Principal Data Scientist

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Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI Revolution

Principal Data Scientist

Up to £85,000

London (Hybrid, 3 days onsite per week)

Company:

Join one of the world’s biggest high street fashion brands, who has been leading the industry for the past 55 years. They are looking for a Principal Data Scientist to lead and scale their data science strategy, helping to unlock insights, optimise performance, and shape the future!

They are on a mission to make a real impact - for our customers and our people. With a strong presence both online and offline, we're committed to driving innovation, embracing inclusivity, and creating meaningful experiences through the power of data.

Responsibilities:

• Own the data science strategy and roadmap across the business
• Build, mentor, and scale a high-performing team of data scientists and analysts
• Create scalable solutions to solve real-world challenges like demand forecasting, personalisation, and customer segmentation
• Translate business problems into data science use cases and deliver measurable outcomes
• Use data-driven insights to streamline workflows and improve decision-making in areas like inventory, logistics, and customer journey
• Measure success through improvements in performance metrics like conversion, retention, stock accuracy, and customer satisfaction

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Expert in Python, R, SQL and a range of ML techniques (e.g., random forests, neural nets, reinforcement learning)
• Track record of delivering high-impact AI projects from concept to production
• Strong communication skills – able to translate complex insights into business value
• Passionate about innovation, mentorship, and driving change through data

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page.

Seniority level

• Seniority level
• Mid-Senior level

Employment type

• Employment type
• Full-time

Job function

• Job function
• Analyst and Engineering
• Industries
• Retail Apparel and Fashion

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