Senior Marketing Data Scientist

Senior Marketing Data Scientist

• 4-month contract
• Hybrid - 3 days per week in London
• Salary: £114,000 per year

We are partnering with one of the world's leading technology organisations to recruit an experienced Senior Marketing Data Scientist to join a high-performing analytics team delivering insights that influence product and business strategy.

This is an opportunity to work on large-scale data sets, solve complex business problems and collaborate with Product, Marketing and Engineering teams to deliver measurable commercial impact.

Responsibilities

• Translate complex business challenges into analytical solutions.
• Build statistical models and generate actionable business insights.
• Analyse user behaviour, retention, product performance and marketing effectiveness.
• Develop scalable analytical frameworks and reusable solutions.
• Build dashboards and automated reporting for business stakeholders.
• Write production-quality SQL and Python code.
• Work closely with Product Managers and Engineers to influence strategic decisions.
• Design evaluation metrics and measure business impact.
• Improve data quality, pipelines and analytical processes.
• Present recommendations to senior stakeholders across multiple business functions.

Requirements

• 5+ years' commercial Data Science experience.
• Expert Python and SQL skills.
• Strong statistical analysis and modelling experience.
• Experience analysing product or marketing data.
• Dashboard development experience (Looker, Tableau or Power BI).
• Experience communicating complex findings to non-technical stakeholders.
• Experience working alongside Product and Engineering teams.
• Excellent commercial judgement and problem-solving skills.

Nice to Have

• R
• Machine Learning
• Big Query
• Cloud Analytics
• Experimentation / A-B Testing

This is an excellent opportunity to work on globally recognised products while solving high-impact analytical problems within an exceptional engineering environment. Please apply directly on the link to be considered.