Data Scientist

Data Scientist - £70k | Remote / Hybrid | Fin Tech / Payments

We’re working with an established Fin Tech / 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 Data Science and AI capability and are looking for a Data Scientist to play a key role in shaping how advanced analytics, machine learning and AI are used across the business.

As a Data Scientist, you’ll work on turning complex datasets into meaningful insights and production-ready models that influence real business decisions. You’ll partner closely with Product, Engineering and Analytics teams
, helping to identify where data science and machine learning can add the most value.

This role combines hands-on technical work with the opportunity to influence strategy, tooling and ways of working
, particularly around AI and ML adoption.

You’ll be involved across the full lifecycle, from problem definition and experimentation through to deployment, governance and ongoing optimisation.

• Leading the use of advanced analytics, machine learning and AI within the data team
• Collaborating with Product and Engineering on strategic AI-driven initiatives
• Identifying and developing high-impact use cases for data science and ML
• Helping define ML lifecycle standards, documentation and governance
• Communicating insights and model outputs clearly to technical and non-technical stakeholders

• Strong grounding in statistical modelling, experimentation and inference
• Advanced Python skills (Num Py, pandas, scikit-learn, PyTorch or Tensor Flow)
• Experience building, deploying and optimising ML models in production
• Strong AWS experience (e.g. Sage Maker, Lambda or similar services)
• Expert SQL skills and experience working with large, complex datasets
• Solid data engineering fundamentals, including pipelines and APIs
• Comfortable with MLOps practices such as CI/CD, containerisation and monitoring
• Clear, pragmatic communicator who works well across teams

• Experience with agentic or LLM-based frameworks
• Exposure to causal inference, uplift modelling or advanced experimentation
• Experience working in fintech or another regulated environment
• Awareness of data governance, privacy and model ethics

• Competitive salary with flexibility for the right profile
• 25 days holiday plus an additional day off
• Annual learning and development budget
• Private healthcare and wellbeing support
• Pension, life assurance and additional benefits
• Hybrid working with flexibility where possible

This role would suit someone who enjoys working on real-world data problems
, wants to influence how AI and machine learning are used responsibly in production, and is looking for a role with both technical depth and business impact
.

If you’re interested, apply directly or reach out for a confidential conversation.