Customer Data Scientist - Personalization & Impact

Burberry; City of Westminster; On-site; GBP 42,000 - 65,000; Full time

Job summary

Burberry’s Customer Data Science team is seeking an early-career Data Scientist to apply statistical modelling and ML to personalise experiences across customer touchpoints. Ideal for a candidate with master's-level knowledge or about one year of relevant experience, collaborating with data scientists, engineers and stakeholders.

You will build scalable solutions, explore data sources, and contribute to recommendations, discovery, and client relationship intelligence.

Qualifications

• Master's degree or PhD in a quantitative discipline.
• Master's-level project, placement or internship experience, or ~1 year of relevant experience in data science.
• Strong Python and SQL skills.
• Knowledge of time series, recommender systems, causal inference or related areas.
• Ability to translate business questions into analytical frameworks.

Responsibilities

• Develop robust statistical models, ML solutions and data-driven tools that support customer and business objectives.
• Explore and prepare new data sources, assess data quality and create relevant features for modelling and analysis.
• Apply propensity modelling, causal inference and experimentation to understand customer behaviour and measure impact of outreach.
• Contribute to product recommendation and discovery solutions that create more relevant customer experiences.
• Collaborate with data scientists and engineers to build scalable, reliable and production-ready solutions.
• Monitor and evaluate models in production using technical and business measures to identify opportunities for improvement.
• Translate business questions into structured analytical frameworks and practical solutions.
• Present analytical methods and findings clearly to stakeholders.
• Identify opportunities to improve models and processes across the team.

Skills

Python

SQL

Machine Learning

Statistics

Time Series

Recommender Systems

Git

Data Visualization

Education

Master's degree in a quantitative field

PhD considered

Tools

Pandas

PySpark

Git

Job description

Burberry’s Customer Data Science team is seeking an early-career Data Scientist to apply statistical modelling and ML to personalise experiences across customer touchpoints. Ideal for a candidate with master's-level knowledge or about one year of relevant experience, collaborating with data scientists, engineers and stakeholders.

You will build scalable solutions, explore data sources, and contribute to recommendations, discovery, and client relationship intelligence.