Senior Data Scientist

You will play a key role in building and deploying advanced machine learning solutions that support pricing and risk decision-making.

Responsibilities include:

• Developing predictive models focused on risk, claims outcomes, fraud detection, and other key business metrics.
• Creating and maintaining analytical tools that improve portfolio management and commercial performance.
• Identifying, evaluating, and extracting value from new internal and external data sources.
• Engineering new features and rating factors to enhance existing pricing algorithms.
• Managing the full machine learning lifecycle, from exploratory analysis through to deployment, monitoring, and model refresh activities.
• Working closely with Data Scientists, Data Engineers, Analysts, and business stakeholders to translate challenges into impactful solutions.
• Exploring emerging machine learning techniques and assessing their commercial application.

• Strong commercial experience delivering machine learning projects from initial exploration through to deployment and ongoing optimisation.
• Advanced Python and SQL skills.
• Experience with Azure Machine Learning, Azure cloud technologies, and Git.
• Proven ability to communicate technical concepts to a range of stakeholders and influence decision-making.
• Experience working across multidisciplinary data and analytics teams.
• Strong problem-solving capabilities and a track record of delivering high-quality analytical solutions.
• An interest in applying innovative data science techniques to real-world business challenges.