Role Overview
We’re looking for a Senior Applied Data Scientist who expects more from their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights – leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients.
What You Will Do
You’ll investigate, develop, implement and deploy a range of complex applications and components for our clients in Tesco, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them.
Why It Might Be a Fit
You’ll drive change, shape innovative solutions, and actively redefine how organisations harness data.
Requirements
- Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field.
- Strong programming skills — Python and SQL are essential; PySpark experience is highly advantageous.
- Experience with version control tools (e.g. GIT).
- Solid understanding of analytical technologies, tools, and techniques.
- Excellent logical thinking and problem‐solving abilities.
- Strong communication skills, with the ability to explain complex concepts clearly to non‐technical audiences.
- Proven experience in statistical modelling and applying data science solutions to real client problems.
- A passion for connecting technical work to real customer outcomes, delivering clear and measurable impact.
- Comfortable building new workstreams from the ground up, including defining direction, structure, and stakeholder alignment.
- Background in retail analytics is advantageous.
Benefits
- Flexible allowance
- Private medical insurance through Vitality
- Life assurance
- Partner life assurance
- Income protection
- Critical illness cover
- Pension scheme with up to 7.5% employer matching
- Access to the Wellness Hub
- Confidential employee assistance support services
- Car leasing
- Cycle to Work scheme
- Technology purchase options
- Annual holiday allowance
- Public holidays
- Option to purchase additional leave
- Loyalty days
- Birthday day off
- Long service awards
- Talent Scout referral rewards
To apply for this job please visit job-boards.greenhouse.io.

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