A leading fintech organization is seeking a highly capable Data Scientist to transform complex data into actionable insights that strengthen their fintech platforms. You will leverage analytics and machine learning to enhance decision-making across diverse datasets. Ideal candidates hold a degree in data science or related fields, with extensive experience in data analytics, machine learning, and proficiency in Python, R, and SQL. This position offers a hybrid working model and the opportunity to impact high-growth financial technology platforms.
Apr 24, 2026
Full time
A leading fintech organization is seeking a highly capable Data Scientist to transform complex data into actionable insights that strengthen their fintech platforms. You will leverage analytics and machine learning to enhance decision-making across diverse datasets. Ideal candidates hold a degree in data science or related fields, with extensive experience in data analytics, machine learning, and proficiency in Python, R, and SQL. This position offers a hybrid working model and the opportunity to impact high-growth financial technology platforms.
At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Pathogen Project Within this ecosystem, the Pathogen Mission exemplifies EIT's commitment to transformative science. It aims to revolutionise the diagnosis and treatment of infectious diseases by leveraging whole genome sequencing (WGS)-based metagenomic and pathogen specific analytical tools. This remit includes the development of a decentralised, sample to answer sequencing diagnostic platform for infectious diseases, enabling rapid and accurate analysis of patient samples without prior assumptions. Supported by Oracle Inc.'s cloud computing scale and security infrastructure, the Pathogen Mission is progressing towards certified diagnostic products for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role We are seeking a Scientist or Senior Scientist with a strong interest in method development to join our growing Applications team, focused on advancing sequencing based diagnostics. In this role, you will contribute to the design and optimisation of novel targeted and semi targeted approaches for the rapid sequencing of clinically relevant pathogens. This laboratory based position encompasses end to end experimental workflows, including sample preparation, target enrichment and amplification, library preparation, and sequencing. You will support the development of strategies for comprehensive, high sensitivity sequencing across a large number of targets, using approaches such as targeted amplification, hybridisation, and related techniques. The role encourages creative problem solving, with opportunities to propose, explore, and evaluate new ideas. You will work collaboratively within a multidisciplinary team of microbiologists, molecular biologists, engineers, and data scientists to develop assays for integration into an automated, device based platform. Drawing on your experience, you will help define experimental strategies, design and execute studies, and contribute to advancing the application of sequencing technologies in pathogen detection and related areas. Key Responsibilities Design, develop, and optimise end to end sequencing assays (targeted and semi targeted) Execute experiments, analyse and interpret data, and contribute ideas for improvement Troubleshoot complex technical challenges across a range of sample types Maintain clear documentation to support reproducibility of experimental work Collaborate closely with colleagues across disciplines to progress shared goals Contribute to scientific discussions and decision making as projects evolve Essential Knowledge, Skills, and Experience PhD in molecular biology, microbiology, genomics, biochemistry or a related field Experience using molecular biology techniques (e.g. PCR, RT PCR, nucleic acid extraction, library preparation) Experience developing and optimising PCRs and/or related experimental workflows Ability to troubleshoot experimental challenges and adapt methods as needed Experience with DNA/RNA sequencing data Strong experimental design and data interpretation skills Good organisation, record keeping and communication skills Desirable We recognise that strong candidates may not meet every criterion below. Experience in any of the following would be beneficial: Multiplex PCR assay development, particularly for sequencing applications Enrichment or capture methods for pathogens or pathogen derived nucleic acids Work with bacteria, fungi, viruses, or other pathogens Handling clinical samples RNA based workflows (e.g. transcriptomics, viral genomics) Background in virology Exposure to metagenomics workflows Biochemistry knowledge relevant to assay development (e.g. enzyme optimisation, reaction conditions, assay development) Key Attributes Scientific and Technical Enjoys exploring new ideas and approaches to experimental challenges Curious and motivated to solve complex problems Able to balance scientific rigour with speed and pragmatism Working Style and Collaboration Takes ownership of work while valuing collaboration and shared success Proactive and supportive team member, with a willingness to contribute beyond immediate responsibilities Comfortable working in a dynamic research environment, with support from colleagues Our Benefits Salary: Competitive + travel allowance + bonus Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Working Together - What It Involves You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case by case basis. For this role we would expect someone to be fully on site in Oxford You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Apr 24, 2026
Full time
At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Pathogen Project Within this ecosystem, the Pathogen Mission exemplifies EIT's commitment to transformative science. It aims to revolutionise the diagnosis and treatment of infectious diseases by leveraging whole genome sequencing (WGS)-based metagenomic and pathogen specific analytical tools. This remit includes the development of a decentralised, sample to answer sequencing diagnostic platform for infectious diseases, enabling rapid and accurate analysis of patient samples without prior assumptions. Supported by Oracle Inc.'s cloud computing scale and security infrastructure, the Pathogen Mission is progressing towards certified diagnostic products for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role We are seeking a Scientist or Senior Scientist with a strong interest in method development to join our growing Applications team, focused on advancing sequencing based diagnostics. In this role, you will contribute to the design and optimisation of novel targeted and semi targeted approaches for the rapid sequencing of clinically relevant pathogens. This laboratory based position encompasses end to end experimental workflows, including sample preparation, target enrichment and amplification, library preparation, and sequencing. You will support the development of strategies for comprehensive, high sensitivity sequencing across a large number of targets, using approaches such as targeted amplification, hybridisation, and related techniques. The role encourages creative problem solving, with opportunities to propose, explore, and evaluate new ideas. You will work collaboratively within a multidisciplinary team of microbiologists, molecular biologists, engineers, and data scientists to develop assays for integration into an automated, device based platform. Drawing on your experience, you will help define experimental strategies, design and execute studies, and contribute to advancing the application of sequencing technologies in pathogen detection and related areas. Key Responsibilities Design, develop, and optimise end to end sequencing assays (targeted and semi targeted) Execute experiments, analyse and interpret data, and contribute ideas for improvement Troubleshoot complex technical challenges across a range of sample types Maintain clear documentation to support reproducibility of experimental work Collaborate closely with colleagues across disciplines to progress shared goals Contribute to scientific discussions and decision making as projects evolve Essential Knowledge, Skills, and Experience PhD in molecular biology, microbiology, genomics, biochemistry or a related field Experience using molecular biology techniques (e.g. PCR, RT PCR, nucleic acid extraction, library preparation) Experience developing and optimising PCRs and/or related experimental workflows Ability to troubleshoot experimental challenges and adapt methods as needed Experience with DNA/RNA sequencing data Strong experimental design and data interpretation skills Good organisation, record keeping and communication skills Desirable We recognise that strong candidates may not meet every criterion below. Experience in any of the following would be beneficial: Multiplex PCR assay development, particularly for sequencing applications Enrichment or capture methods for pathogens or pathogen derived nucleic acids Work with bacteria, fungi, viruses, or other pathogens Handling clinical samples RNA based workflows (e.g. transcriptomics, viral genomics) Background in virology Exposure to metagenomics workflows Biochemistry knowledge relevant to assay development (e.g. enzyme optimisation, reaction conditions, assay development) Key Attributes Scientific and Technical Enjoys exploring new ideas and approaches to experimental challenges Curious and motivated to solve complex problems Able to balance scientific rigour with speed and pragmatism Working Style and Collaboration Takes ownership of work while valuing collaboration and shared success Proactive and supportive team member, with a willingness to contribute beyond immediate responsibilities Comfortable working in a dynamic research environment, with support from colleagues Our Benefits Salary: Competitive + travel allowance + bonus Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Working Together - What It Involves You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case by case basis. For this role we would expect someone to be fully on site in Oxford You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Overview At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Project exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detailed orientated (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing data Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organisation Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related quantitative field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands-on experience developing computational methods for next-generation sequencing data Significant experience with bioinformatics methods such as efficient search and storage of DNA sequences, genome assembly, genome annotation, pangenomes, phylogenetics, and comparative genomics Solid understanding of data structures, algorithms, and statistical methods (e.g. De Bruijn graphs, hashing, Burrows-Wheeler transform, Bayesian methods, mixed models, dimensionality reduction, embeddings) Experience with machine learning in the context of biological data, particularly sequencing data Proficient in the use of command-line interfaces, low and high-level programming languages (e.g. Python, C, C++, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long-read sequencing data (ONT) Experience with bioinformatics workflow management (e.g. Nextflow) and cloud computing (e.g. OCI, AWS, GCP) Contributions to open-source bioinformatics software Previous experience mentoring or line-managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail-oriented with a commitment to reproducibility and benchmarking Comfortable in a fast-paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains Our Benefits: Salary: Competitive + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves: You must have the permanent right to work in the UK and be willing to travel when required. Given the specialised nature of this role, we can consider sponsorship for candidates who meet the expectations outlined in the job description. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Apr 24, 2026
Full time
Overview At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Project exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detailed orientated (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing data Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organisation Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related quantitative field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands-on experience developing computational methods for next-generation sequencing data Significant experience with bioinformatics methods such as efficient search and storage of DNA sequences, genome assembly, genome annotation, pangenomes, phylogenetics, and comparative genomics Solid understanding of data structures, algorithms, and statistical methods (e.g. De Bruijn graphs, hashing, Burrows-Wheeler transform, Bayesian methods, mixed models, dimensionality reduction, embeddings) Experience with machine learning in the context of biological data, particularly sequencing data Proficient in the use of command-line interfaces, low and high-level programming languages (e.g. Python, C, C++, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long-read sequencing data (ONT) Experience with bioinformatics workflow management (e.g. Nextflow) and cloud computing (e.g. OCI, AWS, GCP) Contributions to open-source bioinformatics software Previous experience mentoring or line-managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail-oriented with a commitment to reproducibility and benchmarking Comfortable in a fast-paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains Our Benefits: Salary: Competitive + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves: You must have the permanent right to work in the UK and be willing to travel when required. Given the specialised nature of this role, we can consider sponsorship for candidates who meet the expectations outlined in the job description. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Our world-leading Time & Frequency department seeks an experienced and practicing Senior Scientist / Engineer. This is an exceptional opportunity to join the global authority in precision timing at a defining moment for UK digital infrastructure. Backed by a government investment of £180 million in the National Timing Centre (NTC) programme, we are developing a world first resilient time distribution capability that will provide industry with a robust complement to satellite systems (such as GPS) - which are increasingly vulnerable to disruption from solar storms, jamming and spoofing. This will underpin essential services, including Telecommunications Online banking Emergency response Transport networks Wider digital and data driven operations Together, these services form the backbone of modern society - and your leadership will help ensure they remain secure, reliable and robust even if global navigation satellite systems fail. You'll be joining a renowned team of Scientists and Engineers to develop novel Time and Frequency systems within the UK. Key Responsibilities Leading a team of Scientists and Engineers to deliver high quality project outputs on time, to quality and cost targets. Design and implementation of hardware / software for state of the art Time and Frequency measurement systems including atomic clocks. Collaborating with subject matter experts worldwide to develop novel solutions. Liaising with internal / external stakeholders to determine needs and tailor expert solutions. Attendance of international conferences to keep abreast of the latest developments. This role offers exciting scope to contribute toward other timing related projects (e.g. with the European Space Agency). Reporting to a Principal Scientist, you'll design UK Digital Infrastructure that pushes the boundaries of measurement accuracy for the UK's new resilient Time Scale. Essential Qualifications Experience in Time and Frequency measurement / Time scales. A postgraduate degree or equivalent experience in physics, astronomy or a relevant field of engineering; such as satellite navigation systems (GNSS), SATCOM, communications or systems engineering. Software experience in scientific / engineering application (e.g. Python, LabVIEW or MATLAB). Team management experience. Advantageous Qualifications Postgraduate experience in software development (e.g. Python, LabVIEW or MATLAB). Professional experience within an R&D or engineering environment. Familiarity with using and interfacing electronic equipment with computers, and an interest in lab work. Knowledge and experience of SATCOM, optical fibre, and GNSS based systems. Experience in atmospheric propagation of radio / microwave signals or Space Science systems. We actively recruit citizens of all backgrounds. However, the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. To work at NPL, you will need to obtain BPSS security clearance. However, to work in this role in the Time & Frequency department, you must have an SC clearance with no restrictions, or you must have the ability to obtain an SC clearance.
