data research scientist jobs in Surrey

You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment.

You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform.

You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.

Data Scientist - £70k | Remote / Hybrid | FinTech / Payments We’re working with an established FinTech / Payments business that has been helping customers manage and move money globally for many years. The company builds technology-led products that support low-cost, multi-currency payments and money management, operating across several regulated markets. They’re now investing further in their...

You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making. This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment.

You will design and build the systems that identify the signals that matter most for visibility, the retrieval and embedding architecture that feeds the models, the ranking and scoring framework that prioritises actions and the evaluation layer that measures how different LLMs behave across queries, surfaces and contexts.

You will work directly within the RWDS team to execute observational studies for internal and external consumption and partner closely with Development, Medical Affairs, and Pharmacovigilance/Pharmacoepidemiology colleagues in their research.

You will conduct cutting-edge research, develop high-quality code, and publish findings in prestigious conferences. Candidates must have hands-on experience in areas like generative AI and programming expertise in Python, Java, or C++. The role offers a hybrid work environment, allowing flexibility with 3 days onsite and 2 days remote.

A leading technology consultancy in Guildford is searching for a Senior Data Scientist to lead complex projects in data science and machine learning. This hands-on role requires expertise in Python, SQL, and machine learning frameworks like PyTorch or TensorFlow. Candidates will translate ambiguous problems into actionable data science solutions and own the full data science lifecycle from data...

L'ambition d'AXA Partners est de construire un leader mondial de la distribution pour compte de tiers afin de contribuer à la croissance du Groupe AXA sur le marché de la distribution. AXA Partners contribue à enrichir l'offre d'assurance de base d'AXA avec des assurances spécialisées et des services innovants aux clients finaux, contribuant ainsi à la transformation du Groupe AXA de payeur à...

Join a forward-thinking company as a Data Engineer/Scientist, where you will design and maintain data pipelines and analytics solutions for high-profile public sector organizations. This role is crucial in enhancing public service delivery through innovative data-driven solutions. You'll work with cutting-edge technologies like Palantir and cloud platforms, tackling complex challenges in a hybrid...

You will have built an optimization model using MILPs, heuristics, decomposition, or other methods (big focus on linear optimization, not so much on non-linear). In terms of skills you should have strong working experience with optimization solvers (e.g. Gurobi, Cplex, FICO Xpress optimization or other).

You will be hands on with the development and solution architecture while leading a small yet highly capable team of data scientists/engineers which will suport you.

You will work beside some of the market’s top thought people designing and implementing cutting-edge solutions to challenges faced by the world’s top general insurers and intermediaries.

You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment.

You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform.

Data Scientist - £70k | Remote / Hybrid | FinTech / Payments We’re working with an established FinTech / Payments business that has been helping customers manage and move money globally for many years. The company builds technology-led products that support low-cost, multi-currency payments and money management, operating across several regulated markets. They’re now investing further in their...

You will have built an optimization model using MILPs, heuristics, decomposition, or other methods (big focus on linear optimization, not so much on non-linear). In terms of skills you should have strong working experience with optimization solvers (e.g. Gurobi, Cplex, FICO Xpress optimization or other).

You will design and build the systems that identify the signals that matter most for visibility, the retrieval and embedding architecture that feeds the models, the ranking and scoring framework that prioritises actions and the evaluation layer that measures how different LLMs behave across queries, surfaces and contexts.

You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.

You will work on assignments such as: Architecting end-to-end data solutions for major business transformation programmes Designing and implementing data lakes and warehouses using cloud technologies Creating automated data pipelines for continuous data integration Developing real-time data processing systems

You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making. This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment.