Senior Data Scientist - Risk

Harnham - Data and Analytics Recruitment; Greater London; Híbrido; GBP 60 000 - 90 000; Tempo integral

Resumo da oferta

Harnham - Data and Analytics Recruitment is seeking a Senior Data Scientist in London on a hybrid basis. You will work at the heart of a fast-growing fintech, developing machine learning solutions that directly influence lending, risk, and overall business performance.

Collaborating with product, engineering and commercial teams, you will build, deploy and monitor models, create dashboards, and translate complex analytics into clear business recommendations.

Qualificações

• Strong commercial experience as a Data Scientist in data-rich environments.
• Advanced Python and SQL for analysis, modelling and data manipulation.
• Hands-on ML model development and deployment experience.
• Ability to translate insights into business recommendations.

Responsabilidades

• Analyse large datasets to identify trends and insights.
• Develop and deploy ML models for forecasting, risk and fraud detection.
• Create predictive models guiding commercial decisions.
• Build dashboards and visuals for stakeholders.
• Collaborate with product, engineering and commercial teams.
• Improve data infrastructure and analytics workflows.
• Support ML ops and model lifecycle best practices.

Conhecimentos

Python

SQL

Machine learning

Predictive analytics

Data storytelling

Cross-functional collaboration

Financial data experience

Ferramentas

ML tools

Dashboards

Descrição da oferta de emprego

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.