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Job Title: - Embedded Data Scientist Duration: 6 months Location: Waterside Off Bath Road Harmondsworth Middlesex.Description: Role Purpose The Data Scientist will develop advanced models and analytics to unlock value from BA's operational data while ensuring solutions can be adapted for other OpCos. This role requires consultancy-level expertise in AI/ML and a strong ability to translate insights into business impact. Key Responsibilities • Design and implement predictive and prescriptive models for MRO AI Solutions., • Perform exploratory data analysis and feature engineering., • Collaborate with Data Engineers to ensure data readiness for modeling., • Communicate findings and recommendations to business stakeholders., • Continuously improve models based on feedback and operational performance., • Proficiency in Python and ML frameworks (TensorFlow, PyTorch)., • Strong statistical and analytical skills., • Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.)., • Demonstrated ability to take models from design through to production deployment, including performance optimization, monitoring, and integration into business workflows beyond proof-of-concept or prototype stages., • Familiarity with airline operations or supply chain analytics is desirable., • Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value., • Ability to frame complex problems and deliver actionable solutions., • Strong presentation and storytelling skills for executive audiences., • Experience in high-impact consulting or transformation projects., • Track record of creating high-impact outcomes and driving stakeholder satisfaction from day one., • Experience in building reusable AI components and frameworks for enterprise-scale deployments Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

PRODUCT DATA ANALYST / SCIENTIST UP TO £85,000 HYBRID - LONDON 2x PER WEEK + 1x MONTHLY TEAM TRAVEL THE COMPANY Backed by private equity, this fast-growing consumer technology business is on a mission to become more product-focused and deliver greater personalisation for its users. With strong leadership and exciting growth plans, they're now looking for a senior-level Product Data Analyst/Scientist to help shape product strategy and deliver actionable insights. THE ROLE As a Product Data Analyst/Scientist, you will: • Own and drive product analytics, focusing on user behaviour and personalisation., • Deliver insights that directly influence product strategy and experimentation., • Build and maintain dashboards to track product performance and user engagement., • Partner with stakeholders across product and analytics to communicate insights effectively., • Experience in product analytics, within B2C consumer tech businesses, • Strong SQL skills essential., • Proficiency with data visualisation tools (Looker preferred, open to others)., • Experience with Python desirable., • Product analytics expertise: experimentation, dashboarding, and driving product strategy., • Excellent communication and stakeholder management skills., • Opportunity to influence product strategy in a PE-backed, high-growth business., • Work closely with senior leadership, including the Director of Analytics., • Competitive salary plus benefits.

Are you looking to benefit from a new career in Software Development? Skills shortages in the IT sector is driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level software development staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge, and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in four simple steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. • HTML Essentials (6 weeks) Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. • Learn the Command Line (1.5 weeks), • Learn Git & GitHub (1.5 weeks), • Learn JavaScript (1.5 weeks) Step 3 - Build a Portfolio Website Project (1 week) Additional Courses • AWS Certified Cloud Practitioner We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

• Build models across credit, insurance, pricing, and more., • Leading model development from the ground up to drive business impact., • A great next step for a data scientist who thrives in the modelling space.We’re looking for a Senior Data Scientist with a passion for building risk models. If you’re the kind of data scientist who doesn’t just tweak existing models but creates them from scratch, this is your chance to make a real impact!What you’ll be doingThis role is all about risk (we can’t stress that enough!). We’re looking for someone technically strong (likely a data scientist or similar) with a proven background in modelling risk across different environments.As part of a specialist Risk Modelling Team, you’ll operate in a collaborative, matrix-style environment. Your work will include model development, enhancement, and forecasting, ensuring outputs are accurate, robust, and clearly communicated.This role is also a chance to work on variations of risk, you’ll model across multiple areas and projects, outside of a highly regulated environment. They need someone adaptable, curious, and genuinely passionate about risk modelling. Your projects could include insurance risk, asset risk, financial risk, pricing risk, credit risk, climate risk and more.You’ll thrive on building and enhancing models from the ground up, bridging the gap between complex statistical techniques and clear, actionable insights for stakeholders. You’ll work closely with senior leaders, collaborate across functions, and play a key role in strategic projects. Sound like you? Apply now!What experience you’ll need, • Strong background in risk modelling and using these insights to inform business decisions, • Proven experience building risk models from scratch and enhancing existing ones, • Excellent skills in R, Python, or SAS, • Experience leading complex model updates (both operational enhancements and full development projects) with clear communication of outcomes, • Ability to present to stakeholders and translate risk issues into business applications, • Exposure to multiple risk types (insurance, pricing, climate, asset, credit, etc.), • Knowledge of model risk management, • Experience working outside regulated risk environments, • Desirable: Industry experience in finance, automotive, or similar sectors, plus exposure to advanced techniques like machine learning or predictive modellingWhat you’ll get in returnUp to £90,000 base salary, plus a strong bonus and a comprehensive benefits package. You’ll work from the London office three days per week, with flexibility to work remotely the rest of the time.What’s next?Apply with your CV, and we’ll be in touch to arrange a conversation if it’s a good fit!

Data Scientist Location: London (Hybrid - 3 days on-site) Salary: DOE (£70,000+) and benefits The Role We are seeking a technically strong Data Scientist to join a growing Fraud & Financial Crime team within a fast-scaling financial services environment. This role is suited to someone who enjoys working at the intersection of analytics, fraud strategy, and data science, with the ability to take ownership of detection logic, models, and decisioning frameworks. You will apply advanced analytics and modelling techniques to enhance financial crime detection, working closely with internal stakeholders and external vendors to deliver scalable, data-driven solutions. This is a hands-on role with real impact, offering the opportunity to shape fraud and financial crime strategy while balancing risk, regulation, and customer experience. Key Responsibilities • Apply advanced analytics to improve financial crime detection and prevention strategies, • Develop, optimise, and maintain fraud / FinCrime detection rules and analytical frameworks, • Build and enhance predictive models to support risk-based decision making, • Support the launch of new products, ensuring appropriate fraud and financial crime controls are in place, • Collaborate with external vendors to assess and implement new tools and capabilities, • Work cross-functionally with Risk, Credit, Operations, and wider business teams, • Translate complex data insights into clear recommendations for technical and non-technical stakeholders, • Contribute to the use of AI and advanced analytics to improve efficiency and decisioning Required Skills & Experience • 5+ years' experience within banking / financial services / financial crime, • Strong SQL and Python skills, with hands-on experience in data analysis and modelling, • Experience developing and optimising fraud / financial crime detection rules, • Exposure to predictive modelling or a clear progression into data science, • Experience working in regulated environments with an understanding of risk and compliance frameworks, • Strong problem-solving skills with high attention to detail, • Track record of working cross-functionally and influencing stakeholders Nice to Have • Combination of vendor + banking / financial services experience, • Experience applying AI / machine learning within fraud or risk environments, • Exposure to fast-paced, high-growth or product-focused businesses What's on Offer • Salary from £70,000+ depending on experience, • Generous benefit package, • Hybrid working - London-based, • Opportunity to join a growing function with real influence on strategy To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Team – Data ScienceWorking Pattern - Hybrid – 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. We are happy to discuss flexible working!Top 3 skills needed for this role: • Expert AI/ML Skills – Strong in both traditional ML and modern LLM/RAG/agentic workflows, • Production Deployment & MLOps – Comfortable shipping scalable AI systems using APIs, microservices, Docker/Kubernetes, and cloud (GCP ideal), • Business Partnering – Able to translate business needs into clear technical requirements and work across teamsWhat this role is all about:At Vitality, data scientists and AI Engineers develop and deploy innovative AI applications spanning the entire value chain of our business, including marketing, sales & retention, underwriting, claims, health and wellness management, customer service, and fraud. The Data Science function is recognised as a core driver of strategic value within the business, with a high-profile and strong support allowing the team to confidently take on and deliver transformational projects.We are seeking highly skilled AI Engineers to join our growing team. You will design, develop, and deploy AI-driven applications leveraging both traditional machine learning and LLM based applications. The role involves building internal and external AI solutions such as Retrieval-Augmented Generation (RAG) systems, chatbots, and voice-based customer service platforms, all deployed on Google Cloud Platform (GCP). You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable, and production-ready AI solutions.Key Actions, • Stay current with advancements in LLM frameworks, agentic SDKs, and cloud-native AI deployment, • Work with the business to gather business requirements for new AI applications, • Design and implement AI applications, • Deploy AI applications into production environments on a Google Cloud Platform, • Collaborate with cross-functional teams to integrate AI applications with Enterprise systems, • Optimise models for performance, scalability, and cost-efficiencyWhat do you need to thrive?, • Demonstrable experience of working with the business to create a detailed set of project requirements, • Strong foundation in traditional machine learning (classification, regression, etc.), • Hands-on experience with LLM-based applications, • Experience building RAG systems and agentic workflows that leverage external tools, • Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.), • Proven track record of deploying AI applications into production environments, • Strong understanding of API development, microservices, and containerization (Docker, Kubernetes), • Knowledge of MLOps best practices, • Excellent problem-solving skills and ability to work in a fast-paced environmentSo, what’s in it for you?, • Bonus Schemes – A bonus that regularly rewards you for your performance, • A pension of up to 12%– We will match your contributions up to 6% of your salary, • Our award-winning Vitality health insurance – With its own set of rewards and benefits, • Life Assurance – Four times annual salaryThese are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities!If you are successful in your application and join us at Vitality, this is our promise to you, we will:, • Help you to be the healthiest you’ve ever been, • Create an environment that embraces you as you are and enables you to be your best self, • Give you flexibility on how, where and when you work, • Help you advance your career by playing you to your strengths, • Give you a voice to help our business grow and make Vitality a great place to be, • Give you the space to try, fail and learn, • Provide a healthy balance of challenge and support, • Recognise and reward you with a competitive salary and amazing benefits, • Be there for you when you need us, • Provide opportunities for you to be a force for good in societyWe commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.About The CompanyWe’re incredibly proud to be recognised for the culture we've created — recently being named one of Glassdoor’s Best Places to Work 2026, and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards. Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We’ve been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives – they benefit, our business benefits, and society benefits. We’re successful because we attract, develop, and retain the best people – and because we care.Diversity & InclusionAt Vitality, we’re committed to diversity and inclusion because it’s good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives.Vitality’s approach to sustainabilityVitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page.

