> Markdown version of [/jobs/ext/3829875-data-scientist](https://www.wearedevelopers.com/jobs/ext/3829875-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist

- **Company:** Harnham
- **Location:** London, UK
- **Salary:** £50,000.0 - £65,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Data Discovery, Python (Programming Language), Machine Learning, Standard Sql, SQL Databases, Databricks
- **Published:** October 19, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-scientist/57470966

## About the Role

* Strong commercial experience using Python and SQL
 * Experience building, training and improving machine learning or predictive models
 * Ability to analyse complex datasets and translate findings into business insight
 * Databricks experience would be highly advantageous
 * Experience working with large transactional, behavioural or customer datasets
 * Consulting, agency or client-facing analytics experience is beneficial
 * Strong communication skills with the ability to engage both technical and non-technical audiences

Skills

 * Python
 * SQL

## Description

Looking to combine hands-on data science with client-facing analytics projects? This is an opportunity to join a well-established data and analytics consultancy where you'll work on predictive modelling projects, collaborate directly with clients, and help turn complex datasets into actionable business outcomes. You'll have exposure to a broad range of industries and the chance to influence both project delivery and the development of data-driven products., Their teams work across analytics, data science and product development, using modern cloud technologies and large-scale datasets to solve business challenges and create measurable value for clients., As a Data Scientist, you will:

 * Build and refine predictive models, including propensity and customer behaviour models
 * Work closely with clients to understand business problems and define analytical approaches
 * Lead and contribute to data discovery sessions with business stakeholders and subject matter experts
 * Analyse large datasets to identify trends, patterns and opportunities
 * Present findings, recommendations and model outputs to both technical and non-technical audiences
 * Prototype and test new analytical approaches using modern data science tools and techniques
 * Contribute to the optimisation and ongoing improvement of deployed models
 * Support the development of scalable data products and analytical solutions