Apr 24, 2026
Full time
Our world-leading Time & Frequency department seeks an experienced and practicing Senior Scientist / Engineer. This is an exceptional opportunity to join the global authority in precision timing at a defining moment for UK digital infrastructure. Backed by a government investment of £180 million in the National Timing Centre (NTC) programme, we are developing a world first resilient time distribution capability that will provide industry with a robust complement to satellite systems (such as GPS) - which are increasingly vulnerable to disruption from solar storms, jamming and spoofing. This will underpin essential services, including Telecommunications Online banking Emergency response Transport networks Wider digital and data driven operations Together, these services form the backbone of modern society - and your leadership will help ensure they remain secure, reliable and robust even if global navigation satellite systems fail. You'll be joining a renowned team of Scientists and Engineers to develop novel Time and Frequency systems within the UK. Key Responsibilities Leading a team of Scientists and Engineers to deliver high quality project outputs on time, to quality and cost targets. Design and implementation of hardware / software for state of the art Time and Frequency measurement systems including atomic clocks. Collaborating with subject matter experts worldwide to develop novel solutions. Liaising with internal / external stakeholders to determine needs and tailor expert solutions. Attendance of international conferences to keep abreast of the latest developments. This role offers exciting scope to contribute toward other timing related projects (e.g. with the European Space Agency). Reporting to a Principal Scientist, you'll design UK Digital Infrastructure that pushes the boundaries of measurement accuracy for the UK's new resilient Time Scale. Essential Qualifications Experience in Time and Frequency measurement / Time scales. A postgraduate degree or equivalent experience in physics, astronomy or a relevant field of engineering; such as satellite navigation systems (GNSS), SATCOM, communications or systems engineering. Software experience in scientific / engineering application (e.g. Python, LabVIEW or MATLAB). Team management experience. Advantageous Qualifications Postgraduate experience in software development (e.g. Python, LabVIEW or MATLAB). Professional experience within an R&D or engineering environment. Familiarity with using and interfacing electronic equipment with computers, and an interest in lab work. Knowledge and experience of SATCOM, optical fibre, and GNSS based systems. Experience in atmospheric propagation of radio / microwave signals or Space Science systems. We actively recruit citizens of all backgrounds. However, the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. To work at NPL, you will need to obtain BPSS security clearance. However, to work in this role in the Time & Frequency department, you must have an SC clearance with no restrictions, or you must have the ability to obtain an SC clearance.
Overview The Head of Data Science & AI spearheads Janus Henderson's data driven initiatives, leading the development and execution of a strategy that harnesses data and artificial intelligence across the organization. The role oversees advanced analytics, AI model development, and AI/ML governance, ensuring that AI is applied ethically and effectively to enhance investment research, client experience, and operations while maintaining the firm's standards of accuracy, transparency, and trust. Key Responsibilities AI Strategy: Define and lead a comprehensive AI strategy aligned with business objectives, continuously refining it based on emerging technologies and evolving needs. Model Development & AI Innovation: Lead a team of data scientists and AI engineers to develop predictive models and AI solutions, guiding the model lifecycle from proof of concept to production and ensuring ongoing value and maintenance. AI Governance & Ethics: Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Enablement & Collaboration: Act as a bridge between the Data Science team and other business units, fostering integration of AI solutions into processes and working closely with technology leaders. Emerging Technology & Thought Leadership: Monitor industry trends, evaluate new AI techniques, pilot innovations, and advocate for investments that deliver competitive advantage and risk reduction. Required Qualifications Education: Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field. Experience: 10+ years in data science, analytics, or related technology roles, with a minimum of 5 years in leadership or managerial capacity. Experience in financial services, asset management, or capital markets is highly desirable. Technical Proficiency: Deep expertise in machine learning techniques, statistical modeling, and large dataset analytics; proven track record of model development and deployment. Industry Knowledge: Solid understanding of asset management products, portfolio management, performance analytics, and client servicing; awareness of how AI is applied in investment management. Leadership & Communication: Demonstrated ability to lead multidisciplinary teams, manage complex projects, and convey analytical insights to senior executives. Preferred Experience Direct experience in an asset management analytics or quantitative research team. Established AI/ML governance processes, including model review committees and monitoring frameworks. Familiarity with advanced analytics ecosystems in finance (e.g., quantitative libraries, time series databases, visualization tools). Published research, patents, or conference presentations in AI or data science related to finance. Technical Skills Programming: Python (pandas, scikit learn, TensorFlow/PyTorch), R, SQL, notebooks, Git. Machine Learning: regression, classification, clustering, tree based models, neural networks; MLOps, model deployment, automated testing. Data Platforms: relational databases, NoSQL, time series, big data frameworks, cloud data services (AWS, Azure, GCP). Analytics & BI: Tableau, Power BI, Python/R visualization, statistical analysis tools. AI Ethics & Security: bias detection, explainability (LIME, SHAP), data anonymization, encryption. Soft Skills & Leadership Competencies Strategic Vision & Innovation Ethical Leadership & Responsible AI advocacy Storytelling & Communication for non technical audiences Collaboration & Influence across organizational boundaries Mentorship & Talent Development Problem Solving & Resilience Benefits and Working Conditions Hybrid working environment with reasonable accommodations Generous holiday policy Paid volunteer time Professional development support (courses, tuition reimbursement) Inclusive diversity, equity, and inclusion initiatives Family leave benefits Well being initiatives (Headspace, ClassPass) Employee events and wellness perks (complimentary beverages, happy hours) Janus Henderson is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Applicants must comply with the firm's Investment Advisory Code of Ethics and any relevant regulatory obligations.
Apr 24, 2026
Full time
Overview The Head of Data Science & AI spearheads Janus Henderson's data driven initiatives, leading the development and execution of a strategy that harnesses data and artificial intelligence across the organization. The role oversees advanced analytics, AI model development, and AI/ML governance, ensuring that AI is applied ethically and effectively to enhance investment research, client experience, and operations while maintaining the firm's standards of accuracy, transparency, and trust. Key Responsibilities AI Strategy: Define and lead a comprehensive AI strategy aligned with business objectives, continuously refining it based on emerging technologies and evolving needs. Model Development & AI Innovation: Lead a team of data scientists and AI engineers to develop predictive models and AI solutions, guiding the model lifecycle from proof of concept to production and ensuring ongoing value and maintenance. AI Governance & Ethics: Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Enablement & Collaboration: Act as a bridge between the Data Science team and other business units, fostering integration of AI solutions into processes and working closely with technology leaders. Emerging Technology & Thought Leadership: Monitor industry trends, evaluate new AI techniques, pilot innovations, and advocate for investments that deliver competitive advantage and risk reduction. Required Qualifications Education: Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field. Experience: 10+ years in data science, analytics, or related technology roles, with a minimum of 5 years in leadership or managerial capacity. Experience in financial services, asset management, or capital markets is highly desirable. Technical Proficiency: Deep expertise in machine learning techniques, statistical modeling, and large dataset analytics; proven track record of model development and deployment. Industry Knowledge: Solid understanding of asset management products, portfolio management, performance analytics, and client servicing; awareness of how AI is applied in investment management. Leadership & Communication: Demonstrated ability to lead multidisciplinary teams, manage complex projects, and convey analytical insights to senior executives. Preferred Experience Direct experience in an asset management analytics or quantitative research team. Established AI/ML governance processes, including model review committees and monitoring frameworks. Familiarity with advanced analytics ecosystems in finance (e.g., quantitative libraries, time series databases, visualization tools). Published research, patents, or conference presentations in AI or data science related to finance. Technical Skills Programming: Python (pandas, scikit learn, TensorFlow/PyTorch), R, SQL, notebooks, Git. Machine Learning: regression, classification, clustering, tree based models, neural networks; MLOps, model deployment, automated testing. Data Platforms: relational databases, NoSQL, time series, big data frameworks, cloud data services (AWS, Azure, GCP). Analytics & BI: Tableau, Power BI, Python/R visualization, statistical analysis tools. AI Ethics & Security: bias detection, explainability (LIME, SHAP), data anonymization, encryption. Soft Skills & Leadership Competencies Strategic Vision & Innovation Ethical Leadership & Responsible AI advocacy Storytelling & Communication for non technical audiences Collaboration & Influence across organizational boundaries Mentorship & Talent Development Problem Solving & Resilience Benefits and Working Conditions Hybrid working environment with reasonable accommodations Generous holiday policy Paid volunteer time Professional development support (courses, tuition reimbursement) Inclusive diversity, equity, and inclusion initiatives Family leave benefits Well being initiatives (Headspace, ClassPass) Employee events and wellness perks (complimentary beverages, happy hours) Janus Henderson is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Applicants must comply with the firm's Investment Advisory Code of Ethics and any relevant regulatory obligations.
