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# Data Scientist

- **Company:** Harnham
- **Location:** Liverpool, UK
- **Experience:** Starter
- **Salary:** £50,000.0 - £55,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Data Presentation, Python (Programming Language), Machine Learning, Standard Sql, Azure Machine Learning, Software Deployment
- **Published:** October 3, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-scientist/57417426

## About the Role

* Strong commercial experience in Data Science and machine learning
 * Excellent Python skills, with SQL expertise
 * Experience delivering end-to-end Data Science projects from development to deployment
 * Knowledge of statistical modelling, forecasting, and predictive analytics techniques
 * Experience communicating technical concepts to non-technical stakeholders
 * Ability to work in a collaborative, business-focused environment
 * Exposure to cloud technologies such as GCP or Azure is advantageous
 * Experience with Vertex AI, Azure ML, or similar machine learning platforms is beneficial

## Description

The team is moving beyond ad hoc analytics towards scalable, production-ready machine learning solutions. Data is at the heart of strategic decision-making, creating an exciting environment for a commercially minded Data Scientist to make an impact., As a Data Scientist, you will work closely with Data Science leadership, engineers, analysts, and business stakeholders to develop and deploy machine learning solutions across a range of customer and commercial use cases., * Building, validating, and deploying predictive and machine learning models

 * Developing customer segmentation and customer lifetime value models
 * Supporting forecasting initiatives to improve commercial planning
 * Delivering targeted customer and personalisation use cases
 * Working across the full Data Science lifecycle from problem definition through to production deployment
 * Collaborating with technical and non-technical stakeholders to translate business challenges into analytical solutions
 * Contributing to the development of a scalable Data Science platform and best practice framework
 * Presenting insights and recommendations clearly to business audiences