Lead Data Scientist

Lead Data Scientist
Salary: Up to £75,000 + competitive benefits
Location: Leicester. 2 days onsite per week
A major UK retailer is hiring a Lead Data Scientist to shape how £160M of digital marketing spend is measured, optimised and scaled.
This role sits at the centre of marketing, data and commercial strategy. You will lead a small team and own the analytical frameworks used to measure performance across paid media, CRM and digital channels.
You will work on attribution, experimentation, incrementality and customer insight to ensure marketing investment is driving measurable business impact.
This is a strong opportunity for an experienced Data Scientist or Senior Data Scientist ready to step into their first Lead role. You will have real ownership, exposure to senior stakeholders and the opportunity to shape how data science supports marketing decisions at scale. The organisation offers excellent opportunities to develop leadership capability and progress within a growing data function.
Key responsibilities
Lead and develop a small team of data scientists and analysts focused on marketing performance and optimisation.
Own the analytical strategy used to evaluate a £160M digital marketing budget across multiple channels including paid media, CRM and onsite marketing.
Design and implement robust experimentation frameworks including A B testing and incrementality testing.
Build models that measure customer lifetime value, marketing effectiveness and channel performance.
Partner with marketing leadership to translate complex analysis into clear commercial recommendations.
Improve attribution approaches and develop more advanced measurement frameworks.
Work with large scale customer and marketing datasets using Python and SQL.
What we are looking for
Experience mentoring or guiding data scientists or analysts, or a strong desire to step into a leadership role.
Strong Python and SQL skills with experience working on large scale data problems.
Experience working in fast paced, data driven organisations where analytics directly informs product, marketing or commercial decisions.
Strong problem solving ability and the confidence to work with senior stakeholders.
Experience with experimentation, causal thinking or incrementality testing is highly beneficial.
Exposure to digital marketing, ecommerce or customer analytics environments would be advantageous but is not essential.

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