Data Science Manager
$62,000–$115,000 year
HybridBracknell, England, United Kingdom
Job Summary
Analyze complex data sets to support actionable insights and recommendations within Commercial, Retail, and Supply Chain domains. Design and develop end-to-end solutions for Demand Forecasting, Price Optimisation, and constrained optimisation tasks like markdown optimisation and safety stock management. Transform data and build models to optimise customer experience, revenue generation, and cost reduction while partnering with multidisciplinary agile teams including ML Engineers and Architects. Manage stakeholders and team members to deliver on the assigned business roadmap, adopting agile practices and applying AI tools to enhance workflow efficiency.
Required Qualifications
- Hands-on Expertise: Proficient in data science, with coding experience in Python and SQL, and the ability to mentor others
- Technical Proficiency: Experience with ML Ops (Vertex AI), Git version control and software engineering best practices whilst using AI effectively to augment these best practices
- Problem-Solving and Innovation: A passion for tackling business challenges and applying new data science techniques
- Communication and Collaboration: Excellent communication skills, experience working in cross-functional teams, and the ability to build data science roadmaps with stakeholders
- Business Acumen: Adept at working with stakeholders to identify and prioritise key problems, and optimise against KPIs to achieve their objectives
- AI & Learning Mindset: Passion for continuous learning, with a desire to apply AI tools effectively to optimise day-to-day work processes
- Hybrid working: This is a hybrid working role, therefore your time will primarily be split between working from home and Bracknell Head Office
- expectation to visit other locations as the need arises
- Office once a week to connect
- pre-employment vetting (which may include DBS checks for successful candidates)
- financial probity checks may also be required for some of our roles
Desired Qualifications
- Work experience within the Retail or Grocery sectors
- Hands-on experience with Agile methodologies in multidisciplinary product teams
- Experience applying software engineering best practices (e.g., modern tech stack usage like Snowflake, DBT, GitLab)
- Experience working with Cloud technologies (specifically Google Cloud Platform)
- Previous people management experience
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