Lead Data Scientist — Greenfield ML for Growth

Pulse Group; Greater London; Hybrid; GBP 95,000 - 130,000; Full time

Job summary

Pulse Group is seeking a Lead Data Scientist to join a new Data Science capability in London. You will shape how ML drives customer engagement, subscriptions, retention and revenue, processing hundreds of thousands of events per second and petabytes of data.

You will work closely with Product, Engineering, Editorial and Commercial teams to translate customer behaviour into actionable insights and measurable business outcomes, taking ownership of modelling and experimentation in a Greenfield

Qualifications

• 5+ years in Data Science or Machine Learning.
• Strong Python and SQL.
• Experience deploying production ML models.
• Strong grounding in statistics, probability and machine learning theory.
• Experience working with large-scale customer datasets.
• Background in subscription, consumer, media, gaming, e-commerce, fintech or similar environments.
• Experience with recommendation systems, propensity modelling, retention, personalisation or monetisation challenges would be particularly valuable.

Responsibilities

• Translate customer behaviour into actionable insight and measurable business outcomes in collaboration with Product, Engineering, Editorial and Commercial teams.
• Lead subscription propensity modelling, churn/retention analytics, segmentation and personalisation initiatives.
• Develop dynamic pricing and offer optimisation strategies.
• Apply uplift modelling and causal inference techniques.
• Design experiment frameworks and manage A/B testing.
• Monitor and optimise model performance across production systems.

Skills

DS experience

Python

SQL

Production ML

Statistics theory

Large datasets

Tools

ClickHouse

Iceberg

Python ML tooling

Job description

Pulse Group is seeking a Lead Data Scientist to join a new Data Science capability in London. You will shape how ML drives customer engagement, subscriptions, retention and revenue, processing hundreds of thousands of events per second and petabytes of data.

You will work closely with Product, Engineering, Editorial and Commercial teams to translate customer behaviour into actionable insights and measurable business outcomes, taking ownership of modelling and experimentation in a Greenfield