Data Scientist - Consumer Technology Platform

Harnham; Slough; Hybrid; GBP 85,000 - 90,000; Full time

Benefits offered by this job

Salary up to £90k

7% Bonus

Hybrid work 2 days/week

Leicester monthly office visit

Job summary

Harnham is hiring a senior Data Scientist to build retention, CLV, and recommendation models for a large UK membership platform. You will work with senior stakeholders in a growing Data Science team, delivering ML solutions across marketing and product analytics.

The role involves forecasting, A/B testing, and partnering with Product, Marketing, CRM and Finance to drive commercial impact. Hybrid work in London with occasional Leicester visits.

Qualifications

• 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.

Responsibilities

• 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.

Tools

Python

SQL

Databricks

dbt

MLflow

Job description

wn machine learning that drives decisions across a 4M+ member platform

Build commercial models spanning retention, recommendations and customer growth

Work directly with senior stakeholders in a growing Data Science team

Up to £90,000 + 7% Bonus

Hybrid | London (2 days/week) - Leicester office visit once a month included

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

Requirements

• 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

Why Join?

• Up to £90,000 + 7% bonus
• Hybrid working (2 days/week)
• High commercial ownership and visibility
• Dedicated MLOps support
• Opportunity to shape strategy through machine learning