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# Senior Data Scientist 197153

- **Company:** Harnham
- **Location:** Leicester, UK
- **Experience:** Expert
- **Salary:** £75,000.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Microsoft Azure, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Standard Sql, Azure Machine Learning, Deep Learning, Git
- **Published:** September 10, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840589243-senior-data-scientist-197153

## About the Role

* 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.

## Description

This is an opportunity to join a highly data-driven organisation where pricing, analytics, and machine learning sit at the heart of business strategy. You will work on innovative data science initiatives that directly influence risk assessment, pricing decisions, and commercial performance, while helping to shape the next generation of predictive modelling capabilities., 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.


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