Senior Applied Data Scientist - Retail Analytics (Flexible)

dunnhumby; Greater London; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Private medical insurance

Pension plan

Wellbeing resources

Flexible benefits

Birthday day off

Job summary

dunnhumby in London is seeking a Senior Applied Data Scientist to distill complex problems into meaningful insights using world-first science and cutting-edge ML techniques to deliver measurable client impact.

You will work with Tesco UK data and client leadership to identify opportunities, build scalable analytics solutions, and communicate results to non-technical audiences.

The role blends rigorous analysis with commercial impact, offering flexible working and a supportive environment.

Qualifications

• 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).

Responsibilities

• Translate complex problems into meaningful, actionable insights for clients.
• Develop models, algorithms and insights that answer hard questions in retail.
• Collaborate with client leadership to identify opportunities and deliver measurable value.

Skills

Statistics

Python

SQL

PySpark

Git

Analytical thinking

Communication

Statistical modelling

Retail analytics

Education

Degree in Statistics/Math/Physics/Economics

Tools

Git

PySpark

Job description

dunnhumby in London is seeking a Senior Applied Data Scientist to distill complex problems into meaningful insights using world-first science and cutting-edge ML techniques to deliver measurable client impact.

You will work with Tesco UK data and client leadership to identify opportunities, build scalable analytics solutions, and communicate results to non-technical audiences.

The role blends rigorous analysis with commercial impact, offering flexible working and a supportive environment.