Data Scientist – Associate – ML / Python

Overview

In this role you will co-develop in-house data science solutions that automate decisions and extract business insights. You’ll work in cross-functional agile squads to design and build data science products, delivering analyses that steer product development. You’ll contribute to learning and upskilling within a team of data scientists, engineers and PMs. The role offers impact across retail and supply chain use cases, with a strong emphasis on practical, scalable ML in a data-rich environment.

Pay / Benefits

• colleague discount on shopping
• pensions and life cover
• performance-related bonus up to 5%
• annual holiday allowance with option to buy extra week
• season ticket loans
• cycle to work scheme

Responsibilities

• Develop in-house data science solutions to automate decision-making and provide insights
• Design and develop data science products in cross-functional agile squads
• Deliver high-quality analyses to inform future development
• Contribute to team learning, knowledge sharing and upskilling
• Tackle complex challenges at scale across retail datasets

Key requirements

• Degree level education in mathematical, statistical or STEM discipline
• Proven Python and SQL experience delivering ML solutions in corporate or strong academic context
• Solid statistical foundation (regression, hypothesis testing, experimental design)
• Strong presentation and business acumen; ability to explain complex topics to non-technical audiences
• Independent working style with initiative
• Experience with scikit-learn and tree-based models
• Proficiency in Git and software engineering best practices

• Strong communication
• Business acumen
• Independent initiative
• Python
• SQL
• scikit-learn

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