Data Scientist
Hereford, England, United Kingdom
Type: Permanent, Full Time
Working Pattern: Hybrid, 3 days in the office
Who Are we?
MandM is one of the biggest employers in Herefordshire and one of Europe’s leading online, off-price retailers, selling branded Fashion, Sport & Outdoor products for Men, Women and Children.
We offer our customers fantastic value by partnering with companies who we have built long term relationships with, enabling us to offer our customers big household names and up-and-coming brands, giving fantastic value all year round.
We are located in the heart of Hereford City Centre in our brand new, state of the art office. The modern, stylish workspace was designed to encourage collaborative working, teamwork and creativity - everything that MandM is all about.
As our business continues to grow we are recruiting for a talented Data Scientist o join our growing team.
Why not come be a part of our journey to success and take advantage of all MandM can offer you!
The Role Scope
This is a key role within our growing Data Science team, where you'll use cutting-edge machine learning and AI to solve complex business problems. You'll have the autonomy to lead projects from ideation to deployment, directly impacting our business across departments like Marketing, IT, Operations, and Finance. You'll be working with modern cloud-based tools and technologies, building solutions that drive tangible value.
✨Role key responsibilities
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End-to-end Machine Learning: Lead the design, development, and deployment of machine learning models that solve real-world problems.
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Pushing boundaries with AI: We’re continuing to explore applications for AI across the business, help us show what’s possible and measure the impact of new tools.
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Stakeholder Communication: Translate complex model results into clear, actionable insights for non-technical stakeholders, enabling data-driven decisions.
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Model Management: Own the full lifecycle of deployed models, from monitoring performance and accuracy to identifying opportunities for optimization.
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Strategic Impact: Contribute to our machine learning roadmap, helping to define the future of our data science capabilities.
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Data Stewardship: Collaborate with the team to ensure data integrity, maintain our BI platform, and optimize data structures for efficient analysis.
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Team Collaboration: Share knowledge, best practices, and new ideas with a collaborative team of data scientists.