At a Glance
- Tasks: Lead data science strategy and mentor a high-performing team to solve real-world challenges.
- Company: Join a leading high street fashion brand with a commitment to innovation and inclusivity.
- Benefits: Competitive salary up to £85,000, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on mentorship and career development.
- Why this job: Make a real impact in the fashion industry using data to drive change and improve customer experiences.
- Qualifications: MSc or PhD in relevant fields and expertise in Python, R, SQL, and machine learning techniques.
The predicted salary is between 63000 - 77000 £ per year.
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: Mid-Senior level
Employment type: Full-time
Job function: Analyst and Engineering
Industries: Retail Apparel and Fashion
Hiring: Principal Data Scientist employer: Harnham
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