Senior Data Scientist – Pricing
London / Leicester | £60,000 – £75,000
This is an exciting opportunity for a Senior Data Scientist to join a highly advanced analytics function focused on pricing innovation. You’ll work on developing cutting-edge machine learning models, leveraging new technologies and data sources to influence commercial strategy and deliver tangible business impact.
The Company
They are a data-driven organisation that has invested heavily in its analytics and pricing capabilities. Their Data Science team sits at the heart of strategic decision-making, helping to improve risk assessment, customer outcomes, and commercial performance. Working within a collaborative environment, you’ll partner with experts across analytics, engineering, and business functions to drive innovation and challenge conventional approaches.
The Role
You will:
- Develop and deploy machine learning models that support pricing and risk management strategies.
- Build predictive models focused on claims outcomes, fraud detection, and key business performance metrics.
- Create and maintain analytical tools used to manage and optimise risk portfolios.
- Identify, assess, and utilise new data sources to improve model performance and business outcomes.
- Engineer new predictive features that can be incorporated into pricing algorithms.
- Take ownership of projects across the full machine learning lifecycle, from exploratory analysis through to deployment and monitoring.
- Collaborate with Data Scientists, Data Engineers, Analysts, and business stakeholders to deliver commercial value.
- Explore emerging machine learning techniques and assess their practical application within the business.
Your Skills & Experience
- Strong commercial experience delivering end-to-end machine learning projects.
- Excellent Python and SQL skills.
- Experience with Azure Machine Learning, Azure Cloud Services, and Git.
- Strong understanding of model deployment, monitoring, evaluation, and optimisation.
- Ability to translate complex business problems into scalable analytical solutions.
- Experience engaging with a range of stakeholders to define requirements and drive successful outcomes.
- Strong communication skills and a collaborative approach to problem-solving.
- Passion for applying advanced analytics and machine learning to real-world business challenges.
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