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# Data Scientist

- **Company:** Harnham
- **Location:** London, UK
- **Experience:** Experienced
- **Salary:** £70,000.0 - £90,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Information Extraction, Python (Programming Language), Machine Learning, Recommender Systems, Standard Sql, Software Deployment, Microsoft Fabric, Pyspark, Data Analytics, Data Pipelines, Databricks
- **Published:** September 29, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-scientist/57401038

## About the Role

* Strong experience across both Data Science and Data Engineering
 * Hands-on expertise with Microsoft Fabric and Databricks
 * Advanced Python and SQL skills, with PySpark desirable
 * Experience building data pipelines and machine learning models
 * Knowledge of NLP, entity resolution, or document processing is advantageous
 * Strong communication skills and commercial awareness

Skills

 * ETL
 * Fabric
 * CI/CD
 * Databricks
 * Python

## Description

Join a newly established R&D function building data-driven and AI-enabled products. This is a hands-on role for someone who enjoys combining Data Science and Data Engineering to create scalable data solutions with real business impact.
The Company
They are investing heavily in data and AI, with a small multidisciplinary team focused on building analytical products from concept through to production. You'll work in a collaborative environment with plenty of ownership and exposure to cutting-edge technologies.
The Role

 * Build scalable data pipelines using Microsoft Fabric and Databricks
 * Develop machine learning solutions across forecasting, anomaly detection, recommendation systems, and information extraction
 * Work with structured, semi-structured, and document-heavy datasets
 * Create reusable data assets and analytical products
 * Contribute to testing, APIs, CI/CD, and production deployments
 * Partner with stakeholders to solve business challenges through data