Harnham
Data Scientist
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Data Scientist
London | Hybrid (2 days in office) | £55,000 - £65,000 + Benefits
Are you looking for a Data Scientist role where you can take ownership of fraud prevention rather than simply support an established function? This opportunity offers the chance to shape fraud strategy, develop models that directly influence business decisions, and work closely with senior stakeholders across a growing fintech environment.
The Company
This fast-growing fintech business is transforming the way customers access credit. They have built an innovative lending model designed to create a more transparent and predictable customer experience, while placing data at the centre of business decision-making. You will join a collaborative and high-performing team where data science has genuine influence. With continued growth and investment in analytics, this is an opportunity to make a visible impact and play a key role in the evolution of fraud prevention capabilities.
The Role
As a Data Scientist, you will become the subject matter expert for fraud analytics, helping the business identify, prevent and respond to emerging fraud threats.
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Key responsibilities include:
- Developing and enhancing fraud detection, fraud scoring and identity verification models.
- Analysing large and complex datasets to identify fraud trends, risks and opportunities.
- Evaluating new internal and external data sources to improve fraud detection performance.
- Monitoring model performance and communicating insights to both technical and non-technical stakeholders.
- Collaborating with underwriting, product, data and engineering teams to implement fraud solutions.
- Exploring new approaches and technologies to strengthen fraud prevention capabilities.
- Driving business impact through data-led recommendations and fraud strategy improvements.
Your Skills & Experience
- Strong commercial experience in fraud analytics, fraud prevention or fraud strategy.
- Experience building, improving or supporting predictive and machine learning models.
- Advanced SQL and Python skills.
- Strong statistical analysis and problem-solving capabilities.
- Ability to explain model performance and analytical findings in a clear commercial context.
- Experience gained within fintech, lending, banking, payments, e-commerce or another fraud-focused environment.
- Exposure to cloud-based data science platforms such as AWS SageMaker or Databricks would be beneficial.
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What They Offer
- £55,000 - £65,000 base salary with flexibility for exceptional candidates.
- Hybrid working with two days per week in a central London office.
- Opportunity to own a critical area of the business and influence fraud strategy.
- Exposure to senior stakeholders and cross-functional projects.
- Strong career development within a growing data-driven organisation.
- Collaborative culture that values innovation, learning and employee wellbeing.
How to Apply
If you're passionate about using data science to solve complex fraud challenges and want a role where your work will directly influence business outcomes, apply now to find out more.
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