Data Scientist (Contract, GenAI) We’re hiring a Principal Data Scientist to work on cutting-edge Generative AI and LLM-based systems, with a strong focus on the mathematical and analytical side of data science. This role is less about building models from scratch and more about understanding, evaluating, and optimising AI models to ensure accuracy, scalability, and real-world impact. You’ll work with complex unstructured data (documents, images, PDFs) and help design intelligent, production-ready AI solutions. What you’ll be doing • Analysing and optimising AI/ML models (especially LLMs), • Applying statistics, probability, and optimisation techniques, • Designing GenAI workflows, prompts, and agentic pipelines, • Extracting insights from unstructured data, • Leading technical decisions and mentoring others, • Strong background in mathematics, statistics, or similar, • Experience with Python, LLMs, and Generative AI, • Proven ability to evaluate and improve model performance, • Experience with tools like LangChain or LangGraph

Are you looking to benefit from a new career in Software Development? Skills shortages in the IT sector is driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level software development staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge, and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in four simple steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. • HTML Essentials (6 weeks) Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. • Learn the Command Line (1.5 weeks), • Learn Git & GitHub (1.5 weeks), • Learn JavaScript (1.5 weeks) Step 3 - Build a Portfolio Website Project (1 week) Additional Courses • AWS Certified Cloud Practitioner We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Analysts - £60,000 Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. • Microsoft excel - to expert level., • Learn SQL - the programming language used for extracting data from more complex databases., • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories.Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.

Are you looking to benefit from a new career in Web Development? Skills shortages in the IT sector is driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level software development staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge, and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in four simple steps. Step 1 - HTML and CSS Online Training The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. • HTML Essentials, • CSS Essentials Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 - Online Training The second step includes a selection of more advanced courses to get you up to speed. • React-js Step 3 - Build a Portfolio Website Project Additional Courses • AWS Certified Cloud Practitioner We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements · 6+ years in data science / ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.

Location: London - 2 days on site Salary: Up to 67000 + 30 Days Holiday + Performance Bonus Sector: Independent National Standards & Research The Opportunity They are seeking a Lead Data Scientist to join a high-impact Directorate of Data Science and AI at the heart of Great Britain's national infrastructure. This is not a "typical" tech role; you will lead the development of digital products and decision-support tools that directly improve the safety, efficiency, and sustainability of a major national network. As a senior practitioner, you will bridge the gap between technical delivery and senior leadership. You will be the technical heartbeat of the team - ensuring high-quality modelling practices while mentoring junior colleagues and modernising our AI capabilities. The Role * Technical Leadership: Act as a senior hands-on practitioner, leading the delivery of analytical and ML workstreams. * Modernisation: Take an active interest in emerging tools (including Agentic frameworks and Generative AI) to strengthen the team's capability. * Mentorship: Provide technical guidance, code reviews, and coaching to junior scientists to build a culture of excellence. * Operational Excellence: Uphold best practices in coding, documentation, and Reproducible Analytical Pipelines (RAP). * Collaboration: Work closely with subject matter experts and architects to ensure outputs are robust and ready for real-world operational use. Your Profile They are looking for a candidate who values rigour as much as innovation. You likely have a background in the Public Sector, Government (Grade 7 equivalent), or a highly regulated industry. Essential Experience: * End-to-End ML: Proven experience delivering applied data science projects from feature engineering to deployment. * Python Mastery: Expert-level Python skills with a focus on code structure, testing, and version control. * Governance: A deep commitment to reproducibility, model assurance, and secure data workflows. * Agile Delivery: Experience working in iterative, sprint-based environments. * Communication: The ability to tell a story with data to both technical and non-technical stakeholders. Desirable: * Experience deploying models within Azure cloud environments. * Familiarity with Safety-Critical environments (e.g., Transport, Energy, Healthcare). * Experience with agentic frameworks or modern AI orchestration. Why Apply? This organisation is renowned for its commitment to staff wellbeing and professional development. * Work-Life Balance: 30 days annual leave (plus bank holidays), flexible core hours, and hybrid working. * Health & Future: Private medical and dental cover, performance-related bonus, and a highly competitive pension scheme. * Impact: Your work will have a tangible effect on the safety and sustainability of national infrastructure used by millions.

• Have you had a career break of 12+ months?, • Do you have 5+ years of commercial experience, including hands-on experience in Data, Analytics, or related technology roles? Our Returners Programme is specifically designed to support professionals returning to work after a career break. Having restarted over 550 careers since 2016, our Returners Team are here to support you through every stage of the journey, ensuring you have the confidence, skills and opportunity to step back into a successful and rewarding career in business or technology. You’ll be joining FDM as a Consultant within our Data and Analytics Practice, where you will be delivering large-scale projects for our clients across a wide range of sectors and specialist areas. Depending on your background and experience, you could take on the role of: • BI Developer, • Data Engineer, • Data Scientist, • Machine learning Engineer Within the FDM Skills Lab you’ll receive upskilling in: • Business intelligence and advanced analytics, • Diverse data modelling, engineering and warehousing, • Automation and machine learning There are progression opportunities towards Principal Consultant level and the opportunity to explore diverse roles and assignments for a range of global companies in your return to the workforce. Ready to launch the next phase of your career? At FDM, we find driven people from diverse backgrounds. Dedicated to your continuous growth, we offer a non-linear career journey with our Skills Lab helping guide you to the future you want. Your skillsets will grow. Clients will value your increased expertise. And your career will thrive exponentially. Minimum qualifications • Looking to return to work after a break in your career of 12+ months, • At least 5 years of prior commercial industry experience, ideally within data analytics, technology or a related field, • A strong aptitude and interest in business and technology as well as data driven problem solving, • Commitment to at least two years of full-time employment with FDM, • Career coaching, mentoring and access to upskilling throughout your entire FDM career, • Initial upskilling pre-assignment that has been accredited by TechSkills, • Assignments with global companies and opportunities to work abroad Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

Data Scientist – Marketing Effectiveness – £60k–£95k – MMM – AIMMM | Marketing Effectiveness | Data Science | Econometrics | Bayesian | Python | R | SQL | AI | Cloud | Databricks | Azure | London | Hybrid |Do you want to work with a business that is a global leader in Marketing Effectiveness and AI-powered solutions?A business that since 2006 has partnered with international brands across Auto, Beauty, Retail and Financial Services, delivering measurable, real-world impact from data?A genuine opportunity to lead high-impact MMM programmes, influence C-suite decision-making, and work alongside high performers across the globe?An opportunity to join a mission-driven AI and data science consultancy that excels at delivering AI impact at scale, while staying committed to responsible, sustainable and frugal AI. They don’t just build models, they turn insights into action.You’ll work within projects from data strategy sqand collection through to modelling, insight generation and activation, applying econometrics, regression, Bayesian statistics and machine learning to complex marketing and customer datasets.You’ll translate analytics into clear commercial recommendations, build dashboards and visual storytelling tools, and act as the day-to-day client contact, running workshops and senior-level presentations.They’re hiring multiple Data Scientists from mid-level to leadership in their Data Science team, creating clear progression, rapid growth, and genuine opportunities to step into leadership, contribute to thought leadership, and expand existing client accounts.The role offers £60k–£95k base, plus individual and company performance bonus, a hybrid working model (2 days in office), and exposure to global clients and projects across multiple industries.If it ticks those boxes, don't hang about - apply or email me on MMM | Marketing Effectiveness | Data Science | Econometrics | Bayesian | Python | R | SQL | AI | Cloud | Databricks | Azure | London | Hybrid |

