Data Scientist

Burberry; Camden Town; On-site; GBP 50,000 - 70,000; Full time

Job summary

A global luxury brand is seeking a Data Scientist to join their Customer Data Science team. In this role, you will build and deploy statistical and machine learning models to gain insights into customer behaviors. You will collaborate with other data scientists and engineers to enhance business strategies and drive performance. The ideal candidate holds an advanced degree in a quantitative field and has experience in Python. This role promises to be innovative and impactful.

Qualifications

• Advanced degree, MSc or PhD in a quantitative field.
• Some experience as a Data Scientist in a commercial environment.
• Solid foundation in programming and experience in Python.
• Hands-on experience with time series, recommendation systems, etc.
• Strong problem-solving abilities.

Responsibilities

• Generate advanced analytics and develop cutting-edge machine learning models.
• Optimise and evolve current models and analytics solutions.
• Present analytics solutions to business stakeholders.
• Design and encourage experimentation.
• Contribute new ideas to improve solutions and processes.

Skills

Statistical modelling

Machine learning

Python programming

Data analysis

Problem-solving

Education

Advanced degree in a quantitative field

Tools

Python

Job description

Overview

We are now recruiting for a Data Scientist to join the Customer Data Science team. The Customer Data Science team uses advanced modelling techniques to uncover our customers' behaviours, preferences and intent to purchase. We aim to deliver targeted and personalised experiences across all customer touchpoints in collaboration with business stakeholders. As a Data Scientist, you will be accountable for building and deploying robust statistical and machine learning models, exploring a wide range of new data sources, and generating reliable and actionable insights and recommendations. You will work closely with other data scientists and engineers to develop innovative solutions to use cases across the business related to the Burberry customer. Examples of current work include propensity modelling, product recommendations & discovery algorithms, and client relationship intelligence.

Responsibilities

• Generating robust advanced analytics and developing new cutting-edge machine learning models and data-driven tools to support ongoing business strategy and drive future performance
• Optimising and evolving current models and analytics solutions in production, taking a test-and-learn approach and ensuring improvements are impactful and aligned to business objectives
• Presenting analytics solutions, models and insights to a range of business stakeholders and contributing to strategic decisions
• Designing, evaluating and encouraging experimentation to demonstrate value across the business
• Contributing new ideas towards improving current solutions, processes and unsolved business problems
• Working with the latest data science and AI technologies, and continuously learning and adapting in a fast-evolving space
• Staying up to date with latest trends in analytics and technology

Qualifications

• Advanced degree, MSc or PhD in a quantitative field (e.g., Data Science, Mathematics, Statistics, Econometrics, Computer Science, Physics, Engineering)
• Some experience as a Data Scientist in a commercial environment and customer-focused business, or demonstrated experience with data science and statistical techniques
• Solid foundation in programming and experience in Python
• Hands-on experience in one or more of the following: time series, recommendation systems, customer journey modelling techniques, deep learning or large language models (LLMs)
• Strong problem-solving abilities, with a logical and innovative approach
• Good understanding of data science concepts and practical application of mathematical, statistical, machine learning and deep learning techniques
• Desire and ability to continuously learn new software, technologies and methodologies and keep up with latest data science trends & AI models
• Collaborative approach to work and ability to work in teams to deliver business objectives
• Self-starter who proactively identifies opportunities where analytics can add value and translates business requirements into analytical frameworks
• Excellent communication skills with the ability to explain complex analytics to stakeholders

About Burberry

At Burberry, we believe creativity opens spaces. Our purpose is to unlock the power of imagination to push boundaries and open new possibilities for our people, our customers and our communities. We are an equal opportunities employer and recruit purely on the basis of skills and experience. We aim to provide an environment for creative minds from different backgrounds to thrive, bringing a wide range of skills and experiences to everything we do, as a purposeful, values-driven brand.