested by the CTO team. Collaborate across GBE-N to gather complex technical information, ensuring a complete understanding of relevant information. Analyse, review and translate technical data, requirements, designs, and specifications into clear, concise, and user-friendly documentation for a wide range of audiences from Board Level to individual contributors in each function. Participate in technical support of procurement activities including preparation of tender documentation and review of Supplier bids with values up to £100s of millions. Support the development and utilisation of tools to manage schedules and cost for activities valued up to £10s of millions. Develop and deliver training on various technical subjects to a wide range of audiences from Board Level to individual contributors in each function. Adhere to quality management procedures Contribute to continuous improvement of processes, identifying opportunities to streamline workflows, enhance templates, and improve overall quality. To demonstrate a delivery-focused mindset that is able to meet deadlines and deliver high-quality work. Knowledge, Skills and Experience required: A strong understanding of technical concepts, principles, and terminology relevant to the Civil nuclear industry. Familiarity with the nuclear industry including the roles of key participants, regulatory framework and standards. Knowledge of reactor technologies including Small Modular Reactors, Gen IV reactors and advanced nuclear technologies. Knowledge of nuclear fuel types, fuel manufacturing facilities and the fuel cycle. Knowledge of Systems Engineering and Requirements. Ability to communicate complex technical information in a clear, accurate and accessible manner. Familiarity with technical documentation tools and software including the preparation of reports and presentations. Strong interpersonal and communication skills to collaborate effectively with engineers, scientists, senior management and government officials. Ability to transition flexibly between a range of tasks. Qualifications Bachelor's degree in a relevant Engineering or Science subject. Please complete our short application form to apply for this role. If shortlisted, one of our Talent Attraction Leads will be in touch to discuss the position in more detail. Good luck with your application! At GBE-N, we are committed to building an inclusive workplace where everyone can thrive. We value diversity and encourage applications from all backgrounds, including underrepresented groups. If you require any support or adjustments to help you with your application, please contact us at , and we will be happy to provide assistance.
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jul 05, 2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jul 05, 2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jul 05, 2026
Seasonal
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior Data Engineer (Contract) Duration: 6 Months (Possibility for extension) Location: London/Hybrid (3 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile We are seeking a highly skilled Senior Data Engineer with strong expertise in Python and Databricks to design, build, and optimise scalable data pipelines and platforms. You will play a key role in enabling data-driven decision-making by delivering reliable, efficient, and high-quality data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and Databricks Build and optimise ETL/ELT workflows leveraging Databricks (Spark, Delta Lake) Develop robust data models and data architectures on Lakehouse platforms Implement and manage data workflows within the Databricks ecosystem Ensure high data quality, governance, and reliability across pipelines Optimise performance of large-scale distributed data processing Collaborate with data scientists and analysts to support analytics and ML Implement monitoring, logging, and alerting for data systems Mentor junior engineers and drive engineering best practices Skills & Experience Extensive experience in data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark / PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS / Azure / GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience with streaming data pipelines (Kafka, Structured Streaming) Experience with CI/CD and DevOps practices Knowledge of Delta Lake features (time travel, CDC, optimisation) Experience with containerisation (Docker, Kubernetes) Exposure to ML pipelines on Databricks Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Jul 04, 2026
Contractor
Senior Data Engineer (Contract) Duration: 6 Months (Possibility for extension) Location: London/Hybrid (3 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile We are seeking a highly skilled Senior Data Engineer with strong expertise in Python and Databricks to design, build, and optimise scalable data pipelines and platforms. You will play a key role in enabling data-driven decision-making by delivering reliable, efficient, and high-quality data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and Databricks Build and optimise ETL/ELT workflows leveraging Databricks (Spark, Delta Lake) Develop robust data models and data architectures on Lakehouse platforms Implement and manage data workflows within the Databricks ecosystem Ensure high data quality, governance, and reliability across pipelines Optimise performance of large-scale distributed data processing Collaborate with data scientists and analysts to support analytics and ML Implement monitoring, logging, and alerting for data systems Mentor junior engineers and drive engineering best practices Skills & Experience Extensive experience in data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark / PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS / Azure / GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience with streaming data pipelines (Kafka, Structured Streaming) Experience with CI/CD and DevOps practices Knowledge of Delta Lake features (time travel, CDC, optimisation) Experience with containerisation (Docker, Kubernetes) Exposure to ML pipelines on Databricks Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. Client Details Leading international Manufacturing & Retail Company Description This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels. The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools. Key Responsibilities: Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements Develop and maintain dashboards, KPIs, and reporting suites using Power BI Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth Develop and maintain data pipelines and automated reporting processes where appropriate Present findings and recommendations clearly to senior leadership and operational stakeholders Support ongoing digital transformation initiatives across the business Ensure analytical work follows best practices around governance, security, and ethical AI usage Monitor and analyse eCommerce and marketplace KPIs including conversion rate, click-through rate (CTR), ACOS, TACOS, Buy Box performance, average selling price (ASP), keyword rankings, and inventory health metrics. Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting. Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance. Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels. Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making. Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements. Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight. Profile Essential: Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role Strong analytical and problem-solving skills with commercial awareness Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation. Strong experience using SQL for querying and manipulating datasets Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro Understanding of AI, machine learning, automation tools, and modern analytics techniques Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders Excellent communication and stakeholder management skills Highly organised with the ability to manage multiple priorities in a fast-paced environment Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms. Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking, and digital traffic analysis. Experience translating commercial and marketplace data into actionable business insight. Desirable: Experience within a consumer products, retail, licensing, apparel, manufacturing, or distribution environment Experience with forecasting, demand planning, or supply chain analytics Experience developing AI-enabled business solutions or workflow automation Understanding of financial reporting and commercial finance concepts Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline Experience with Amazon marketplace optimisation tools such as Helium 10. Experience using social listening and consumer insight platforms such as Meltwater. Experience within licensed apparel, consumer products, retail, eCommerce, or marketplace-driven businesses. Job Offer
Jul 04, 2026
Full time
This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. Client Details Leading international Manufacturing & Retail Company Description This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels. The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools. Key Responsibilities: Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements Develop and maintain dashboards, KPIs, and reporting suites using Power BI Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth Develop and maintain data pipelines and automated reporting processes where appropriate Present findings and recommendations clearly to senior leadership and operational stakeholders Support ongoing digital transformation initiatives across the business Ensure analytical work follows best practices around governance, security, and ethical AI usage Monitor and analyse eCommerce and marketplace KPIs including conversion rate, click-through rate (CTR), ACOS, TACOS, Buy Box performance, average selling price (ASP), keyword rankings, and inventory health metrics. Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting. Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance. Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels. Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making. Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements. Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight. Profile Essential: Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role Strong analytical and problem-solving skills with commercial awareness Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation. Strong experience using SQL for querying and manipulating datasets Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro Understanding of AI, machine learning, automation tools, and modern analytics techniques Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders Excellent communication and stakeholder management skills Highly organised with the ability to manage multiple priorities in a fast-paced environment Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms. Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking, and digital traffic analysis. Experience translating commercial and marketplace data into actionable business insight. Desirable: Experience within a consumer products, retail, licensing, apparel, manufacturing, or distribution environment Experience with forecasting, demand planning, or supply chain analytics Experience developing AI-enabled business solutions or workflow automation Understanding of financial reporting and commercial finance concepts Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline Experience with Amazon marketplace optimisation tools such as Helium 10. Experience using social listening and consumer insight platforms such as Meltwater. Experience within licensed apparel, consumer products, retail, eCommerce, or marketplace-driven businesses. Job Offer