Senior Scientist/Manager - RWE/Epidemiology Remote based (UK) A rare opportunity to join a mid-sized, highly scientific, international healthcare consultancy providing a range of innovative services to biopharma industry clients and other health bodies/initiatives such as health equity and inequality focused projects. Combining both traditional and novel analytical approaches with diverse real-world data, including genomic, medical record, claims and patient-reported information, has allowed my client to inform Life Sciences/Pharma company internal decision making as well as submissions and presentations to regulators; health technology assessment authorities and payers; the medical community; and, patient organizations. The Epidemiology team and this position: The RWE/Epidemiology team consists of scientific experts, analysts & data scientists who support/lead study design, methodology development and result interpretation across a broad range of RWE/HEOR studies, for the pharmaceutical industry. The professional in this position will demonstrate a passion for the generation of rigorous and relevant RWE, ensuring delivery of high-quality evidence and outputs. You will independently drive study design, oversee data analysis and interpretation, and lead collaboration with clients and cross-functional teams. This individual will play a key role in advancing the organization’s epidemiologic and real-world data capabilities and supporting high-impact evidence generation for regulatory, clinical, and commercial use. Accountabilities within this role: • Lead and refine epidemiological study designs, addressing complex methodological challenges., • Oversee protocol development, analysis plans, and study reports ensuring clarity and quality., • Interpret results independently and communicate findings effectively to clients and stakeholders., • Apply deep therapeutic and coding expertise to align study design with data needs., • Utilise advanced knowledge of real-world data sources to guide study feasibility and interpretation., • Lead cross-functional teams and mentor junior epidemiologists., • Drive innovation and contribute to scientific thought leadership., • Manage multiple projects, ensuring timely, high-quality deliverables., • Support business development through proposal leadership and client engagement. Ideal profile: • MSc or PhD in Epidemiology/relevant field, • 5+ years of Epidemiological research experience, with substantial RWE focus in consulting, pharmaceutical or biotech settings (previous private sector/consulting experience highly desirable), • Experience working with secondary data, claims, EHRs, etc., • Proven leadership in study design, client interaction, and team management., • Deep expertise in epidemiological methodologies, therapeutic areas, and medical coding., • Strong record of scientific communication, including authorship and presentations., • Excellent interpersonal skills for mentoring, collaboration, and client engagement., • Exceptional organisational skills and attention to detail, • Flexibility to adapt to client project needs and handle competing priorities in a fast-paced workplace Competitive base salary, annual performance bonus and strong benefits package on offer. Don't miss out on this rare opportunity to join a close-knit, people focused company going through an exciting growth phase, becoming one of the leading specialist consulting teams in the RWE/HEOR space. Apply or reach out now for more information -

Data Scientist / Machine Learning Scientist - Outside IR35 Location: London (Hybrid)Length: 6 months Ready to build and deploy real AI systems at scale? Join a growing AI teams, where you'll shape how AI transforms global business. We're hiring hands-on operators who deliver production-ready LLM and agentic solutions-not just prototypes. What You'll Do: • Design and build AI agents and agentic workflows powered by LLMs (retrieval, reasoning, tool orchestration), • Develop multi-step intelligent systems for planning, memory, and real-world tool usage, • Deliver recommendation, classification, and forecasting systems on large-scale datasets, • Automate complex workflows and decision-making, driving measurable business impact, • Own problems end-to-end: from exploration to production deployment and iteration, • Integrate AI into products, APIs, and business processes for scalable, reliable solutions, • Strong Python skills and production-grade coding experience, • Proven track record shipping LLM-powered systems (LangChain/LangGraph or similar) into production, • Hands-on experience with AI agents, agentic workflows, and multi-step reasoning, • Experience designing and implementing RAG systems with real-world impact, • Familiarity with MCP or similar orchestration patterns (FastMCP/FastAPI), • Understanding of LLM limitations and trade-offs (hallucination, latency, cost), • Cloud deployment experience (AWS, GCP, Azure), • Masters or higher in Maths, Science, or Computer Science, • Ownership mindset, bias for action, and strong product focus, • Experience with SaaS/B2B AI products or AI-driven business transformation, • Background in high-growth/scaling environments, • Evidence of systems delivering real value in production Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Data Scientist Location: London (Hybrid - 2-3 days on-site)Salary: £65,000-£75,000 + benefits The Role We are working with a well-established financial services organisation undergoing a significant investment in its data and AI capabilities. They are looking for a hands-on Generative AI Data Scientist to help drive the development and deployment of GenAI solutions across the business. This role is focused on practical application - building and scaling real-world use cases rather than purely research-led initiatives. You will work on a variety of projects, including intelligent automation, document processing, internal copilots, and customer-facing AI tools, leveraging large language models and modern machine learning techniques. While the organisation operates in a regulated environment, they are open to candidates from a range of industry backgrounds, financial services experience is beneficial but not essential. Key Responsibilities • Design, build, and deploy Generative AI solutions using large language models (LLMs), • Develop and optimise prompt engineering strategies for production use cases, • Build end-to-end pipelines (RAG, embeddings, vector search) for scalable GenAI applications, • Work with both structured and unstructured datasets, including text-heavy data, • Collaborate closely with data engineering and software teams to productionise solutions, • Identify high-impact use cases and contribute to the broader AI roadmap, • Ensure solutions align with governance, risk, and compliance standards, • Communicate insights and outputs clearly to both technical and non-technical stakeholdersRequired Skills & Experience, • 3+ years' experience in Data Science / Machine Learning roles, • Strong Python and SQL skills with hands-on experience building models and data pipelines, • Proven experience working with Generative AI (LLMs, prompt engineering, embeddings), • Experience using frameworks such as LangChain, LlamaIndex, or similar, • Experience integrating with model APIs (e.g. OpenAI or open-source alternatives), • Exposure to cloud environments (AWS, GCP or Azure), • Strong problem-solving skills and a pragmatic, delivery-focused mindset, • Ability to work in cross-functional teams within a fast-paced environmentNice to Have, • Experience within financial services or other regulated industries, • Exposure to vector databases (e.g. Pinecone, Weaviate, FAISS), • Experience with MLOps / LLMOps and deploying models into production, • Familiarity with LLM fine-tuning, evaluation, or guardrailing techniques, • Experience building internal tools such as copilots or knowledge assistantsWhat's on Offer, • Salary up to £75,000 depending on experience, • Generous benefits package, • Hybrid working (London-based), • Opportunity to join a well-established business investing heavily in AI, • High-impact role with real ownership and visibility To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

We are seeking a PhD Computer Vision Scientist with deep expertise in object detection, tracking, or related visual perception tasks. You’ll join our world-class research team to design, implement, and optimize algorithms that advance the state of the art in dynamic scene understanding. This role is ideal for a researcher who has already made significant contributions to the field, for example, through publications at top-tier venues such as CVPR, ICCV, or ECCV and is eager to apply that experience in a fast-paced, applied R&D environment. Requirements • PhD in Computer Vision, Machine Learning, Robotics, or a related field., • Strong research background in object detection, tracking, segmentation, or visual understanding, VLM's, VLA's, • Proven record of publications in CVPR, ICCV, ECCV, or comparable conferences., • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow., • 1-3 years industry experience. What We Offer • Competitive salary and equity package., • Access to high-performance computing infrastructure., • Opportunities for publication, collaboration, and attending top-tier conferences., • A collaborative, research-driven environment with a focus on innovation and impact.

