Senior Risk Data Scientist

Senior Data Scientist

London (Hybrid) | £60,000 to £90,000

This is an exciting opportunity to join a fast-growing fintech business where data science sits at the heart of commercial decision-making. You'll work on high-impact machine learning solutions that directly influence lending, risk, and business performance while collaborating with a highly skilled, data-driven team.

The Company

Our client is a high-growth financial technology organisation delivering innovative embedded finance solutions to businesses across multiple international markets. They have built a strong reputation for combining advanced technology with data-led decision-making. With ambitious growth plans and a collaborative culture, they offer an environment where data professionals can make a visible impact.

The Role

As a Senior Data Scientist, you will play a key role in developing machine learning and predictive analytics solutions that support critical business and risk decisions.

Responsibilities include:

• Analysing large and complex datasets to identify trends, patterns, and actionable insights.
• Building and deploying machine learning models to support forecasting, risk assessment, fraud detection, and customer outcomes.
• Developing predictive models that drive commercial and operational decision-making.
• Creating dashboards and visualisations to communicate findings to technical and non-technical stakeholders.
• Partnering with product, engineering, and commercial teams to embed data-driven solutions into products and processes.
• Working closely with data engineering teams to optimise data infrastructure and analytical workflows.
• Supporting best practices across machine learning operations and model lifecycle management.

Your Skills & Experience

• Strong commercial experience as a Data Scientist within a data-rich environment.
• Advanced Python and SQL skills for analysis, modelling, and data manipulation.
• Hands-on experience developing and deploying machine learning models.
• Strong understanding of predictive analytics and statistical modelling techniques.
• Experience translating complex analytical findings into clear business recommendations.
• Ability to work effectively with cross-functional stakeholders across technical and non-technical teams.
• Experience working with financial, lending, payments, or transactional data is advantageous.
• Strong problem-solving skills and the ability to navigate ambiguity in a fast-paced environment.

How to Apply

If you're interested in applying advanced machine learning and data science techniques within a fast-growing fintech environment, please submit your CV for immediate consideration.