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Harnham - Data & Analytics Recruitment

Senior Data Scientist - Pricing

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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.


How to Apply

To find out more about this opportunity, please apply with your CV and we'll be in touch to discuss the role in more detail.

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