Senior Applied Data Scientist — Retail Insights & ML

dunnhumby; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Healthcare & protection

Pension (Aviva)

Wellbeing support

Lifestyle benefits

Time off: 25 days + birthday off

Recognition programs

Job summary

dunnhumby is seeking a Senior Applied Data Scientist to apply advanced data science methods to real client problems in retail analytics. You will distill complex challenges into actionable insights, design and deploy models, and collaborate with teams to deliver measurable value for major clients such as Tesco.

The role sits in our London hybrid environment, offering flexible working and a strong emphasis on delivering impact through data science excellence.

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).
• 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.

Responsibilities

• Apply world‑class data science methods to distill complex problems into actionable insights.
• Develop, implement, and support models and applications for clients in retail analytics.
• Collaborate with Tesco and other stakeholders to deliver scalable, measurable impact.

Skills

Python

SQL

PySpark

Git

Analytical thinking

Communication

Education

Degree in Statistics/Mathematics/Physics/Economics or related quantitative field

Tools

Git

Job description

dunnhumby is seeking a Senior Applied Data Scientist to apply advanced data science methods to real client problems in retail analytics. You will distill complex challenges into actionable insights, design and deploy models, and collaborate with teams to deliver measurable value for major clients such as Tesco.

The role sits in our London hybrid environment, offering flexible working and a strong emphasis on delivering impact through data science excellence.