Customer Data Scientist: Personalization & ML

Burberry; Greater London; Hybrid; GBP 42,000 - 64,000; Full time

Job summary

Burberry is seeking an early-career Data Scientist to apply statistical modelling, machine learning and AI techniques to customer data across touchpoints. This role focuses on building scalable models that deepen understanding of customer behaviour and response to marketing activity.

You will work with data scientists, engineers and cross-functional stakeholders to develop production-ready solutions, using Python and SQL as core tools to power propensity, recommendations and client insights.

Qualifications

• Master’s degree in Data Science or related quantitative field.
• Experience applying statistical analysis or ML techniques to practical problems.
• Solid programming foundation in Python and SQL.

Responsibilities

• Develop robust statistical models and ML solutions for customer/business objectives.
• Prepare data sources, assess quality and create features for modelling.
• Collaborate with data scientists and engineers to build production-ready solutions.
• Monitor and evaluate models in production using business metrics.

Skills

Analytical mindset

Python programming

SQL programming

Statistical modelling

Communication skills

Collaborative working style

Education

Master’s degree in Data Science or related quantitative field

PhD in a quantitative discipline (nice to have)

Tools

Python

SQL

Pandas

PySpark

Git

Job description

Burberry is seeking an early-career Data Scientist to apply statistical modelling, machine learning and AI techniques to customer data across touchpoints. This role focuses on building scalable models that deepen understanding of customer behaviour and response to marketing activity.

You will work with data scientists, engineers and cross-functional stakeholders to develop production-ready solutions, using Python and SQL as core tools to power propensity, recommendations and client insights.