What is Sylvera anyway? Sylvera helps organisations make confident decisions in carbon and commodity markets. We independently assess the quality of carbon projects, track market pricing and supply signals, and provide geospatial and carbon intensity data - giving our clients the clarity they need to invest in real climate action. We're a team of 130+ scientists, engineers, and market experts based across London, New York, São Paulo, Singapore, and Tokyo. Our work spans market intelligence, geospatial analytics, multi-scale lidar research, and policy analysis. We partner with governments and policymakers to raise the bar for transparency and rigour across carbon markets. Backed by over $96 million from investors including Fidelity, Balderton Capital, Index Ventures, and Insight Partners, we're trusted by Fortune 500 companies, major financial institutions, and governments worldwide. If you care about climate, enjoy solving hard problems, and want to work with people who take the mission seriously - we'd love to hear from you. What will I be doing? We're looking for a mission driven Customer Success Manager to help own and grow our book of business for the EMEA region. We operate in an extremely dynamic environment that requires mental agility and a genuine eagerness to build and manage key commercial relationships. This is an individual contributor position responsible for customer retention and commercial outcomes, with real scope to grow as the business scales. Specific responsibilities will include: Working hand in hand with other members of the commercial team to build trusted, long term ties with key accounts from day 1. Supporting and owning relationships with assigned accounts, playing an integral role in client engagement across the full customer lifecycle, from onboarding through to renewal conversations. Acting as a product ambassador, driving adoption and regular usage of Sylvera's evolving products and services across your account base. Advising customers on our product suite and identifying opportunities to expand our footprint by promoting new products and services. Tracking and delivering value to customers, working towards healthy renewals and strong commercial outcomes. We're looking for someone who: Has 3-7 years of experience in a commercial, advisory, or client facing role - this could be in Customer Success, Account Management, or Consulting/Advisory Has experience working in EMEA markets, with exposure to enterprise or institutional clients Has deep knowledge of or a strong passion for carbon markets - domain expertise is a significant advantage Cares deeply about the climate and ecosystems of the earth Is fully fluent in English; additional European language skills are a plus Is a self starter who enjoys learning and thrives in constantly evolving environments; early stage startup experience is a bonus but not required Is comfortable engaging with senior stakeholders and building credibility quickly Is open to occasional business travel in the region We'd like someone highly ambitious, motivated and eager to propel their career forward. We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Please note that we cannot sponsor a visa. Benefits Equity in a rapidly growing startup Unlimited annual leave - and encouragement to actually use it! 4 weeks/year work from anywhere Enhanced parental leave Up to 20 days paid sick leave Office bar tab once a month Weekly drinks in the office Catered lunch once a month in office Monthly Deliveroo allowance once a month Location London. We work flexibly but encourage people to come to the office regularly, especially for 1 2 1, retros and divisional meetings. Our Values Own it: We make new mistakes. We build on the momentum of our wins and reflect on and learn from our failures. Stay curious: We take a growth mindset to our work, our customers, our market and the opportunities ahead of us. Do what's right - even when it's hard: We keep our focus on the long term, even if that means short term challenges. Collaborate and challenge with empathy: Our teams deliver through active collaboration. We invest in each others' success and make the company stronger in the long run. Empower Customers: Make extraordinary efforts to exceed our customer expectations. If we're serving our customers to the fullest, we can help direct more investment into real climate impact. What if you're a partial fit? We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Equal employment opportunity Sylvera is an equal opportunity employer: we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. AI note takers We sometimes use AI note takers to help us transcribe interview notes, so we can be more present in your interview. If you'd like to opt out of us using automatic transcribers, please note this in the free text field in your application, otherwise we'll take your application as confirmation that you're happy for us to use note takers (whether added to video calls or in the background).
Apr 24, 2026
Full time
What is Sylvera anyway? Sylvera helps organisations make confident decisions in carbon and commodity markets. We independently assess the quality of carbon projects, track market pricing and supply signals, and provide geospatial and carbon intensity data - giving our clients the clarity they need to invest in real climate action. We're a team of 130+ scientists, engineers, and market experts based across London, New York, São Paulo, Singapore, and Tokyo. Our work spans market intelligence, geospatial analytics, multi-scale lidar research, and policy analysis. We partner with governments and policymakers to raise the bar for transparency and rigour across carbon markets. Backed by over $96 million from investors including Fidelity, Balderton Capital, Index Ventures, and Insight Partners, we're trusted by Fortune 500 companies, major financial institutions, and governments worldwide. If you care about climate, enjoy solving hard problems, and want to work with people who take the mission seriously - we'd love to hear from you. What will I be doing? We're looking for a mission driven Customer Success Manager to help own and grow our book of business for the EMEA region. We operate in an extremely dynamic environment that requires mental agility and a genuine eagerness to build and manage key commercial relationships. This is an individual contributor position responsible for customer retention and commercial outcomes, with real scope to grow as the business scales. Specific responsibilities will include: Working hand in hand with other members of the commercial team to build trusted, long term ties with key accounts from day 1. Supporting and owning relationships with assigned accounts, playing an integral role in client engagement across the full customer lifecycle, from onboarding through to renewal conversations. Acting as a product ambassador, driving adoption and regular usage of Sylvera's evolving products and services across your account base. Advising customers on our product suite and identifying opportunities to expand our footprint by promoting new products and services. Tracking and delivering value to customers, working towards healthy renewals and strong commercial outcomes. We're looking for someone who: Has 3-7 years of experience in a commercial, advisory, or client facing role - this could be in Customer Success, Account Management, or Consulting/Advisory Has experience working in EMEA markets, with exposure to enterprise or institutional clients Has deep knowledge of or a strong passion for carbon markets - domain expertise is a significant advantage Cares deeply about the climate and ecosystems of the earth Is fully fluent in English; additional European language skills are a plus Is a self starter who enjoys learning and thrives in constantly evolving environments; early stage startup experience is a bonus but not required Is comfortable engaging with senior stakeholders and building credibility quickly Is open to occasional business travel in the region We'd like someone highly ambitious, motivated and eager to propel their career forward. We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Please note that we cannot sponsor a visa. Benefits Equity in a rapidly growing startup Unlimited annual leave - and encouragement to actually use it! 4 weeks/year work from anywhere Enhanced parental leave Up to 20 days paid sick leave Office bar tab once a month Weekly drinks in the office Catered lunch once a month in office Monthly Deliveroo allowance once a month Location London. We work flexibly but encourage people to come to the office regularly, especially for 1 2 1, retros and divisional meetings. Our Values Own it: We make new mistakes. We build on the momentum of our wins and reflect on and learn from our failures. Stay curious: We take a growth mindset to our work, our customers, our market and the opportunities ahead of us. Do what's right - even when it's hard: We keep our focus on the long term, even if that means short term challenges. Collaborate and challenge with empathy: Our teams deliver through active collaboration. We invest in each others' success and make the company stronger in the long run. Empower Customers: Make extraordinary efforts to exceed our customer expectations. If we're serving our customers to the fullest, we can help direct more investment into real climate impact. What if you're a partial fit? We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Equal employment opportunity Sylvera is an equal opportunity employer: we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 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Head of Data Engineering is required by this global organisation to drive the evolution of their enterprise-wide data capability, encompassing strategy and architecture, to foster a data-first approach across the business as they modernise their offerings. You will be required to lead on the development and delivery of the organisation's data strategy, ensuring data becomes a trusted, accessible and strategic asset. You will shape the data roadmap, champion data governance, and embed a data-driven culture across all levels of the enterprise. Managing a team of data architects, you will build and lead the data architecture function, whilst supporting the growth of people across the data function, namely engineers, analysts, data scientists, across disparate locations. Working across all areas of the business, you will also chair the Data Council, so a background in a similar level role will be expected. Key responsibilities include - defining data policies overseeing architectural governance producing high-quality technical insight influencing investment decisions that advance organisational data maturity. deep expertise in data architecture, governance and modern data technologies Strong stakeholder management, communication skills and experience developing high-performing teams are essential. Knowledge of cloud data platforms, enterprise data systems and frameworks such as SFIA is highly advantageous. This is a rare opportunity to shape data strategy at scale and play a pivotal role in transforming how a global organisation uses data to drive future success. Please contact me for a full spec and detailed conversation about the opportunity - please note that this role requires a minimum of two days per week in the office, only apply if this is something you're comfortable with.
Apr 24, 2026
Full time
Head of Data Engineering is required by this global organisation to drive the evolution of their enterprise-wide data capability, encompassing strategy and architecture, to foster a data-first approach across the business as they modernise their offerings. You will be required to lead on the development and delivery of the organisation's data strategy, ensuring data becomes a trusted, accessible and strategic asset. You will shape the data roadmap, champion data governance, and embed a data-driven culture across all levels of the enterprise. Managing a team of data architects, you will build and lead the data architecture function, whilst supporting the growth of people across the data function, namely engineers, analysts, data scientists, across disparate locations. Working across all areas of the business, you will also chair the Data Council, so a background in a similar level role will be expected. Key responsibilities include - defining data policies overseeing architectural governance producing high-quality technical insight influencing investment decisions that advance organisational data maturity. deep expertise in data architecture, governance and modern data technologies Strong stakeholder management, communication skills and experience developing high-performing teams are essential. Knowledge of cloud data platforms, enterprise data systems and frameworks such as SFIA is highly advantageous. This is a rare opportunity to shape data strategy at scale and play a pivotal role in transforming how a global organisation uses data to drive future success. Please contact me for a full spec and detailed conversation about the opportunity - please note that this role requires a minimum of two days per week in the office, only apply if this is something you're comfortable with.
