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 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.

The role

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.

What you’ll be doing

• 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

What we’re looking for

Essential experience

• Strong grounding in statistical modelling, experimentation and inference
• Advanced Python skills (NumPy, pandas, scikit-learn, PyTorch or TensorFlow)
• Experience building, deploying and optimising ML models in production
• Strong AWS experience (e.g. SageMaker, 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

Nice to have

• 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

What’s on offer

• 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.