forensic data scientist jobs in Hampshire

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.

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.

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...

A leading biopharmaceutical solutions organization is seeking a Sr Clinical Data Scientist to serve as the Functional Lead for Clinical Data Science. The role involves overseeing data quality, coordinating data cleaning activities, and managing resources for assigned projects. Candidates must have experience with Veeva Vault and will participate in project meetings, audits, and ensure compliance...

Job Description A fantastic opportunity for a Data Scientist, proficient in Python and C++ to join the market leaders in clean marine technology. Reporting to: Head of Innovation, Research & Development. Working closely with the Digital team. Location: London HQ Office (Marylebone) OR Southampton (Chandlers Ford) Office. As a Data Scientist you will be responsible for a portfolio of...

You will be responsible for maintaining and developing automated pipelines to process data and create metrics efficiently as well as building advanced predictive models to measure and classify player and team performance.

You will also be collaborating with football club staff to understand technical and tactical concepts and translate them into metrics.

You will be an excellent communicator able to engage effectively with both academic and professional services colleagues often on complex topics.

You must be willing to be flexible and use your analytical and literacy skills on a range of topics.

You must be confident working with data and generating robust analysis and actionable insight from it with minimal supervision.

Data Scientist - Level 1 Salary Banding : £32,080 - £48,120 per annum Contract : Full-Time, Permanent Working Location : Hybrid, 2 Days a week in the office, minimum Office Locations : Basingstoke, London, Bristol Join Our Team as a Data Scientist at Hawk-Eye Innovations Hawk-Eye Innovations is a leading provider of sports technology solutions, dedicated to enhancing the accuracy and...

You will collaborate with data, AI and business experts to support data-led decisions, impacting the entire organization. Our data & AI journey is entering an exciting new stage, and you can help shape its future.

You will assist colleagues in setting strategy for activities using data & AI, informing on the art-of-the-possible and best-practice.

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

Lead Technical Architect / NLP Engineer (Natural language processing) Interviewing immediately for NLP experts with a background in either data science or data engineering for a lead / senior position near Fleet within a ground breaking Fintech company which works with the latest technologies and has a strong emphasis on innovation and employing only the best of the best. This role will be a...

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 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.

A leading research-intensive university in Southampton is seeking a Data Scientist to provide expertise in programme development. Responsibilities include supporting programme assessments, analyzing student data, and advising senior leaders on decisions based on robust insights. The ideal candidate will be confident with data, possess excellent communication skills, and have the ability to work...

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 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.