Team Leader, Pilot Plant Support and Analytical Equipment Validation We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practices; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work. You will lead a team of analytical scientists and analytical equipment validation specialists to deliver validated analytical equipment and high-quality analytical data to support discovery and development across multiple projects. You will work closely with cross functional colleagues to develop and implement analytical strategies. We value clear thinkers who coach others, solve practical problems, and drive continuous improvement. This role offers growth, meaning, and the chance to apply science and technology to help get ahead of disease together. Responsibilities Lead and supervise a team of analytical scientists and specialists, ensuring effective team performance, development to build capability / resilience and succession planning. Approve analytical test results for release or rejection of products, excipients, packaging components and purified water, ensuring compliance with GMP, corporate policies and standards to ensure patient safety, product quality and data integrity. Where appropriate prepare, review, and approve regulatory modules to support drug progression into clinical trials and global markets. Provide technical leadership in developing, validating, and transferring analytical methods for comparator testing, release testing, and cleaning verification. Ensure computerized laboratory analytical equipment and systems used to support regulatory submissions to develop, test or manufacture materials within DDS, are qualified or validated as appropriate and maintained in an appropriately validated state in accordance with the relevant regulations, corporate policies and standards to ensure patient safety, product quality and data integrity. Establish and maintain partnerships with clinical manufacturing, product development teams, and external collaborators for efficient service delivery. Able to apply digital tools to drive continuous improvement and deliver simplified, efficient business processes. Basic Qualifications & Skills Degree in chemistry, analytical chemistry, pharmaceutical sciences or a related discipline, or equivalent practical experience. Demonstrated experience leading or supervising analytical scientists or analytical equipment specialists in an R&D or industrial laboratory environment. Strong hands on experience in chromatographic and dissolution techniques. Experience in analytical method development, qualification and validation for release and stability testing. Proven ability to work in a matrix environment and collaborate with cross functional teams. Clear written and verbal communication skills and experience preparing technical reports and regulatory documentation. Preferred Qualifications & Skills Advanced degree (MSc or PhD) in a relevant discipline or equivalent experience. Experience with method transfer to manufacturing sites or external partners. Knowledge of regulatory frameworks and expectations for analytical data (e.g., ICH guidelines, ISO standards). Experience with emerging analytical technologies, automation and application of digital tools. Background in small molecule analytical development. Track record of mentoring scientists and building team capability. Closing Date for Applications - 26th April 2026 GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. If you require adjustments to our process to demonstrate your strengths and capabilities, contact .
Apr 24, 2026
Full time
Team Leader, Pilot Plant Support and Analytical Equipment Validation We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practices; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work. You will lead a team of analytical scientists and analytical equipment validation specialists to deliver validated analytical equipment and high-quality analytical data to support discovery and development across multiple projects. You will work closely with cross functional colleagues to develop and implement analytical strategies. We value clear thinkers who coach others, solve practical problems, and drive continuous improvement. This role offers growth, meaning, and the chance to apply science and technology to help get ahead of disease together. Responsibilities Lead and supervise a team of analytical scientists and specialists, ensuring effective team performance, development to build capability / resilience and succession planning. Approve analytical test results for release or rejection of products, excipients, packaging components and purified water, ensuring compliance with GMP, corporate policies and standards to ensure patient safety, product quality and data integrity. Where appropriate prepare, review, and approve regulatory modules to support drug progression into clinical trials and global markets. Provide technical leadership in developing, validating, and transferring analytical methods for comparator testing, release testing, and cleaning verification. Ensure computerized laboratory analytical equipment and systems used to support regulatory submissions to develop, test or manufacture materials within DDS, are qualified or validated as appropriate and maintained in an appropriately validated state in accordance with the relevant regulations, corporate policies and standards to ensure patient safety, product quality and data integrity. Establish and maintain partnerships with clinical manufacturing, product development teams, and external collaborators for efficient service delivery. Able to apply digital tools to drive continuous improvement and deliver simplified, efficient business processes. Basic Qualifications & Skills Degree in chemistry, analytical chemistry, pharmaceutical sciences or a related discipline, or equivalent practical experience. Demonstrated experience leading or supervising analytical scientists or analytical equipment specialists in an R&D or industrial laboratory environment. Strong hands on experience in chromatographic and dissolution techniques. Experience in analytical method development, qualification and validation for release and stability testing. Proven ability to work in a matrix environment and collaborate with cross functional teams. Clear written and verbal communication skills and experience preparing technical reports and regulatory documentation. Preferred Qualifications & Skills Advanced degree (MSc or PhD) in a relevant discipline or equivalent experience. Experience with method transfer to manufacturing sites or external partners. Knowledge of regulatory frameworks and expectations for analytical data (e.g., ICH guidelines, ISO standards). Experience with emerging analytical technologies, automation and application of digital tools. Background in small molecule analytical development. Track record of mentoring scientists and building team capability. Closing Date for Applications - 26th April 2026 GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. If you require adjustments to our process to demonstrate your strengths and capabilities, contact .
We re currently partnering with a forward-thinking, technology-driven organisation that has recently secured significant investment and is now looking to expand its data capability with the addition of a talented Data Engineer / Data Scientist. This is an excellent opportunity for either an experienced mid-level" Data Engineer with a few years under their belt, looking to step up into a more hands-on, impactful role. With elements of Data Science in the role too, you may be a Data Scientist, looking for a more hands on Data wrangling / production coding environment opportunity, or vice-versa. You ll be instrumental in shaping how the business uses data - moving from manual, ad-hoc processes to scalable, production-ready solutions. The Role: You ll work at the heart of a growing data function, building robust pipelines and enabling advanced analytics within a modern Azure-based environment. This is a highly technical, hands-on role with real ownership and visibility across the business. Benefits include: - 25 days annual leave, Birthday off, Life assurance, Health & Dental plans, pension scheme & more! - £55K Basic Salary + Bonus Key responsibilities include: - Developing and maintaining scalable data pipelines using Python - Automating manual Excel/VBA workflows into reliable, production-grade systems - Working with large datasets using Spark and Azure (Databricks/Synapse) - Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work) - Driving best practices including Git, CI/CD, and code reviews - Collaborating with stakeholders to deliver actionable data solutions What they re looking for: - Strong Python and SQL skills - Experience or exposure to Spark, big data tools, or cloud platforms (ideally Azure) What s on offer: - The chance to join a business at an exciting stage of growth following recent investment - A collaborative and supportive team environment - Clear opportunities for development and progression - Hybrid working - Our HQ is in the South West (Exeter area!) but we have a lot of flexibility to consider remote work. 1-2 days per month in the office maybe? We can talk about this. If you re looking to make a real impact in a growing organisation and build modern, scalable data solutions, we d love to hear from you!
Apr 24, 2026
Full time
We re currently partnering with a forward-thinking, technology-driven organisation that has recently secured significant investment and is now looking to expand its data capability with the addition of a talented Data Engineer / Data Scientist. This is an excellent opportunity for either an experienced mid-level" Data Engineer with a few years under their belt, looking to step up into a more hands-on, impactful role. With elements of Data Science in the role too, you may be a Data Scientist, looking for a more hands on Data wrangling / production coding environment opportunity, or vice-versa. You ll be instrumental in shaping how the business uses data - moving from manual, ad-hoc processes to scalable, production-ready solutions. The Role: You ll work at the heart of a growing data function, building robust pipelines and enabling advanced analytics within a modern Azure-based environment. This is a highly technical, hands-on role with real ownership and visibility across the business. Benefits include: - 25 days annual leave, Birthday off, Life assurance, Health & Dental plans, pension scheme & more! - £55K Basic Salary + Bonus Key responsibilities include: - Developing and maintaining scalable data pipelines using Python - Automating manual Excel/VBA workflows into reliable, production-grade systems - Working with large datasets using Spark and Azure (Databricks/Synapse) - Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work) - Driving best practices including Git, CI/CD, and code reviews - Collaborating with stakeholders to deliver actionable data solutions What they re looking for: - Strong Python and SQL skills - Experience or exposure to Spark, big data tools, or cloud platforms (ideally Azure) What s on offer: - The chance to join a business at an exciting stage of growth following recent investment - A collaborative and supportive team environment - Clear opportunities for development and progression - Hybrid working - Our HQ is in the South West (Exeter area!) but we have a lot of flexibility to consider remote work. 1-2 days per month in the office maybe? We can talk about this. If you re looking to make a real impact in a growing organisation and build modern, scalable data solutions, we d love to hear from you!