Research / Product Development Scientist: Nanotechnology (London Biotech Start-up) I am currently working exclusively with a London based biotech who have developed advanced instrumentation to analyse nanoparticles at the single particle level. With their platform already being used across leading academic and industry labs in Europe and North America, supporting work in areas like drug delivery and nano-formulations, and emerging therapeutic approaches. As adoption grows, my client is looking for a scientist who can bridge research, product development, and real-world application. The Role: This is not a pure lab role. You’ll develop deep expertise in the technology, then apply it working across R&D, product development, and external collaborations. You’ll help shape how the technology is used, improve how it performs, and support users in getting meaningful results. You’ll be working closely with engineers, applications specialists, and external partners so the ability to translate complex science into practical use matters just as much as technical depth. What You’ll Be Doing • Developing expertise in single particle nanoparticle analysis, • Supporting product development and improving how the technology is used, • Creating and refining SOPs for new and existing applications, • Collaborating with engineering and applications teams to improve user experience, • Managing and contributing to external research collaborations, • Presenting work through meetings, seminars, and technical discussions What They’re Looking For • MSc or PhD in Physics, Chemistry, Materials Science, Bioengineering, or similar, • Experience in nanoparticle or nanoformulation characterisation and/or spectroscopy (Raman, IR or related techniques), • Strong problem solving mindset and technical curiosity, • Ability to work across disciplines (science + engineering + users), • Clear communicator able to explain complex concepts simply Nice to Have (Not Essential) • Experience with LNPs, exosomes, extracellular vesicles, or viral vectors, • Experience in nanoformulation or nanoparticle manufacturing, • Broader experience with spectroscopy, microscopy, or analytical techniques Environment • London based biotech start up (lab + office), • Highly collaborative, cross functional team, • Mix of research, product development, and user interaction, • Opportunity to directly influence how a new technology is adopted Additional Info • 4 days per week on site (London), • Right to work in the UK required, • Equal opportunity employer

About the Role: Grade Level (for internal use): 15 The Team The Enterprise Solutions Technology team is dedicated to delivering next-generation, high-scale technology platforms through resilient architecture, data excellence, and engineering innovation. Our mission is to enhance our digital presence and improve customer engagement across various domains, including Lending, Corporate Actions, Tax, Regulatory & Compliance, Regulatory Reporting, Public Markets, and Private Markets portfolio monitoring. Role We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This is a strategy-led and hands-on applied data science and ML engineering role, responsible for defining the AI/ML roadmap for Enterprise Solutions while also building high-rigor analytical and predictive models for anomaly detection, variance analysis, drift detection, market and behavioral signals, forecasting, and prediction. The expectation is production-grade models, comparable in rigor to fraud, risk, or surveillance systems. What's In for you : The role exists to ensure AI/ML strategy is sound and that analytical models are correct, explainable, reliable in production, and able to withstand operational and regulatory scrutiny. You will work closely with engineering, data platform, and product teams to take models from problem definition through to production operation, including feature engineering, back-testing, deployment, monitoring, and ongoing performance management. You will get involved early in complex or high-risk analytical problems and step in when models degrade or fail in production. A key part of the role is knowing when to apply advanced modelling, when simpler approaches are sufficient, and when modelling is not appropriate. You may have limited line management responsibility, but impact is driven primarily through hands-on technical contribution, review, and influence. Responsibilities: • Strong experience delivering applied data science and machine learning in production within banking, capital markets, or similarly regulated, data-intensive environments., • Deep grounding in statistics, machine learning, time-series analysis, and predictive modelling, with experience building models under real operational constraints., • Hands-on ownership of the full model lifecycle: data exploration, feature engineering, model development, back-testing, validation, deployment, monitoring, and ongoing tuning., • Extensive experience working with large, complex, and imperfect datasets, including missing data, outliers, regime changes, noisy labels, and evolving schemas., • Strong understanding of production ML system design, including batch vs real-time inference, model serving patterns, performance trade-offs, and failure modes., • Experience operating models in production over time, including versioning, drift detection, retraining strategies, and incident response when models misbehave., • Practical experience designing explainable models suitable for regulated environments, including feature attribution and model transparency techniques., • Experience combining statistical models, ML, semantic models, and rules-based logic where needed to achieve accuracy, stability, and explainability., • Strong focus on data quality, anomaly detection, and monitoring, including metrics that surface real issues and drive sustained improvement. Experience & Mindset, • 20+ years working with analytics, data science, or ML systems in production, with significant experience in financial services or other regulated, high-availability domains., • Comfortable working directly with data, models, and code, and collaborating closely with software engineers and platform teams., • Pragmatic and outcome-driven; measures success by models that run reliably in production, adapt to changing conditions, and withstand scrutiny., • Clear communicator who can explain modelling choices, assumptions, and limitations to engineers, product partners, and senior stakeholders., • Acts as a technical mentor to other data scientists through review, pairing, and example, limited people management where appropriate. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: • Health & Wellness: Health care coverage designed for the mind and body., • Flexible Downtime: Generous time off helps keep you energized for your time on., • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills., • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs., • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:" "and your request will be forwarded to the appropriate person." US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf " describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH102 - Senior Management (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • PhD computational chemistry or equivalent, • Drug discovery experience (5y+), • Hands on ADMET or Structural Biology modelling experience (broad scope), • Hands on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space., • Strong understanding of OpenFold, AlphaFold, Boltz and co-folding, • Confidence in building silico models, • Excellent communicator and connecting stakeholders excellent planning capabilities for experimental planning and execution, • Experience in working in consortium is a plus Remuneration for the Principal Machine Learning Scientist ADMET / Structural Biology • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

About Hyfe Hyfe's AI-powered cough biomarker is becoming the standard for objective measurement in clinical trials. We work with top-10 pharma, innovative biotechs, and leading academic researchers, and and we're growing fast. Cough is one of the most underleveraged signals in medicine. We're changing that. The Role This is a senior, relationship-driven BD role at the heart of Hyfe’s commercial growth. You will identify, pursue, and build long-term partnerships with pharma sponsors running clinical trials, through a mix of outreach, conference presence, KOL introductions, and referrals from our existing partner network. This is a revenue-generating role, focused on signing new contracts with partners. You will also manage and mentor our Research Partnerships Associate, bringing structure and scalability to a BD function that is already working well and ready to grow. This role requires persistence, scientific curiosity, and the ability to earn trust with expert audiences over a long horizon. You will know when to talk, when to listen, and when to draw on Hyfe’s deep bench of medical, AI, and data experts. What You'll Do • Own the BD pipeline from outreach to signed deal — managing relationships, timelines, and next steps across multiple opportunities simultaneously, • Own and be accountable for ambitious revenue targets., • Build and maintain strong relationships with pharma sponsors, CROs, and clinical operations teams evaluating cough as a digital endpoint, • Work closely with Hyfe’s medical, AI, and data experts to translate technical capabilities into compelling proposals, and know when to bring them into conversations directly, • Design and implement a scalable BD process: pipeline management in HubSpot, structured follow-up cadences, opportunity qualification, and reporting to the CEO, • Manage the Research Partnerships Associate, • Represent Hyfe at key scientific and industry conferences globally; lead structured follow-up, • Feed market and competitive intelligence back into the product and science teams, • Provide input to Hyfe´s stellar marketing team on customer pain points and feedback What We're Looking For Required • Highly motivated, collaborative, always eager to learn, • 5+ years in a BD, partnerships, or commercial role involving complex, long-cycle relationships, ideally in digital health, clinical technology, CRO, or pharma services, • A track record of hitting or exceeding revenue targets in a long-cycle B2B environment, • Demonstrated ability to manage relationships with scientific or clinical buyers. You don’t need to be a scientist, but you need to be credible in the room, • Experience owning a pipeline end-to-end: from first conversation through to signed agreement, • Structured and organised, with strong CRM discipline and a track record of keeping momentum on slow-moving deals, • Excellent written and verbal communication in English; comfortable presenting to senior stakeholders and making/ adapting presentations, • Willing to travel globally a few times a year for meetings and conferences Nice to Have • Experience selling or partnering with pharma sponsors on clinical trial technology, digital biomarkers, or eClinical solutions, • Familiarity with clinical trial design, regulatory frameworks, or digital endpoints, • Experience managing or mentoring junior commercial team members, • Additional European language What To Expect • Salary: €80,000 base + bonus + equity (to discuss depending on experience), • Fully remote within CET / GMT timezones, • Reports directly to the CEO; works closely with the Chief Medical Officer, • Manage and grow a small BD team, • Budget for home work setup, • Hard-working, low-ego colleagues who take the business and science seriously, • A commercial function that is already generating results - your job is to build on it, not start from scratch How To Apply We’re using LinkedIn Easy Apply. Please ensure your profile clearly shows your background in BD or partnerships, the types of organisations you’ve sold to or partnered with, and any experience in clinical research, digital health, or pharma-adjacent sectors.

💼 𝐑𝐨𝐥𝐞 - Research ML Engineer 📌 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧 - London, 2 days per week 💸 𝐒𝐚𝐥𝐚𝐫𝐲 - up to £160K plus equity 🏢 𝐃𝐨𝐦𝐚𝐢𝐧 - Developer Tooling I'm working with a start-up who are building fully autonomous coding agents, their product can understand systems context and, with minimal human input, write code. They are in the process of raising their Series A and are a team of 20 with experience from companies like; Google DeepMind, Spotify, Sourcegraph & Meta. What We Are Looking For • 5+ years of industry or academic experience as a Machine Learning Engineer, Applied Scientist, or Research Scientist., • Search & Retrieval: Deep experience designing and scaling state-of-the-art systems (e.g., multi-stage retrieval, dense retrieval, novel indexing)., • Reinforcement Learning & Reasoning: Deep expertise in applying RL to complex tasks, agent-based modeling, or automated planning.

Do you want to build predictive models that explain real-world patient behaviour at population scale? Have you worked with Python and Databricks to develop and optimise production ML systems? Are you ready to join a fast-moving AI team where you can shape a core data product? About the company We’re partnering with a fast-growing, London-based behavioural healthcare AI company building large-scale data products to understand what drives patient behaviour. Their core platform combines behavioural science and machine learning to deliver insights used by pharmaceutical organisations across clinical trials and commercial strategy. The team is ~40 globally, operating in a highly collaborative, startup environment with strong technical leadership and real-world impact. The role They’re hiring a Senior Data Scientist to work on their flagship product, focused on predicting patient behaviour at scale. You’ll play a key role in developing and optimising machine learning models, integrating new datasets, and ensuring models are robust, explainable, and production-ready. This is a hands-on role with real ownership, working closely with engineers, behavioural scientists, and product teams. Key responsibilities • Build and optimise predictive ML models using Python and Databricks, • Lead development of scalable modelling pipelines and data workflows, • Integrate new data sources (including behavioural and geospatial data), • Validate models for performance, fairness, and real-world applicability, • Collaborate with product and engineering teams to deliver production-ready solutions, • Contribute to LLM-assisted development workflows Key details • Salary: £80k–£95k base, • Bonus: ~10%, • Equity: ISOs included, • Working model: Hybrid (2 days/week in Holborn – Mon & Thu), • Tech stack: Python, Databricks, ML pipelines, LLM-assisted coding, • Visa sponsorship: Not available Interested? Please apply below.

Data Scientist – FinTech | London | £60–85k I’m working with a high‑growth FinTech in London that’s building out their data function to support smarter, data‑driven lending decisions. They’ve been scaling quickly and are now looking for someone to work closely with the C Suite to model and price loans in a more predictive, evidence‑based way. You’ll be joining a small but sharp team with a BI Analyst and a wider tech group (frontend, backend, and product). This is a rare chance to join a company with a blank slate for Data and be the person that shapes the strategy and research the models you think are best fit. What You'll Do • Take ownership of the data that underpins lending and pricing decisions., • Build and refine the underwriting scorecard, working out the right weightings and using expert judgement backed by data., • Develop predictive and analytical models to identify the leading indicators of default and credit performance., • Analyse historic customer data and uncover the signals that predict repayment behaviour., • Back test models, iterate, and automate model building over time., • Visualise and communicate insights clearly to the executive team. What They’re Looking For • Strong statistical and mathematical background, • Confident sourcing, cleaning, and manipulating data independently (Python, SQL, BigQuery)., • Excellent with Power BI or similar for dashboarding and storytelling., • Experience building predictive models from scratch, • Someone curious, analytical, and genuinely passionate about digging into data to solve business problems., • STEM degree

A globally recognised, high-growth consumer brand is looking for a Commercial AI & Data Lead to build and own its next-generation agentic AI framework across commercial and sales functions. This is not a strategy role. This is a build role. You’ll design and deploy production-grade AI systems that directly impact revenue, performance, and decision-making - working at the intersection of AI engineering and commercial strategy. The Mission Design and scale a commercial agent ecosystem, enabling smarter, faster decision-making across multiple domains. Tech Stack Snowflake | Python | OpenAI/Claude APIs | LangGraph/CrewAI | dbt | SQL What we’re looking for • Experience building production AI / multi-agent systems (LangChain, LangGraph, CrewAI, AutoGen, etc.), • Strong Python engineering skills (clean, production-grade code), • Hands-on experience with cloud data platforms (Snowflake preferred), • Ability to translate complex AI systems into clear commercial impact, • 4–9 years’ experience as a hands-on builder (not a pure manager) Nice to have • FMCG / retail / commercial analytics experience (NIQ/Circana a plus), • dbt / semantic layer design, • MLOps, evaluation & observability tooling, • Background in consulting or data science roles, now looking to own a product end-to-end Why this role is different • Build real systems, not decks, • Own the architecture, not just execution, • Work directly with commercial leaders, • Join a brand known for innovation, pace, and cultural impact If you’re an AI engineer or data scientist who wants to move from projects → product ownership, this is your role. Central London based - Hybrid £90k base + significant bonus & benefits package

Data Scientist / Applied AI – Fintech Lending London / Hybrid We’re working with an exciting London-based fintech lender looking to hire a commercially minded Data Scientist / Applied AI professional to help turn a strong data foundation into real business insight, better decision-making and smarter internal processes. This is a brilliant opportunity for someone who enjoys solving real business problems with data, rather than sitting purely in a research-led environment. You’ll work closely with senior leadership, helping shape how data science and AI can support pricing, customer understanding, process improvement and internal efficiency across the business. The business has already built strong core data foundations and is now looking for someone who can take that further — identifying opportunities, building solutions and delivering practical value. The role will involve: • Using data to improve commercial decision-making, • Supporting pricing analysis and helping the business better understand customer value, • Building insight-driven solutions around customer behaviour and performance, • Identifying opportunities to improve internal processes through data and AI, • Leveraging both traditional data science techniques and newer AI tools/workflows where appropriate, • Working closely with the CTO, CEO and Head of Operations on business-critical problems, • Taking ownership of problems from idea through to solution What they’re looking for: • Around 3–5 years of commercial experience in Data Science / Applied AI / advanced analytics, • Strong Python skills, • Solid grounding in traditional data science and statistical thinking, • Experience working with modern data environments / warehouses, • Ability to work independently and operate as a genuine self-starter, • Strong communication skills and the ability to engage with senior stakeholders, • Commercial mindset — someone who enjoys solving business problems, not just technical ones, • Fintech, lending, credit, risk or broader financial services experience would be highly beneficial Ideal profile: This role would suit someone who is likely in their second or third move and has already built strong hands-on experience in a commercial environment. The ideal person will be technically strong, curious, pragmatic and excited by the chance to shape how data science and AI are used in a growing fintech business. Why this role? • Opportunity to work directly with senior leadership, • Chance to help define and build the data science capability in a scaling business, • Real ownership and visibility, • Strong blend of commercial impact, technical challenge and autonomy, • Opportunity to work on meaningful problems in a data-rich fintech environment If this sounds of interest, please apply or get in touch directly for a confidential conversation.

Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Hands-on experience with co-folding and structure-based models., • Deep knowledge of federated learning and the nuances of privacy risk in distributed environments., • You build experiments to prove (or disprove) privacy claims using quantitative and qualitative data., • You own the "messy" problems and can explain the why behind technical risks to non-technical leaders., • A strong publication record in ML or Computational Biology., • Experience working within industry consortia or complex partnerships., • Past success influencing industry standards or regulatory privacy positions. Remuneration for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for an Applied Scientist II to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data., • Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

Do you want to build AI systems that let users query complex datasets in natural language? Have you worked with machine learning models and wondered how they can power conversational analytics? Are you ready to apply LLMs and advanced analytics to financial market data? A London-based AI software company is developing conversational analytics platforms that allow organisations to interact with complex datasets through natural language. Their technology combines traditional NLP systems with modern LLM capabilities to create intelligent data assistants and private enterprise language models. The company is expanding its data science team to support the next stage of product development, including financial data tools designed for organisations operating around the London Stock Exchange ecosystem. This Senior Data Scientist role sits within a small, highly technical team building the core models powering these products. You will work on machine learning systems that drive conversational analytics, experimentation pipelines, and domain-specific models for financial data. Key Responsibilities • Build and optimise machine learning models for conversational analytics products, • Develop LLM-driven systems including fine-tuning and prompt pipelines, • Apply statistical modelling and quantitative analysis to financial datasets, • Conduct feature engineering, model evaluation, and experimentation, • Work with engineering teams to integrate models into AWS-based platforms, • Support development of AI systems used by quantitative and financial users Key Details • Salary: £65,000 – £70,000, • Working model: Hybrid, 1 day per week in Canary Wharf, London, • Tech stack: Python, ML algorithms, NLP, LLMs, AWS, • Visa sponsorship: Not confirmed Interested? Please apply below.

