forensic data scientist jobs in Berkshire

You will be based near the charming, vibrant town of Reading. Benefits for the role of Senior Environmental Data Scientist/Hydrologist include (but are not limited to): - Competitive salary, rising with experience - Employee Pension Scheme - Generous annual leave entitlement

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.

Lead Data Scientist: Up to £110k Xcede has just started working with one of the leading applied AI companies in the UK. If you want to have a real impact, this is the role for you! Wating someone to lead the AI solutions, you will establish data analytics strategies, create resilient system frameworks, guide and develop junior team members, and uphold high standards of execution across...

You will design, build, and deploy production‑grade models using energy‑market data, asset telemetry, weather data, settlement data, and commercial datasets. This role is central to the evolution of our pricing, risk, trading, and optimisation engines.

You will collaborate closely with engineering, product, and commercial teams and work with a high degree of autonomy.

Urgent requirement x7 Snr Data Scientists - Start ASAP! 🗓️ 12 month rolling contracts 📄 Inside IR35 💰 £600-£700 per day 🌍 UK, hybrid London (1 day office per week) I need people who have worked on production ready applied data science products, we are not interested in research heavy backgrounds for this project. Any forecasting / optimization experience is great, particularly in Supply...

Data Scientist (Multiple roles, various seniority) | Sports Data (Pick YOUR sport) We’re helping several sports data leaders, specialised in turning complex sporting datasets into actionable insights that drive smarter, evidence-based decision-making. Each team combines technical expertise with a genuine passion for the sport, ensuring that the insights they deliver are both rigorous and...

You will work as a generalist Data Scientist, combining strong classical data science foundations with solid Python engineering and familiarity with modern ML/LLM tooling. The role is hands-on and delivery-focused, with opportunities to ship work into production and iterate quickly.

Data Scientist - £70k | Remote / Hybrid | FinTech / Payments Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today. 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,...

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. Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below. In this role, you'll design...

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.

We're working with a global consumer technology platform on a senior data role focused on product growth, experimentation and user experience at scale. This is a hands-on analytics role where your work will directly influence how millions of users authenticate, access and move through critical product journeys. You'll sit inside a product and engineering team, owning analytics for a defined set...

💼 Position: Senior Data Scientist 💵 Salary: £70,000 - £80,000 base + 12% flexible benefits 🌍 Location: London, UK (Hybrid – 3 days in office, 2 remote) An FTSE-listed global FinTech company is looking to hire a Senior Data Scientist in their Trading & Operations function, with deep experience leading high‑impact data science projectsend‑to‑end, from problem framing and exploratory analysis...

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 Hybrid Working – Local Site – 1-2 days a week on site. Financial Services Lorien's leading banking client is looking for a number of Data Scientists to join them on a new long term project which will be working on GenAI-Powered Digital Assistant programme. What you’ll do - Collaborate with cross-functional teams to develop and enhance our GenAI-Powered smartdigital...

Lead Data Scientist – High‑Impact Role (Exclusive Search) I’m working with a rapidly scaling European tech organisation that’s delivering major cloud, data and digital programmes for household‑name enterprise clients. They’re now looking for a Lead Data Scientist to take the reins on a flagship London engagement - and the scope here is huge. If you’re someone who loves stepping into a role...

About Ludonautics Ludonautics is a sports advisory business dedicated to helping sporting organisations make data-informed decisions through access to insightful statistical analysis. Ludonautics was founded in 2023 by Ian Graham, who previously served as Liverpool FC's Director of Research for 11 years. What will you be doing? Ludonautics needs a full-stack Data Scientist who will work...

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 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.