Content/Conversational Designer: Agentic experience Design Location: London Contract Length: 6 months Working Pattern: Hybrid - 2 days per week in the office. Via Umbrella company Are you ready to take your content design skills to the next level? Our client, a leading player in the banking industry, is seeking a passionate and innovative Content Designer to join their team for a 6-month temporary contract. This is your chance to shape customer-first experiences in the exciting realm of Conversational Banking! What You'll Do: As an agentic Content Designer, you will: Collaborate with a dynamic cross-functional team to create engaging, safe, and compliant customer experiences. Leverage your content design expertise to understand customer needs and craft AI-powered content that is structured, accurate, and machine-usable. Develop content approaches for emerging AI patterns, ensuring clear communication and usability. Partner with data scientists and engineers to define and evolve a knowledge graph that models relationships across products and systems. Conduct content audits and refine content strategies to ensure readiness for AI systems. Prototype, test, and iterate to continuously improve the quality of customer interactions. What You Bring: Content Design Expertise: Strong UX writing skills and the ability to simplify complex information. Design Thinking: Proficiency in problem framing, ideation, and testing. Systems Mindset: Ability to design content across entire journeys and ecosystems, not just individual screens. Collaboration Skills: Comfort in partnering with various stakeholders, including product, engineering, and legal teams. AI Awareness: Familiarity with generative AI and conversational design principles is a plus. Structured Content Knowledge: Experience with content models, taxonomies, and metadata. Data-Driven Mindset: Ability to work effectively with data teams on content pipelines and quality checks. Quality and Risk Awareness: Understanding the importance of accuracy and compliance in regulated environments. What We Offer: Flexible Working Arrangements: Enjoy a hybrid working model, with the option to work from home and collaborate in the office two days a week. Professional Development: Opportunities for growth and support to optimize your potential. Inclusive Culture: Join a team that values diversity and encourages everyone to contribute their unique perspectives. If you're a go-getter ready to embrace the exciting world of agentic design in banking, we want to hear from you! This is your opportunity to make a real impact and drive innovation in customer experiences. 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. 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. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Apr 24, 2026
Contractor
Content/Conversational Designer: Agentic experience Design Location: London Contract Length: 6 months Working Pattern: Hybrid - 2 days per week in the office. Via Umbrella company Are you ready to take your content design skills to the next level? Our client, a leading player in the banking industry, is seeking a passionate and innovative Content Designer to join their team for a 6-month temporary contract. This is your chance to shape customer-first experiences in the exciting realm of Conversational Banking! What You'll Do: As an agentic Content Designer, you will: Collaborate with a dynamic cross-functional team to create engaging, safe, and compliant customer experiences. Leverage your content design expertise to understand customer needs and craft AI-powered content that is structured, accurate, and machine-usable. Develop content approaches for emerging AI patterns, ensuring clear communication and usability. Partner with data scientists and engineers to define and evolve a knowledge graph that models relationships across products and systems. Conduct content audits and refine content strategies to ensure readiness for AI systems. Prototype, test, and iterate to continuously improve the quality of customer interactions. What You Bring: Content Design Expertise: Strong UX writing skills and the ability to simplify complex information. Design Thinking: Proficiency in problem framing, ideation, and testing. Systems Mindset: Ability to design content across entire journeys and ecosystems, not just individual screens. Collaboration Skills: Comfort in partnering with various stakeholders, including product, engineering, and legal teams. AI Awareness: Familiarity with generative AI and conversational design principles is a plus. Structured Content Knowledge: Experience with content models, taxonomies, and metadata. Data-Driven Mindset: Ability to work effectively with data teams on content pipelines and quality checks. Quality and Risk Awareness: Understanding the importance of accuracy and compliance in regulated environments. What We Offer: Flexible Working Arrangements: Enjoy a hybrid working model, with the option to work from home and collaborate in the office two days a week. Professional Development: Opportunities for growth and support to optimize your potential. Inclusive Culture: Join a team that values diversity and encourages everyone to contribute their unique perspectives. If you're a go-getter ready to embrace the exciting world of agentic design in banking, we want to hear from you! This is your opportunity to make a real impact and drive innovation in customer experiences. 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. 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. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Principal Scientist, Biophysics We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in office work. Discover more about our company wide benefits and life at GSK. Large Molecule Research drives the discovery and development of innovative biopharmaceutical medicines, advancing a diverse portfolio from early antibody discovery through to molecular engineering and comprehensive biological and physicochemical characterisation. We are seeking an experienced and motivated Principal Scientist in Biophysics to join our dynamic research team. The successful candidate will play a pivotal role in developing and applying advanced biophysical techniques to support drug discovery and development projects. This is a key hire for those with a proven track record in label free interaction analysis of protein protein interactions and deconvolution of complex data in support of mode of action studies, data interpretation, and innovative problem solving within the biopharmaceutical sector. In this role you will Design, plan, and execute experiments using biophysical techniques such as Surface Plasmon Resonance (SPR), Biolayer Interferometry (BLI), size exclusion chromatography (SEC), hydrophobic interaction chromatography (HIC) and differential scanning fluorimetry (DSF) throughout the large molecule discovery process Analyse, interpret, and report complex biophysical data, ensuring high standards of scientific rigour and reproducibility. Lead work to develop and optimise experimental protocols to improve throughput and data quality. Drive data handling strategies, including effective storage, management, and reuse to maximise research impact and compliance with data integrity standards. Collaborate cross functionally with colleagues in protein engineering, discovery biology, and informatics to deliver integrated project solutions. Present findings to internal teams and external stakeholders; contribute to scientific publications and conferences as appropriate. Mentor junior scientists and contribute to the continuous improvement of laboratory best practices. Basic Qualifications & Skills PhD (or equivalent experience) in Biophysics, Biochemistry, or a related discipline. Significant hands on demonstratable expertise with SPR or similar technologies (e.g., Biacore, Octet, Carterra), and epitope binning technologies for characterisation of protein protein and/or protein antibody interactions. Experience working with high throughput screening and automation platforms in a fast paced environment in an industry or a relevant research environment. Demonstrated ability to analyse, interpret, and visualise complex datasets; proficiency in data management and reuse strategies. Strong understanding of molecular interaction theory and its application to drug discovery. Demonstrated experience leading matrix teams. Preferred Qualifications & Skills Project leadership experience. Familiarity with AI/ML tools for data analysis. Track record of scientific publications or patent filings. Closing Date for Applications - 19th April 2026 (COB) GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Apr 24, 2026
Full time
Principal Scientist, Biophysics We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in office work. Discover more about our company wide benefits and life at GSK. Large Molecule Research drives the discovery and development of innovative biopharmaceutical medicines, advancing a diverse portfolio from early antibody discovery through to molecular engineering and comprehensive biological and physicochemical characterisation. We are seeking an experienced and motivated Principal Scientist in Biophysics to join our dynamic research team. The successful candidate will play a pivotal role in developing and applying advanced biophysical techniques to support drug discovery and development projects. This is a key hire for those with a proven track record in label free interaction analysis of protein protein interactions and deconvolution of complex data in support of mode of action studies, data interpretation, and innovative problem solving within the biopharmaceutical sector. In this role you will Design, plan, and execute experiments using biophysical techniques such as Surface Plasmon Resonance (SPR), Biolayer Interferometry (BLI), size exclusion chromatography (SEC), hydrophobic interaction chromatography (HIC) and differential scanning fluorimetry (DSF) throughout the large molecule discovery process Analyse, interpret, and report complex biophysical data, ensuring high standards of scientific rigour and reproducibility. Lead work to develop and optimise experimental protocols to improve throughput and data quality. Drive data handling strategies, including effective storage, management, and reuse to maximise research impact and compliance with data integrity standards. Collaborate cross functionally with colleagues in protein engineering, discovery biology, and informatics to deliver integrated project solutions. Present findings to internal teams and external stakeholders; contribute to scientific publications and conferences as appropriate. Mentor junior scientists and contribute to the continuous improvement of laboratory best practices. Basic Qualifications & Skills PhD (or equivalent experience) in Biophysics, Biochemistry, or a related discipline. Significant hands on demonstratable expertise with SPR or similar technologies (e.g., Biacore, Octet, Carterra), and epitope binning technologies for characterisation of protein protein and/or protein antibody interactions. Experience working with high throughput screening and automation platforms in a fast paced environment in an industry or a relevant research environment. Demonstrated ability to analyse, interpret, and visualise complex datasets; proficiency in data management and reuse strategies. Strong understanding of molecular interaction theory and its application to drug discovery. Demonstrated experience leading matrix teams. Preferred Qualifications & Skills Project leadership experience. Familiarity with AI/ML tools for data analysis. Track record of scientific publications or patent filings. Closing Date for Applications - 19th April 2026 (COB) GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
A global biopharmaceutical company is seeking a Principal Scientist in Biophysics to lead the development and application of advanced biophysical techniques for drug discovery. The ideal candidate will have a PhD in Biophysics or a related field and significant hands-on experience with technologies such as SPR and BLI. This role involves designing experiments, analyzing biophysical data, and collaborating across teams. The position offers a hybrid working model, competitive salary, and various employee benefits.
Apr 24, 2026
Full time
A global biopharmaceutical company is seeking a Principal Scientist in Biophysics to lead the development and application of advanced biophysical techniques for drug discovery. The ideal candidate will have a PhD in Biophysics or a related field and significant hands-on experience with technologies such as SPR and BLI. This role involves designing experiments, analyzing biophysical data, and collaborating across teams. The position offers a hybrid working model, competitive salary, and various employee benefits.
Job Responsibilities Manages project scope of work, objectives, and quality of deliverables to ensure the project specific milestones and timelines are met. Serves as primary interface between internal team, customers, and vendors in the areas of medical monitoring, medical data review, eligibility review and other project specific medical services. Works with Medical Directors to develop medical plans (Medical Management Plan, Medical Data Review Plan, and Eligibility Review Plan). Works with customers to develop non-standard procedures and project plans. Performs regular and ad-hoc medical review of data listings and visualizations as needed; analyzes the data to identify risks and data patterns/trends and supports documentation of medical reviews. Pro actively identifies and resolves medical data review issues, provides advanced medical data review on various project level data as needed. Collaborates with study team members including Clinical Operations, Data Management, Drug Safety and Pharmacovigilance, and Project Management (set up and/or lead meetings as appropriate) to identify risks related to data integrity and subject safety. Identifies and escalates ongoing and newly developed study concerns such as at risk project deliverables and out of scope tasks to the project leads in a timely manner. Troubleshoots situations as needed. Acts as key scientific leader on customer partnership/portfolio/coalition level. Attends strategic meetings with customers. Leads Scientific Services team on a project and evaluates resource needs. Serves as respective area's Subject Matter Expert (SME) to ensure that project teams consistently operate in compliance with research principles and procedures. Provides scientific oversight and project/product development training to Company staff and project teams. Attends and presents at Trusted Process meetings and may participate in internal and external audits or inspections. Assists with responding to findings from audits or inspections. Contributes to general and project specific training. Assists Medical Director(s) on the review and development of training material and project level documents, including but not limited to clinical protocols, clinical study reports, abstracts and manuscripts, presentations, investigator brochures, and various other internal and external documents and communications as needed. Develops, or oversees the development of, work orders and change orders for projects involving MSM. Contributes to Company business development activities by providing scientific input into data collection tools, data monitoring plans, requests for proposals (RFPs), as assigned. Acquires understanding and knowledge of ongoing protocol designs and disease related terminology and pathology. Provides strategic oversight and active contributions to the planning and development of medical monitoring and scientific services activities, and provides direction and oversight across all research projects and other research related activities. Evaluates processes for improvement in efficiency and effectiveness and recommends changes; participates in process development and improvement of departmental functions. Adheres to all data privacy guidelines, International Committee on Harmonization (ICH), Good Clinical Practices (GCPs), all enterprise policies, standard operating procedures, work instructions, and project plans. Adheres to customer policies and standard operating procedures, as required in project plans. Summary Demonstrates process expertise and therapeutic area knowledge. Acts as a key scientific leader on projects. Collaborates with Medical and Scientific Management (MSM) team members as well as with functions outside to provide high quality deliverables. Responsible for coordinating the functional team members and their activities for medical and scientific services, liaising with project leadership and the customer to ensure that the MSM deliverables (timelines, quality, productivity) are met. This role has overall accountability for the execution of the Medical Management strategy on the project. Equal Opportunity Employer Syneos Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, marital status, ethnicity, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability or any other legally protected status and will not be discriminated against. If you are an individual with a disability who requires reasonable accommodation to complete any part of our application process, please contact us at .
Apr 24, 2026
Full time
Job Responsibilities Manages project scope of work, objectives, and quality of deliverables to ensure the project specific milestones and timelines are met. Serves as primary interface between internal team, customers, and vendors in the areas of medical monitoring, medical data review, eligibility review and other project specific medical services. Works with Medical Directors to develop medical plans (Medical Management Plan, Medical Data Review Plan, and Eligibility Review Plan). Works with customers to develop non-standard procedures and project plans. Performs regular and ad-hoc medical review of data listings and visualizations as needed; analyzes the data to identify risks and data patterns/trends and supports documentation of medical reviews. Pro actively identifies and resolves medical data review issues, provides advanced medical data review on various project level data as needed. Collaborates with study team members including Clinical Operations, Data Management, Drug Safety and Pharmacovigilance, and Project Management (set up and/or lead meetings as appropriate) to identify risks related to data integrity and subject safety. Identifies and escalates ongoing and newly developed study concerns such as at risk project deliverables and out of scope tasks to the project leads in a timely manner. Troubleshoots situations as needed. Acts as key scientific leader on customer partnership/portfolio/coalition level. Attends strategic meetings with customers. Leads Scientific Services team on a project and evaluates resource needs. Serves as respective area's Subject Matter Expert (SME) to ensure that project teams consistently operate in compliance with research principles and procedures. Provides scientific oversight and project/product development training to Company staff and project teams. Attends and presents at Trusted Process meetings and may participate in internal and external audits or inspections. Assists with responding to findings from audits or inspections. Contributes to general and project specific training. Assists Medical Director(s) on the review and development of training material and project level documents, including but not limited to clinical protocols, clinical study reports, abstracts and manuscripts, presentations, investigator brochures, and various other internal and external documents and communications as needed. Develops, or oversees the development of, work orders and change orders for projects involving MSM. Contributes to Company business development activities by providing scientific input into data collection tools, data monitoring plans, requests for proposals (RFPs), as assigned. Acquires understanding and knowledge of ongoing protocol designs and disease related terminology and pathology. Provides strategic oversight and active contributions to the planning and development of medical monitoring and scientific services activities, and provides direction and oversight across all research projects and other research related activities. Evaluates processes for improvement in efficiency and effectiveness and recommends changes; participates in process development and improvement of departmental functions. Adheres to all data privacy guidelines, International Committee on Harmonization (ICH), Good Clinical Practices (GCPs), all enterprise policies, standard operating procedures, work instructions, and project plans. Adheres to customer policies and standard operating procedures, as required in project plans. Summary Demonstrates process expertise and therapeutic area knowledge. Acts as a key scientific leader on projects. Collaborates with Medical and Scientific Management (MSM) team members as well as with functions outside to provide high quality deliverables. Responsible for coordinating the functional team members and their activities for medical and scientific services, liaising with project leadership and the customer to ensure that the MSM deliverables (timelines, quality, productivity) are met. This role has overall accountability for the execution of the Medical Management strategy on the project. Equal Opportunity Employer Syneos Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, marital status, ethnicity, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability or any other legally protected status and will not be discriminated against. If you are an individual with a disability who requires reasonable accommodation to complete any part of our application process, please contact us at .
Updated: Yesterday Location: London, LND, United Kingdom Job ID: Summary Demonstrates process expertise and therapeutic area knowledge. Acts as a key scientific leader on projects. Collaborates with Medical and Scientific Management (MSM) team members as well as with functions outside to provide high-quality deliverables. Responsible for coordinating the functional team members and their activities for medical and scientific services, liaising with project leadership and the customer to ensure that the MSM deliverables (timelines, quality, productivity) are met. This role has overall accountability for the execution of the Medical Management strategy on the project. Job Responsibilities Manages project scope of work, objectives, and quality of deliverables to ensure the project specific milestones and timelines are met. Serves as primary interface between internal team, customers, and vendors in the areas of medical monitoring, medical data review, eligibility review and other project specific medical services. Works with Medical Directors to develop medical plans (Medical Management Plan, Medical Data Review Plan, and Eligibility Review Plan). Works with customers to develop non-standard procedures and project plans. Performs regular and ad-hoc medical review of data listings and visualizations as needed; analyzes the data to identify risks and data patterns/trends and supports documentation of medical reviews. Pro-actively identifies and resolves medical data review issues as they arise. Provides advanced medical data review on various project level data as needed. Collaborates with study team members including Clinical Operations, Data Management, Drug Safety and Pharmacovigilance, and Project Management (set up and/or lead meetings as appropriate) to identify risks related to data integrity and subject safety. Identifies and escalates ongoing and newly developed study concerns such as at risk project deliverables and out of scope tasks to the project leads in a timely manner. Troubleshoots situations as needed. Acts as key scientific leader on customer partnership/portfolio/coalition level. Attends strategic meetings with customers. Leads Scientific Services team on a project and evaluates resourcing needs. Serves as respective area's Subject Matter Expert (SME) to ensure that project teams consistently operate in compliance with research principles and procedures. Provides scientific oversight and project/product development training to Company staff and project teams. Attends and presents at Trusted Process meetings and may participate in internal and external audits or inspections. Assists with responding to findings from audits or inspections. Contributes to general and project specific training. Assists Medical Director(s) on the review and development of training material and project level documents, including but not limited to clinical protocols, clinical study reports, abstract and manuscripts, presentations, investigator brochures, and various other internal and external documents and communications as needed. Develops, or oversees the development of, work orders and change orders for projects involving MSM. Contributes to Company business development activities by providing scientific input into data collection tools, data monitoring plans, requests for proposals (RFPs), as assigned. Acquires understanding and knowledge of ongoing protocol designs and disease related terminology and pathology. Provides strategic oversight and active contributions to the planning and development of medical monitoring and scientific services activities, as well as provides direction and oversight across all research projects, and other research related activities. Evaluates processes for improvement in efficiency and effectiveness and recommends changes; participates in process development and improvement of departmental functions. Adheres to all data privacy guidelines, International Committee on Harmonization (ICH), and Good Clinical Practices (GCPs), all enterprise policies, standard operating procedures, work instructions, and project plans. Adheres to customer policies and standard operating procedures, as required in project plans. Equity, Diversity, and Inclusion Statement Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.
Apr 24, 2026
Full time
Updated: Yesterday Location: London, LND, United Kingdom Job ID: Summary Demonstrates process expertise and therapeutic area knowledge. Acts as a key scientific leader on projects. Collaborates with Medical and Scientific Management (MSM) team members as well as with functions outside to provide high-quality deliverables. Responsible for coordinating the functional team members and their activities for medical and scientific services, liaising with project leadership and the customer to ensure that the MSM deliverables (timelines, quality, productivity) are met. This role has overall accountability for the execution of the Medical Management strategy on the project. Job Responsibilities Manages project scope of work, objectives, and quality of deliverables to ensure the project specific milestones and timelines are met. Serves as primary interface between internal team, customers, and vendors in the areas of medical monitoring, medical data review, eligibility review and other project specific medical services. Works with Medical Directors to develop medical plans (Medical Management Plan, Medical Data Review Plan, and Eligibility Review Plan). Works with customers to develop non-standard procedures and project plans. Performs regular and ad-hoc medical review of data listings and visualizations as needed; analyzes the data to identify risks and data patterns/trends and supports documentation of medical reviews. Pro-actively identifies and resolves medical data review issues as they arise. Provides advanced medical data review on various project level data as needed. Collaborates with study team members including Clinical Operations, Data Management, Drug Safety and Pharmacovigilance, and Project Management (set up and/or lead meetings as appropriate) to identify risks related to data integrity and subject safety. Identifies and escalates ongoing and newly developed study concerns such as at risk project deliverables and out of scope tasks to the project leads in a timely manner. Troubleshoots situations as needed. Acts as key scientific leader on customer partnership/portfolio/coalition level. Attends strategic meetings with customers. Leads Scientific Services team on a project and evaluates resourcing needs. Serves as respective area's Subject Matter Expert (SME) to ensure that project teams consistently operate in compliance with research principles and procedures. Provides scientific oversight and project/product development training to Company staff and project teams. Attends and presents at Trusted Process meetings and may participate in internal and external audits or inspections. Assists with responding to findings from audits or inspections. Contributes to general and project specific training. Assists Medical Director(s) on the review and development of training material and project level documents, including but not limited to clinical protocols, clinical study reports, abstract and manuscripts, presentations, investigator brochures, and various other internal and external documents and communications as needed. Develops, or oversees the development of, work orders and change orders for projects involving MSM. Contributes to Company business development activities by providing scientific input into data collection tools, data monitoring plans, requests for proposals (RFPs), as assigned. Acquires understanding and knowledge of ongoing protocol designs and disease related terminology and pathology. Provides strategic oversight and active contributions to the planning and development of medical monitoring and scientific services activities, as well as provides direction and oversight across all research projects, and other research related activities. Evaluates processes for improvement in efficiency and effectiveness and recommends changes; participates in process development and improvement of departmental functions. Adheres to all data privacy guidelines, International Committee on Harmonization (ICH), and Good Clinical Practices (GCPs), all enterprise policies, standard operating procedures, work instructions, and project plans. Adheres to customer policies and standard operating procedures, as required in project plans. Equity, Diversity, and Inclusion Statement Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.
