> Markdown version of [/jobs/ext/2914854-data-scientist-consumer-technology-platform](https://www.wearedevelopers.com/jobs/ext/2914854-data-scientist-consumer-technology-platform). 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 - Consumer Technology Platform - **Company:** Harnham - **Location:** Slough, UK - **Experience:** Expert - **Salary:** £90,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Python (Programming Language), Search Algorithms, Machine Learning, Standard Sql, SQL Databases, Machine Learning Operations, Databricks - **Published:** September 15, 2026 - **Apply:** https://www.collegerecruiter.com/job/2879180512-data-scientist-consumer-technology-platform ## About the Role * 5+ years' commercial Data Science experience * Strong Python and SQL skills * Experience with customer, marketing, ecommerce or loyalty data * Background in retention, CLV, recommendations or experimentation * Excellent stakeholder management * Databricks, dbt or MLflow exposure is beneficial ## Description Join one of the UK's largest membership platforms, using machine learning to improve engagement, retention and commercial performance for over 4 million members. Working within a small, high-impact Data Science team, you'll develop models across retention, CLV, recommendations, search, forecasting and anomaly detection, partnering closely with Product, Marketing, CRM and Finance. The Role * Build retention, churn and CLV models * Develop recommendation and search algorithms * Create forecasting and marketing mix models * Detect fraud, broken journeys and offer issues * Design and evaluate A/B tests * Translate business problems into scalable ML solutions * Tech stack: Python, SQL, Databricks, dbt, MLflow ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)