Data Scientist (Sports Analytics | Football Focus) We’re excited to be partnering with a new client – a rapidly growing sports data consultancy that is extending its Data Science team. This is a fantastic opportunity to join a business at the cutting edge of football analytics, where raw data is transformed into actionable insights that drive smarter, evidence-based decisions for clubs, organisations, and partners. With a clear focus on football, you’ll be delivering innovative data science solutions that support performance analysis, recruitment, and strategic planning. The team combines technical excellence with a genuine passion for the game, ensuring insights are both rigorous and impactful. If you’re someone who loves football and wants to push the boundaries of how data can shape the sport’s future, this is the role for you. Key Responsibilities • Apply advanced data science techniques to analyse football data and uncover insights on performance and tactics., • Build models and frameworks to profile teams and players – identifying styles of play, strengths, and weaknesses., • Develop new metrics to evaluate players (e.g. efficiency in ball retention, progressive passing, duel outcomes under pressure)., • Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes • Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling., • Industry experience in a data science role focussing on sports analytics., • Knowledge of advanced football metrics (possession value models highly desirable)., • A deep passion for football combined with analytical rigour and strong communication skills for club-facing work. Location: London with hybrid working available Type: Permanent Benefits: Large bonus potential, pension, private medical and free onsite gym. Impact: Work directly with clubs and partners to shape data-driven decision-making in football. Interested? This is a unique chance to join an ambitious consultancy and make your mark in sports data science. If you’d like to know more, get in touch today to discuss this new client opportunity!

About the Role Broadlab is hiring a Senior Applied Data Scientist – Measurement & Insights to lead how we interpret and communicate campaign performance across our outcome-based CTV platform. This is a high-impact, senior role focused on turning complex measurement data into clear, commercially actionable insight. You’ll work at the intersection of data science, client strategy, and campaign optimisation; owning advanced analysis and elevating how we understand and explain performance. You’ll also help embed best-in-class measurement thinking across the business and leverage AI-enabled analytical workflows to accelerate insight generation. What You’ll Do Measurement & Incrementality Leadership • Lead analysis and selection of key measurement solutions, • Lead & develop advanced analyses (incrementality, lift studies, geo experiments, causal inference), • Apply methods such as Difference-in-Differences and propensity score matching, • Interpret brand uplift, conversion, and ID graph data, • Translate statistical outputs into clear, executive-ready insights, • Lead post-campaign analysis and client-facing narratives, • Develop repeatable analysis frameworks and playbooks, • Standardise insight delivery across campaigns, • Mentor and train Optimisation teams on:, • Statistical thinking, • Experimental design, • Measurement interpretation, • Build models to explain:, • Geo-level performance variation, • Audience and creative effects, • Frequency and saturation dynamics, • Use tools like ChatGPT, Claude, Copilot to accelerate analysis and insight generation, • Explore automation and AI-assisted measurement workflows What We’re Looking For Core Experience • 5–8+ years in applied data science, • Strong grounding in causal inference & experimentation, • Experience with media, campaign measurement, or advertising data, • Advanced Python & SQL, • Experience with large-scale event/log-level datasets, • Ability to translate complex analysis into business insight, • Comfortable using AI tools in modern data workflows Nice to Have • CTV / programmatic / performance marketing experience, • Incrementality testing & geo experiments, • ID graphs / enriched consumer datasets, • Cloud environments (AWS, Snowflake), • Campaign insights are deeper, more rigorous, and more commercially impactful, • Clients recognise our measurement capability as a key differentiator, • Optimisation teams become more analytically confident, • Repeatable frameworks scale across campaigns Why Join Broadlab? Our edge comes from connecting advanced measurement to real business outcomes. This role is central to that mission by ensuring our data isn’t just analysed, but understood, trusted, and acted upon.

Description Haver Analytics is the premier provider of time series data for the global strategy, research and quant communities. We deliver primary-sourced databases, a wealth of key survey and forecast data from our industry partners, and a robust offering of archive databases that drive machine learning for big data applications. We continuously display up-to-the-minute data from over 2500 government and private sources via integration with Microsoft Office and all leading statistical packages through our DLX® software and platform-independent HaverView(TM). We pride ourselves on the quality of the data and ease of access, as well as the speed at which it is updated and supported. Founded in 1978, Haver is headquartered in New York City with offices in London, Singapore and Tokyo. Job description Haver Analytics seeks an Account Representative as part of our expanding Account Management team to join our growing team of consulting support professionals. Haver provides professional services to the community of economists, data scientist, strategists and risk managers within the corporate marketplace and public sector. This is an exciting opportunity for anyone interested in learning the business of professional big data analytics, risk management and economic research. The Account Representative position is full time and will be based in our London office. Minimum qualification for the position is an undergraduate degree in Economics, Finance or a related discipline with fluency in French or another European Language to support our growing client base across Europe. Candidates should have the flexibility to travel internationally. The Haver London office is a growing field office supporting a diverse set of clients including central banks, buy side/sell side and large non-financial corporations. Key Responsibilities Support and promote adoption of Haver’s services: • Providing on-line and on-site training on Haver Analytics software, • Applying a consultative approach to training and become an expert in “knowing your audience”, • Supporting the account management team to identify opportunities within the existing client base and assisting with onboarding new clients, • Communicating effectively new software and data developments from Haver., • Managing and facilitating occasional project work in platforms such as Excel, • Attending trade shows and sales related events Requirements • Bachelor’s degree in economics, Finance or related discipline., • Fluency in English and either French or German, • Strong written and verbal communication., • Ability and willingness to travel internationally, • Exposure to statistical platforms such as Python and R (desirable though full training provided), • Previous experience in a customer service industry (desirable) Job Benefits • Hybrid/Flexible Working (3 days in office), • Central London location, • Support for on-going training and education both internally and externally, • Competitive salary and generous commission-based activity plan, • Private Health Insurance, • Company Phone

Senior Data Scientist 🚀 Series A Tech Start-Up 🚀 💸£90k - £122k plus equity & benefits 📍London, Hybrid ✅Innovative, collaborative culture, business driven by AI ✅Inspiring leader, passionate about this disruptive proposition with strong green impact ✅Chance to own shares in a scaling organisation, drive towards exit and IPO Omnis Partners are exclusively partnered with an innovative start-up that is transforming e-commerce through AI-driven solutions. With significant funding and ambitious expansion plans, they are now hiring exceptional talent to build out their Data Science team. Founded by industry experts, this fast-scaling London-based company leverages machine learning software for e-commerce, reducing costs and enhancing efficiency. Backed by significant funding, they are rapidly expanding their infrastructure and AI-driven platform. You will operate as part of a highly collaborative, innovative team to deliver data science solutions, under the leadership and guidance of an inspiring thought leader, in your Data Science Director. We are hiring for an experienced generalist Senior Data Scientist with strong modelling capabilities, particularly forecasting and timeseries analysis, amongst a broader data science skill set built to predict demand, but optimise how a complex system runs. You will be joining a high-calibre team, with significant opportunities for career development in a hyper-growth, AI-driven business. If you thrive in high-performing teams and want to make a meaningful impact in a disruptive tech-driven company, we’d love to hear from you. Experience Required: • Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc., • Strong programming skills with Python, building algorithms and models, and working with large, messy, complex data sets to model optimised process and performance., • A deep background in applied data science within a commercial context, comfortable with fast paced, rapid growth culture., • Experience of working in a client or business-facing environment, demonstrable skills in building trust and commercial discourse around leveraging ML and AI to solve real-world business problems., • A proactive mindset, intellectual curiosity, and the ability to thrive in a fast-changing environment.

Job Description: Senior AI Scientist (DV‑Cleared) Location: UK (On‑site, Secure Environment) Clearance: DV Clearable Required Contract: Inside IR35 Start Date: In several months (ideal for candidates completing other engagements) About the Role We are seeking an experienced Senior AI Scientist to support a high‑impact programme within a major UK government department. This role is focused on the development and evaluation of advanced AI systems, with a particular emphasis on Large Language Models (LLMs), agentic workflows, and modern generative AI techniques. You will work in a secure environment, applying cutting‑edge AI methods to complex operational challenges, while influencing the direction of AI adoption within the organisation. This is an excellent opportunity for a senior practitioner who can combine technical depth, research‑grade thinking, and hands‑on engineering—operating with a high degree of independence and responsibility. Key Responsibilities • Lead the design, development, and optimisation of AI models, including transformer‑based architectures and LLM‑driven systems., • Build and assess agentic AI workflows, retrieval‑augmented pipelines, and advanced evaluation frameworks., • Conduct rigorous model benchmarking, statistical analysis, and robustness testing to ensure scientific integrity., • Contribute to the organisation’s broader AI capability growth, best practices, and technical governance. Essential Experience • Must be DV Clearable, • Strong expertise in LLMs, generative AI, and transformer models., • Hands‑on experience with agentic workflows, modern AI toolchains, and evaluation methodologies., • Deep understanding of machine learning, statistical modelling, and optimisation techniques., • Strong programming skills (Python preferred) and experience with modern AI/ML frameworks., • Proven experience delivering AI solutions in complex or high‑security environments. Desirable Skills • Experience with MLOps, LLMOps, or production‑grade AI deployments., • Knowledge of vector databases, RAG, and prompt engineering techniques., • Exposure to government, defence, or national security domains. Who This Role Suits • A senior‑level AI/ML specialist who wants to apply cutting‑edge AI in meaningful real‑world contexts., • An expert comfortable taking LLM‑based projects from concept through evaluation to delivery., • Contractors seeking a forward‑planned assignment with a delayed start date.

Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • PhD computational chemistry or equivalent, • Drug discovery experience (5y+), • Hands on ADMET or Structural Biology modelling experience (broad scope), • Hands on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space., • Strong understanding of OpenFold, AlphaFold, Boltz and co-folding, • Confidence in building silico models, • Excellent communicator and connecting stakeholders excellent planning capabilities for experimental planning and execution, • Experience in working in consortium is a plus Remuneration for the Principal Machine Learning Scientist ADMET / Structural Biology • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

Lead Data Scientist Up to £125,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: • Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn, • Evaluate and optimise all models, identifying areas for development, • Work end-to-end both building and deploying models, • Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements, • Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value., • Remaining technically very hands on whilst mentoring Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

Do you want to build a behavioural intelligence product using US population-scale data Have you worked with survey + digital behavioural signals and want to turn that into a scalable data product? Are you a bold, product-minded Behavioural Scientist ready for a genuine R&D mandate? We’re partnering with a fast-growing behavioural healthcare analytics business (~40 people) with teams across Washington DC, London and Delhi. They sit at the intersection of behavioural science and data science, helping organisations understand what drives real-world healthcare behaviour (e.g. vaccine uptake, medication adherence, clinical trial participation) through large-scale datasets, modelling and insight products. This is a builder culture where curiosity, creativity and strong scientific thinking are genuinely valued. They’re hiring a Senior Behavioural Data Scientist to join a product/R&D team focused on the US market. You’ll work on high-impact research programmes translating behavioural datasets into usable benchmarks and recommendations for healthcare stakeholders. Up to £95k base + 10%+ bonus. Key responsibilities • Lead R&D projects focused on drivers of US healthcare behaviour at scale, • Design and run behavioural measurement approaches (survey + digital signals), • Build statistical and predictive models (regression, segmentation, behavioural modelling), • Translate findings into benchmarks, insights and recommendations, • Partner with PM/DE to productise outputs into a robust data product, • Collaborate on evaluating and onboarding new data sources Requirements • PhD (minimum requirement), • Strong academic background (Russell Group / top universities), • 2+ years post-PhD industry experience, • Strong behavioural science grounding (intersection of behaviour + data), • Experience with survey data and/or digital behaviour signals, • Ability to code in Python and/or R, • Proactive, creative, willing to take ownership (not risk-averse) Nice-to-have • Healthcare domain exposure, • Consumer behaviour analytics background (e.g. retail, marketplaces), • Behavioural / political consultancy experience, • SQL Tech stack • Python and/or R, • Databricks, • SQL beneficial but not essential Location / working model • Remote-first model, • Central London (2 days a week), • Current cadence may be 1x per month / 1x per quarter, but expectations will increase as the London office builds, • WeWork access provided when required (as many days in as preferred), • Occasional travel may be required Interested? Apply below.

About the Role Broadlab is hiring a Senior Applied Data Scientist – Measurement & Insights to lead how we interpret and communicate campaign performance across our outcome-based CTV platform. This is a high-impact, senior role focused on turning complex measurement data into clear, commercially actionable insight. You’ll work at the intersection of data science, client strategy, and campaign optimisation; owning advanced analysis and elevating how we understand and explain performance. You’ll also help embed best-in-class measurement thinking across the business and leverage AI-enabled analytical workflows to accelerate insight generation. What You’ll Do Measurement & Incrementality Leadership • Lead analysis and selection of key measurement solutions, • Lead & develop advanced analyses (incrementality, lift studies, geo experiments, causal inference), • Apply methods such as Difference-in-Differences and propensity score matching, • Interpret brand uplift, conversion, and ID graph data, • Translate statistical outputs into clear, executive-ready insights, • Lead post-campaign analysis and client-facing narratives, • Develop repeatable analysis frameworks and playbooks, • Standardise insight delivery across campaigns, • Mentor and train Optimisation teams on:, • Statistical thinking, • Experimental design, • Measurement interpretation, • Build models to explain:, • Geo-level performance variation, • Audience and creative effects, • Frequency and saturation dynamics, • Use tools like ChatGPT, Claude, Copilot to accelerate analysis and insight generation, • Explore automation and AI-assisted measurement workflows What We’re Looking For Core Experience • 5–8+ years in applied data science, • Strong grounding in causal inference & experimentation, • Experience with media, campaign measurement, or advertising data, • Advanced Python & SQL, • Experience with large-scale event/log-level datasets, • Ability to translate complex analysis into business insight, • Comfortable using AI tools in modern data workflows Nice to Have • CTV / programmatic / performance marketing experience, • Incrementality testing & geo experiments, • ID graphs / enriched consumer datasets, • Cloud environments (AWS, Snowflake), • Campaign insights are deeper, more rigorous, and more commercially impactful, • Clients recognise our measurement capability as a key differentiator, • Optimisation teams become more analytically confident, • Repeatable frameworks scale across campaigns Why Join Broadlab? Our edge comes from connecting advanced measurement to real business outcomes. This role is central to that mission by ensuring our data isn’t just analysed, but understood, trusted, and acted upon.

My client is looking for a data science take ownership of pricing analysis and model development, helping to drive data-led decisions and shape the future of their Home product. The Role - • Deliver high-quality pricing and data analysis with clear recommendations, • Support rating decisions and pricing strategy, • Translate complex data into commercial insights for stakeholders, • Balance technical rigour with speed and business impact, • Collaborate with data and MI teams to enhance reporting and analytics The Candidate - • Experience in personal lines pricing (Home insurance is desirable), • Strong analytical skills with Python and/or SQL, • Understanding of statistical modelling / machine learning, • Commercial, proactive, and able to work at pace, • Degree in a numerate discipline (or equivalent experience) Location - London or Liverpool Salary - Up to £65,000 If you're looking for a new challenge then please reach out via email -

A fast-growing London-based fintech is hiring a Data Scientist to help build and enhance machine learning models across credit, fraud and pricing. The opportunity • Build and improve ML models for decisioning and analytics, • Support model deployment and performance monitoring, • Partner with stakeholders to deliver data-driven insights, • Support the development and implementation to the company's wider AI roadmap Your background • c.1-2 years of experience in Data Science within financial services or fintech, • Strong Python and SQL skills, • Experience applying machine learning in a commercial environment, • Ability to communicate insights clearly to non-technical stakeholders, • Ideally exposure to modelling in credit, fraud or pricing.

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and deploy data models that power decision-making across every area of the club — from strategy, tactics, recruitment, and performance, to pre- and post-match analysis. You'll also play a key role in supporting the club’s commercial operations, including e-commerce and fan engagement. If you're passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities • Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights, • Collect, clean, and process football-related data from diverse sources, • Build clear, compelling visualizations and deliver insights to both technical and non-technical stakeholders, • Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions, • Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background • 3+ years of industry experience as a Data Scientist, plus a strong academic foundation, • Python Data Science Stack: Advanced proficiency in Python, including Pandas, NumPy and scikit-learn., • Statistical & Machine Learning Modelling: Experience with a variety of ML techniques (regression, classification, clustering, time-series forecasting), • Experience with deep learning frameworks such as Keras or PyTorch, • Model Deployment: Proven ability to productionise models, including building and deploying APIs, • Strong visualization and communication skills, with the ability to translate complex technical findings into actionable insights for coaches, analysts, and execs Highly Desirable Skills • Football Analytics Experience: Familiarity with football-specific datasets (event, tracking, positional), and libraries like mplsoccer, • Advanced MLOps & Modelling: Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation, tactical modelling, etc., • Bayesian Modelling: Knowledge of probabilistic programming (e.g., PyMC) for uncertainty-aware predictions, • Stakeholder Collaboration: Demonstrated ability to work directly with stakeholders to scope, iterate, and deliver impactful solutions in fast-moving environments What They Offer • A chance to work on real-world data that impacts elite football performance, • Access to high-value datasets, sports science teams, and cross-disciplinary experts, • A flexible hybrid working model (1 day per month in the London office), • The opportunity to grow within a digital-first team at a world-renowned football club, • The satisfaction of applying your engineering skills in an environment where your work directly influences results on the pitch

Do you want to build ML and LLM products that directly impact revenue at scale? Have you taken ML models from idea to production in a fast-paced environment? Are you ready to own 0-1 AI capabilities in a high-growth SaaS business? A fast-scaling, VC-backed SaaS company is building advanced machine learning systems to detect and prevent invalid traffic and ad fraud. Operating at massive data scale, they sit at the intersection of ML, data engineering, and adversarial systems. Data science is central to their product innovation, with a strong focus on real-world impact over research. This is a Senior Applied Scientist role focused on building new AI-driven product capabilities end-to-end. You will prototype, validate, and productionise ML and LLM-based solutions that directly improve customer outcomes. Key Responsibilities • Own 0-1 ML product development from prototype to production, • Build and scale LLM systems (RAG, agents, NLP), • Translate product needs into experiments, MVPs, and production features, • Collaborate with Engineering and Product to ship solutions, • Work with large-scale cloud datasets to drive insights and models, • Apply ML techniques pragmatically for business impact Key Details • Salary: £70k–£90k + benefits, • Working model: Hybrid (2 days onsite, London or Manchester), • Tech stack: Python, SQL, LLMs, AWS/GCP (SageMaker, Bedrock, etc.), • Visa: Cannot sponsor Interested? Please apply below.