Principal Scientist - Automation for Cell Culture We are looking for a highly motivated individual experienced in automating biology, automated liquid handling, high-throughput screening, and Quality Assurance (QA) processes and protocols to join GSK Oncology TA's Oncology Translational Research team. This team works collaboratively with members of the Oncology TA group to enhance clinical translatability and support preclinical development programs within GSK Oncology TA. The chosen candidate will be part of a group using patient-derived organoids to develop and implement innovative cellular, genomic, and molecular techniques, applying multimodal analytics and machine learning models. The goal is to advance cancer patient risk stratification and predict responses to future targeted and immunotherapy treatments. Key responsibilities Provide technical expertise to design, develop, optimise and deploy lab in a loop systems and orchestrated automation platforms, ensuring throughput and performance increase. Oversee network infrastructure for lab automation platforms, handling design, deployment, support, installation, configuration, qualification, and operational handover. Act as the main technical contact between research scientists, automation engineers, and GSK Tech to gather requirements, set priorities, deliver solutions and trainings, and promote ongoing improvements. Support a range of workflows including, but not limited to, organoid cell culture, compound treatment, preparation of samples for endpoint analysis (e.g. Flow cytometry, imaging). Develop and maintain technical documentation, SOPs, runbooks, and training materials for automation platforms, while collaborating with Cyber Security and OT teams to assess and remediate security risks. Basic Qualifications & Skills Experience with liquid handling methods and integrated automation systems in a research or laboratory environment (such as Bravo and Hamilton), scheduling software, data exchange protocols and programming languages such as Python, R, C#, or Java. Experience working with complex or non standard biological materials (e.g. viscous or ECM based systems) in sterile workflows and aseptic techniques in automated or semi automated environments. Bachelor's Degree in Life Science, Computer Science, Engineering, Bioinformatics, and significant practical experience in IT/OT roles supporting automation, infrastructure or applications in life sciences or research environments. Demonstrated experience with network, TCP/IP protocols, cyber security principles, secure configuration and system administration in lab automation settings, including practical experience configuring network interfaces for devices and instrument control systems. Experience with scripting. Strong analytical, problem solving, and communication abilities, enabling swift resolution of technical challenges and clear engagement with diverse stakeholders. Preferred Qualifications & Skills Experience in collaboration with biopharma. Experience in cell culture and/or 3D systems or spheroids. Ability to thrive in a fast paced, dynamic environment and adapt to changing priorities. Equal Opportunity Statement GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Closing Date for Applications - 24th April 2026
Apr 24, 2026
Full time
Principal Scientist - Automation for Cell Culture We are looking for a highly motivated individual experienced in automating biology, automated liquid handling, high-throughput screening, and Quality Assurance (QA) processes and protocols to join GSK Oncology TA's Oncology Translational Research team. This team works collaboratively with members of the Oncology TA group to enhance clinical translatability and support preclinical development programs within GSK Oncology TA. The chosen candidate will be part of a group using patient-derived organoids to develop and implement innovative cellular, genomic, and molecular techniques, applying multimodal analytics and machine learning models. The goal is to advance cancer patient risk stratification and predict responses to future targeted and immunotherapy treatments. Key responsibilities Provide technical expertise to design, develop, optimise and deploy lab in a loop systems and orchestrated automation platforms, ensuring throughput and performance increase. Oversee network infrastructure for lab automation platforms, handling design, deployment, support, installation, configuration, qualification, and operational handover. Act as the main technical contact between research scientists, automation engineers, and GSK Tech to gather requirements, set priorities, deliver solutions and trainings, and promote ongoing improvements. Support a range of workflows including, but not limited to, organoid cell culture, compound treatment, preparation of samples for endpoint analysis (e.g. Flow cytometry, imaging). Develop and maintain technical documentation, SOPs, runbooks, and training materials for automation platforms, while collaborating with Cyber Security and OT teams to assess and remediate security risks. Basic Qualifications & Skills Experience with liquid handling methods and integrated automation systems in a research or laboratory environment (such as Bravo and Hamilton), scheduling software, data exchange protocols and programming languages such as Python, R, C#, or Java. Experience working with complex or non standard biological materials (e.g. viscous or ECM based systems) in sterile workflows and aseptic techniques in automated or semi automated environments. Bachelor's Degree in Life Science, Computer Science, Engineering, Bioinformatics, and significant practical experience in IT/OT roles supporting automation, infrastructure or applications in life sciences or research environments. Demonstrated experience with network, TCP/IP protocols, cyber security principles, secure configuration and system administration in lab automation settings, including practical experience configuring network interfaces for devices and instrument control systems. Experience with scripting. Strong analytical, problem solving, and communication abilities, enabling swift resolution of technical challenges and clear engagement with diverse stakeholders. Preferred Qualifications & Skills Experience in collaboration with biopharma. Experience in cell culture and/or 3D systems or spheroids. Ability to thrive in a fast paced, dynamic environment and adapt to changing priorities. Equal Opportunity Statement GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Closing Date for Applications - 24th April 2026
200 staff. Limitless Potential. One team. Cancer Research Horizons. Senior Scientist (Protein Sciences - Small Molecule) £41,700 - £51,300 plus benefits Department: Therapeutic Innovation, R&I Reports to: Principal Scientist Location : CRUK Scotland Institute, Glasgow with Low flex (Lab Based) Contract type/hours: Permanent Contract, Full time 35 hours per week Closing date: Friday 1st May :55pm Interview Date: Approximately week commencing 11th May Interview process: Competency based interview with task/presentation At Cancer Research UK, we exist to beat cancer. We have an exciting opportunity for a Senior Scientist in Protein Sciences to join Cancer Research Horizons in our Glasgow lab. You'll lead the expression, purification and QC of protein antigens and related molecules (small molecule drug discovery focus), all of which play a critical role in driving our screening and crystallography programmes. Working primarily across bacterial and insect systems, you'll deliver high quality, well characterised proteins using a range of biochemical and biophysical methods. You'll collaborate closely with multidisciplinary drug discovery teams, communicate insights clearly, drive strategic decisions, innovate across the existing pipeline, bring strong scientific leadership the team, and help ensure a safe, efficient lab environment. You'll collaborate closely with multi disciplinary teams, communicate insights clearly, maintain high quality electronic records and help ensure a safe, efficient lab environment. We're looking for candidates with a PhD (or equivalent experience) in Molecular/Protein Sciences, Chemistry with substantial drug discovery experience, with strong protein production and molecular biology expertise. This is a high impact role that advances our discoveries. If you're adaptable, driven, and ready to make a scientific impact, this is your chance to contribute. Every role at CRH is united by a single mission: beating cancer sooner. We carry out work that matters - impacting patients, families, and the future of science. discovery experience, with strong molecular biology, protein purification based expertise. About Cancer Research Horizons As the world's biggest medical research charity, we've helped bring eleven new cancer drugs to market. However, there is still an urgent need to bring more effective treatments to patients faster. We have recently developed a new approach to driving therapeutic innovation through the creation of Cancer Research Horizons (CRH). We have brought together Cancer Research UK's established drug discovery teams under one organisation and leadership team, combining our unique pipeline of cancer biology expertise and access to CRUK's world-class academic network, cutting edge technology platforms and clinical expertise to 1) Bring new treatments to patients faster and 2) Tackle the biggest challenges in discovering cancer drugs by seeking out more radical ideas and embracing risk in our bid to achieve success. Based at sites in Cambridge, the CRUK Scotland Institute in Glasgow, and Newcastle University, you'll be joining over 200 staff from both industrial and academic backgrounds, all dedicated to bringing forward the day we cure cancer. What will you be doing? Expression and purification of recombinant proteins using bacterial and insect systems to support screening and crystallography programmes Ensure all production is sufficiently characterised and QC'd using appropriate biochemical and biophysical methods Interpret, analyse and clearly summarise data for presentation to varied audiences Work collaboratively within multi disciplinary research teams Communicate effectively, demonstrating openness and respect for others' perspectives Prioritise workload according to project objectives and take responsibility for timely delivery Drive scientific and technical innovation, including through internal and external collaborations, while staying current with developments in the field Maintain accurate and up to date electronic laboratory notebook records Take responsibility for assigned laboratory equipment and associated duties Uphold safe, compliant and effective working practices What are we looking for? PhD or equivalent in Molecular Sciences, Protein Sciences, Chemistry or significant experience within a drug discovery environment Significant experience in providing protein production & molecular biology expertise to enable drug discovery projects Ability to work in a fast-paced, quickly changing environment, showing agility/flexibility to meet deadlines and goals with a can-do attitude Use of current molecular biology techniques (PCR, cloning) to construct expression vectors and isolate genes Purification of tagged and native proteins via manual, AKTA and automated purification platforms using a range of chromatographic techniques Protein analytical techniques - e.g. protein quantitation assays, SDS-PAGE analysis, HPLC, Western Blotting and protein modifications e.g. biotinylation Track record of delivering results across a diverse project portfolio by leading and driving strategic and scientific initiatives Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human : Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience, we'd still love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively. For more information on this career opportunity please visit our website or contact us. For more updates on our work and careers, follow us on: Linked In, Facebook, Instagram, X and YouTube.
