Lead Data Scientist
Lead Data Scientist
Hybrid - 2 days a week
This is a standout opportunity to lead high‐impact data science projects within a large, data‐mature ecommerce environment. You will shape marketing effectiveness, drive experimentation, and bring advanced modelling to life at scale.
The Company
They are a well‐established retail and ecommerce organisation operating at significant scale across the UK. Their digital growth is supported by a strong analytics culture and modern technology stack. Teams work collaboratively, innovate quickly, and use data to influence key commercial decisions. With hybrid working and a flexible environment, they offer room to grow and make a measurable impact.
The Role
• Lead the design and delivery of data science solutions that guide marketing strategy.
• Partner with marketing teams to identify opportunities and improve channel performance.
• Build models across Marketing Mix Modelling, predictive analytics, customer value, churn, and attribution.
• Apply causal inference and experimental design to measure campaign impact.
• Develop dashboards and data products that enable self‐serve insights.
• Support data quality, governance, and best practice within the analytics function.
• Mentor data scientists and contribute to the growth of the team.
Your Skills and Experience
• Strong commercial experience preferred in applied data science within a marketing or ecommerce context.
• Expertise in marketing analytics, including MMM tools such as Meridian, Robyn, or PyMC, multi-touch attribution, customer lifecycle modelling
• Proficiency in SQL, Python, R, and PySpark, with experience using BI tools such as Power BI or Looker.
• Practical experience with causal inference and experimentation methods.
• Strong analytical capability with the ability to translate insight into action.
• Confident communicator who can influence stakeholders and explain complex concepts clearly.
What They Offer
• Competitive salary and annual bonus.
• Hybrid working with excellent on‐site facilities.
• Generous retail discounts and wellbeing benefits.
• Clear opportunities for career progression within a large, data‐driven organisation.
How to Apply
To be considered for this opportunity, please submit your CV.