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Principal data scientist

London
Harnham Search & Selection
Data scientist
Posted: 6 July
Offer description

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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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