Apr 24, 2026
Full time
200 staff. Limitless Potential. One team. Cancer Research Horizons. Senior Scientist (Protein Sciences - Small Molecule) £41,700 - £51,300 plus benefits Department: Therapeutic Innovation, R&I Reports to: Principal Scientist Location : CRUK Scotland Institute, Glasgow with Low flex (Lab Based) Contract type/hours: Permanent Contract, Full time 35 hours per week Closing date: Friday 1st May :55pm Interview Date: Approximately week commencing 11th May Interview process: Competency based interview with task/presentation At Cancer Research UK, we exist to beat cancer. We have an exciting opportunity for a Senior Scientist in Protein Sciences to join Cancer Research Horizons in our Glasgow lab. You'll lead the expression, purification and QC of protein antigens and related molecules (small molecule drug discovery focus), all of which play a critical role in driving our screening and crystallography programmes. Working primarily across bacterial and insect systems, you'll deliver high quality, well characterised proteins using a range of biochemical and biophysical methods. You'll collaborate closely with multidisciplinary drug discovery teams, communicate insights clearly, drive strategic decisions, innovate across the existing pipeline, bring strong scientific leadership the team, and help ensure a safe, efficient lab environment. You'll collaborate closely with multi disciplinary teams, communicate insights clearly, maintain high quality electronic records and help ensure a safe, efficient lab environment. We're looking for candidates with a PhD (or equivalent experience) in Molecular/Protein Sciences, Chemistry with substantial drug discovery experience, with strong protein production and molecular biology expertise. This is a high impact role that advances our discoveries. If you're adaptable, driven, and ready to make a scientific impact, this is your chance to contribute. Every role at CRH is united by a single mission: beating cancer sooner. We carry out work that matters - impacting patients, families, and the future of science. discovery experience, with strong molecular biology, protein purification based expertise. About Cancer Research Horizons As the world's biggest medical research charity, we've helped bring eleven new cancer drugs to market. However, there is still an urgent need to bring more effective treatments to patients faster. We have recently developed a new approach to driving therapeutic innovation through the creation of Cancer Research Horizons (CRH). We have brought together Cancer Research UK's established drug discovery teams under one organisation and leadership team, combining our unique pipeline of cancer biology expertise and access to CRUK's world-class academic network, cutting edge technology platforms and clinical expertise to 1) Bring new treatments to patients faster and 2) Tackle the biggest challenges in discovering cancer drugs by seeking out more radical ideas and embracing risk in our bid to achieve success. Based at sites in Cambridge, the CRUK Scotland Institute in Glasgow, and Newcastle University, you'll be joining over 200 staff from both industrial and academic backgrounds, all dedicated to bringing forward the day we cure cancer. What will you be doing? Expression and purification of recombinant proteins using bacterial and insect systems to support screening and crystallography programmes Ensure all production is sufficiently characterised and QC'd using appropriate biochemical and biophysical methods Interpret, analyse and clearly summarise data for presentation to varied audiences Work collaboratively within multi disciplinary research teams Communicate effectively, demonstrating openness and respect for others' perspectives Prioritise workload according to project objectives and take responsibility for timely delivery Drive scientific and technical innovation, including through internal and external collaborations, while staying current with developments in the field Maintain accurate and up to date electronic laboratory notebook records Take responsibility for assigned laboratory equipment and associated duties Uphold safe, compliant and effective working practices What are we looking for? PhD or equivalent in Molecular Sciences, Protein Sciences, Chemistry or significant experience within a drug discovery environment Significant experience in providing protein production & molecular biology expertise to enable drug discovery projects Ability to work in a fast-paced, quickly changing environment, showing agility/flexibility to meet deadlines and goals with a can-do attitude Use of current molecular biology techniques (PCR, cloning) to construct expression vectors and isolate genes Purification of tagged and native proteins via manual, AKTA and automated purification platforms using a range of chromatographic techniques Protein analytical techniques - e.g. protein quantitation assays, SDS-PAGE analysis, HPLC, Western Blotting and protein modifications e.g. biotinylation Track record of delivering results across a diverse project portfolio by leading and driving strategic and scientific initiatives Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human : Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience, we'd still love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively. For more information on this career opportunity please visit our website or contact us. For more updates on our work and careers, follow us on: Linked In, Facebook, Instagram, X and YouTube.
Do you have very recent UK Insurance data experience? Hybrid working part City of London based - This leading and exciting Insurer are seeking a detail-oriented and organised Motor Insurance Pricing/Data Practitioner to join their Pricing and Underwriting team. To apply for this role you MUST have multiple years of experience working within a personal lines business within motor and or home products They ve built the kind of pricing infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream up an idea and get it live If you're passionate about using data, tech, and creativity to push the boundaries of insurance pricing, we d love to hear from you. Role Purpose This role focuses on end-to-end customer pricing, covering both risk and margin for the Insurer. It is a highly autonomous role within a specialized team. Key Responsibilities Optimization: Identify pricing opportunities across segments to maximize profitability and market competitiveness. Innovation: Develop new features, tools, and models for advanced pricing sophistication. Monitoring: Analyse claims performance to ensure accurate calibration, especially regarding inflation and trends. Automation: Build automated processes to improve operational efficiency Ideal Candidate Profile Extensive skills within Motor Insurance Pricing and Data Commercial Mindset: Motivated by driving tangible business value through data-driven decisions. Technical Proficiency: Skilled in data analysis and modelling techniques. Requires experience with analytical tools (e.g., Python, SQL, R) and a background in insurance pricing or data science. The company are offering an impressive salary and benefits package and this is an exciting time to join this highly progressive Insurer.
Apr 24, 2026
Full time
Do you have very recent UK Insurance data experience? Hybrid working part City of London based - This leading and exciting Insurer are seeking a detail-oriented and organised Motor Insurance Pricing/Data Practitioner to join their Pricing and Underwriting team. To apply for this role you MUST have multiple years of experience working within a personal lines business within motor and or home products They ve built the kind of pricing infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream up an idea and get it live If you're passionate about using data, tech, and creativity to push the boundaries of insurance pricing, we d love to hear from you. Role Purpose This role focuses on end-to-end customer pricing, covering both risk and margin for the Insurer. It is a highly autonomous role within a specialized team. Key Responsibilities Optimization: Identify pricing opportunities across segments to maximize profitability and market competitiveness. Innovation: Develop new features, tools, and models for advanced pricing sophistication. Monitoring: Analyse claims performance to ensure accurate calibration, especially regarding inflation and trends. Automation: Build automated processes to improve operational efficiency Ideal Candidate Profile Extensive skills within Motor Insurance Pricing and Data Commercial Mindset: Motivated by driving tangible business value through data-driven decisions. Technical Proficiency: Skilled in data analysis and modelling techniques. Requires experience with analytical tools (e.g., Python, SQL, R) and a background in insurance pricing or data science. The company are offering an impressive salary and benefits package and this is an exciting time to join this highly progressive Insurer.
Location: Hybrid, three days per week in our London office Email: Hours: Full Time Contract: Permanent Closing Date: 10 July 2026 In a Nutshell Denaee is developing a global fintech super app and deep tech solutions ecosystem that integrates digital banking, payments, virtual trading, AI driven systems, intelligent automation, advanced analytics, digital twin technologies, and connected software and hardware infrastructure. Data intelligence is central to our innovation strategy. We are seeking a highly capable Data Scientist to help transform complex data into actionable insights that strengthen our fintech platforms and intelligent technology systems. Your Role As a Data Scientist at Denaee, you will leverage advanced analytics, machine learning, and statistical modelling to enhance decision making across our fintech and deep tech services. You will analyse large scale financial, behavioural, and operational datasets to identify patterns, risks, and growth opportunities. Responsibilities include building predictive models, developing machine learning algorithms, designing experimentation frameworks, and delivering data visualisations that support executive and product strategy. You will collaborate with engineering, AI, product, and compliance teams to integrate scalable, secure, and high performance data solutions into our digital banking platforms and intelligent systems. Requirements Candidates should hold a degree in data science, statistics, computer science, or a related quantitative field, with advanced qualifications highly regarded. Proven experience in data analytics and machine learning within fintech, financial services, or advanced technology environments is essential. Strong proficiency in Python, R, SQL, and relevant machine learning libraries is required. You should demonstrate expertise in statistical analysis, predictive modelling, data governance, and visualisation techniques. Clear communication skills and the ability to translate complex analytical findings into strategic recommendations are critical. Why Denaee Joining Denaee means contributing to a forward looking organisation redefining finance through intelligent data driven fintech platforms and deep tech ecosystems. You will work alongside engineers, AI specialists, strategists, and product leaders committed to innovation and scalability. We offer a flexible hybrid working model, exposure to advanced digital infrastructure, and the opportunity to make a measurable impact on high growth financial and technology platforms. Be Yourself At Denaee, we value diversity, equal opportunity, and inclusive collaboration. We welcome applications from individuals of all backgrounds and foster an environment where diverse perspectives drive innovation. If you require any support during the recruitment process, please contact and we will ensure your experience is accessible and fully supported.
Apr 24, 2026
Full time
Location: Hybrid, three days per week in our London office Email: Hours: Full Time Contract: Permanent Closing Date: 10 July 2026 In a Nutshell Denaee is developing a global fintech super app and deep tech solutions ecosystem that integrates digital banking, payments, virtual trading, AI driven systems, intelligent automation, advanced analytics, digital twin technologies, and connected software and hardware infrastructure. Data intelligence is central to our innovation strategy. We are seeking a highly capable Data Scientist to help transform complex data into actionable insights that strengthen our fintech platforms and intelligent technology systems. Your Role As a Data Scientist at Denaee, you will leverage advanced analytics, machine learning, and statistical modelling to enhance decision making across our fintech and deep tech services. You will analyse large scale financial, behavioural, and operational datasets to identify patterns, risks, and growth opportunities. Responsibilities include building predictive models, developing machine learning algorithms, designing experimentation frameworks, and delivering data visualisations that support executive and product strategy. You will collaborate with engineering, AI, product, and compliance teams to integrate scalable, secure, and high performance data solutions into our digital banking platforms and intelligent systems. Requirements Candidates should hold a degree in data science, statistics, computer science, or a related quantitative field, with advanced qualifications highly regarded. Proven experience in data analytics and machine learning within fintech, financial services, or advanced technology environments is essential. Strong proficiency in Python, R, SQL, and relevant machine learning libraries is required. You should demonstrate expertise in statistical analysis, predictive modelling, data governance, and visualisation techniques. Clear communication skills and the ability to translate complex analytical findings into strategic recommendations are critical. Why Denaee Joining Denaee means contributing to a forward looking organisation redefining finance through intelligent data driven fintech platforms and deep tech ecosystems. You will work alongside engineers, AI specialists, strategists, and product leaders committed to innovation and scalability. We offer a flexible hybrid working model, exposure to advanced digital infrastructure, and the opportunity to make a measurable impact on high growth financial and technology platforms. Be Yourself At Denaee, we value diversity, equal opportunity, and inclusive collaboration. We welcome applications from individuals of all backgrounds and foster an environment where diverse perspectives drive innovation. If you require any support during the recruitment process, please contact and we will ensure your experience is accessible and fully supported.
A leading cloud software provider is seeking a skilled Data Scientist to join their Customer Success team. This remote role entails developing educational content for Spotfire and related tools, leading webinars, and interacting with clients to enhance their data skills. The ideal candidate has over 3 years of experience in data analytics, exceptional public speaking skills, and proficiency in Python and R. This is an excellent opportunity for those passionate about driving innovation through data science.
Apr 24, 2026
Full time
A leading cloud software provider is seeking a skilled Data Scientist to join their Customer Success team. This remote role entails developing educational content for Spotfire and related tools, leading webinars, and interacting with clients to enhance their data skills. The ideal candidate has over 3 years of experience in data analytics, exceptional public speaking skills, and proficiency in Python and R. This is an excellent opportunity for those passionate about driving innovation through data science.
Job Title : Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £70,000 - £85,000 Location: Eastleigh and Reigate Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us . Want to be part of a Winning Team? Come and join Ageas.Click on the 'Apply button' to be considered. Important Notice -
Apr 23, 2026
Full time
Job Title : Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £70,000 - £85,000 Location: Eastleigh and Reigate Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us . Want to be part of a Winning Team? Come and join Ageas.Click on the 'Apply button' to be considered. Important Notice -