Leading pharmaceutical client now requires a Senior Data Scientist to drive marketing effectiveness via marketing mix modelling and other models. This role will oversee data collection, extraction, manipulation, analysis and validation ensuring data is ready for modelling. You will work closely with the Data Science team to build base models according to project specifications and ensure the robustness and validity of those models. Requirements: • Strong experience developing and implementing marketing mix models., • Expert in Python and previous experience with R programming and ideally with MMM models., • Strong experience with Pymc is essential., • Experience with Regression based models in an MMM context., • Strong understanding of statistical modelling/Machine Learning techniques., • Experience with probabilistic programming and Bayesian methods, • Good working knowledge of cloud-based data science frameworks. This is a 6 month contract position which provides a daily rate of £688 (Inside IR35). In terms of working structure, this role is hybrid with one day per week in their London office and the rest remote.

Do you want to build predictive models that explain real-world patient behaviour at population scale? Have you worked with Python and Databricks to develop and optimise production ML systems? Are you ready to join a fast-moving AI team where you can shape a core data product? About the company We’re partnering with a fast-growing, London-based behavioural healthcare AI company building large-scale data products to understand what drives patient behaviour. Their core platform combines behavioural science and machine learning to deliver insights used by pharmaceutical organisations across clinical trials and commercial strategy. The team is ~40 globally, operating in a highly collaborative, startup environment with strong technical leadership and real-world impact. The role They’re hiring a Senior Data Scientist to work on their flagship product, focused on predicting patient behaviour at scale. You’ll play a key role in developing and optimising machine learning models, integrating new datasets, and ensuring models are robust, explainable, and production-ready. This is a hands-on role with real ownership, working closely with engineers, behavioural scientists, and product teams. Key responsibilities • Build and optimise predictive ML models using Python and Databricks, • Lead development of scalable modelling pipelines and data workflows, • Integrate new data sources (including behavioural and geospatial data), • Validate models for performance, fairness, and real-world applicability, • Collaborate with product and engineering teams to deliver production-ready solutions, • Contribute to LLM-assisted development workflows Key details • Salary: £85k–£95k base, • Bonus: ~10%, • Equity: ISOs included, • Working model: Hybrid (2 days/week in Holborn – Mon & Thu), • Tech stack: Python, Databricks, ML pipelines, LLM-assisted coding, • Visa sponsorship: Not available Interested? Please apply below.

Senior Data Scientist – Core Products About the business: At Cirium, our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling financial institutions, aircraft manufacturers, tech giants, airlines, airports, travel companies, and many more accelerate their own digital transformation. You can learn more about Cirium at the link below. About the Team: Data Science Core is a key pillar of the Data Organisation. By leveraging the latest advancements in AI and ML, the team paves the way for the future of the business, providing new predictive insights for our products, and new ways of working for our internal teams through AI workflows. Our projects are wide ranging, touching every part of Cirium. Our environment supports autonomy, learning, and inclusive collaboration, with an emphasis on delivery at pace. About the Role: The Senior Data Scientist will work closely with both our client-facing and Product teams to enhance our analytical capabilities in support of scalable, customer-led solutions. This position emphasizes rapid prototyping of models and workflows, promoting agile iteration and continual improvement. Effective communication with stakeholders is essential, ensuring that business requirements are clearly translated into technical solutions. The role also includes developing reusable frameworks for emerging use cases and contributing to the advancement of our data science expertise and capabilities. Responsibilities: • Hands-On Development - Apply expertise in statistics, machine learning, and AI to build efficient analytics workflows for internal teams and customers, using an iterative approach., • Mentorship - Act as a technical leader and mentor for junior data scientists, supporting skills development and best practices., • Collaboration - Partner closely with Product, Engineering, and Data teams to ensure solutions are scalable, reliable, and aligned to Cirium’s strategy., • Communication & Business Application - Communicate complex analytical concepts clearly to non‑technical stakeholders, including senior leadership, focusing on business outcomes., • AI Adoption - Drive changes in company practices through AI adoption, acting as a key enabler in leveraging AI across teams., • Leadership & Ownership - Take initiative and lead projects, delegate tasks as needed and engage regularly with stakeholders to enable high-value initiatives and ensure continued alignment. Requirements: • Experience working as a data scientist in a commercial setting, with a proven track record of delivering commercial value through data science initiatives., • Excellent Python and SQL skills., • Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production., • Data engineering skills, with the ability to manipulate and process data at scale., • Curiosity to explore and delve into emerging capabilities with a clear link to commercial value., • Highly self-directed, capable of managing tasks, projects, and stakeholders independently., • Demonstrated track record of delivering analytics projects through R&D and discovery to production, with a clear understand of the Data Science & Machine Learning Lifecycles., • Demonstrated track record of implementing and fine-tuning LLM/AI workflows., • Strong competency leveraging Gen AI in your daily tasks to speed up efficiency., • Excellent communication skills, able to work across departments, engage with senior leadership, and work directly with our customers., • Experience with the AWS stack, Spark, Databricks, and/or Snowflake is desirable. Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Generous holiday allowance with the option to buy additional days ● Health screening, eye care vouchers and private medical benefits ● Wellbeing programs ● Access to a competitive contributory pension scheme ● Save As You Earn share option scheme ● Travel Season ticket loan ● Electric Vehicle Scheme ● Optional Dental Insurance ● Maternity, paternity and shared parental leave ● Employee Assistance Programme ● Access to emergency care for both the elderly and children ● RECARES days, giving you time to support the charities and causes that matter to you ● Access to employee resource groups with dedicated time to volunteer ● Access to extensive learning and development resources ● Access to employee discounts scheme via Perks at Work

Statistician / Computational Scientist – Digital Trials (Hands-On Research Track) Location: London Bridge (Hybrid, minimum 3–4 days on site, with regular presence in South East London) Contract: 3-year academic contract with renewal BioTalent has partnered with a leading academic programme to hire a Statistician / Computational Scientist into a high-impact research environment focused on digital trials, real-world data, and biomarker-driven research. This role is ideal for someone who wants to stay hands-on. You’ll be working directly with complex clinical and digital datasets, contributing to how next-generation trials are analysed and interpreted, without being pushed into people management or academic bureaucracy. The Opportunity You’ll be working across large-scale observational and interventional datasets, applying statistical and computational approaches to real-world clinical and digital health data. The focus is on meaningful research output and impact, not admin or teaching. You’ll collaborate with clinicians, data scientists, and researchers to generate insights that directly shape study decisions and outcomes. What You’ll Be Doing • Conduct exploratory and applied analysis across clinical, translational, and digital health datasets, • Apply statistical and computational methods using R and/or Python, • Support the design and evaluation of digital and decentralised trials, • Work closely with cross-functional teams across clinical, academic, and technical groups, • Translate complex data into clear, actionable insights, • Build reproducible pipelines and analytical workflows, • Integrate machine learning approaches alongside classical statistical methods, • Contribute to publications and research outputs, • Work through real-world data challenges such as missingness, adherence, and data quality What They’re Looking For • PhD in Biostatistics, Bioinformatics, Computational Biology, Epidemiology or similar, • Strong hands-on experience with clinical, biological, or health datasets, • Solid programming skills in R and/or Python, • Experience working with real-world data, omics, or digital health datasets, • Strong data interpretation and communication skills, • Interest in translational or clinical research Nice to have: • Exposure to clinical trials or oncology research, • Experience with machine learning methods, • Familiarity with EHR, wearables, or decentralised trial data Why This Role • Proper hands-on research role without forced people management, • Work on genuinely complex, real-world datasets at scale, • Collaborate across clinical, academic, and technical teams, • Long-term stability within a major funded programme, despite academic contract structure If you want to stay close to the data, build real insight, and work on research that actually changes how trials are run, this is a strong move.