Data Science Manager

• Own and shape the data science roadmap for products within our Customer Development (CD) portfolio, aligned to commercial priorities and business outcomes
• Lead the design, development, and deployment of diagnostic, predictive, and prescriptive analytics solutions, ensuring robustness, scalability, and interpretability
• Set modelling and analytical standards across the team, covering classical statistical methods, machine learning, and emerging Generative and Agentic AI capabilities
• Ensure solutions are industrialised and production-ready, leveraging cloud platforms (Azure, Databricks) and aligned with MLOps best practices
• Lead, coach, and develop a team of data scientists, supporting both technical growth and career progression
• Foster a culture of high ownership, continuous improvement, and learning, encouraging experimentation while maintaining delivery discipline
• Provide technical guidance and review, acting as a mentor and escalation point for complex analytical challenges
• Partner closely with Product, Engineering, and Business stakeholders to shape problem definitions, prioritise initiatives, and drive adoption of data science solutions
• Translate complex analytics into clear, actionable insights for senior stakeholders, supporting data-driven decision-making
• Balance short-term delivery with long-term capability building, ensuring alignment between local market needs and global product strategy
• Champion agile ways of working, enabling fast-paced experimentation and iterative delivery
• Identify opportunities to build reusable frameworks, scale solutions, and feed innovation into the global CD product pipeline

• Degree qualified in a relevant technical discipline (Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, or similar)
• Proven experience leading data science teams working on complex analytics initiatives in a commercial or product-driven environment
• Strong background in data science modelling, with deep expertise in several of the following: Econometric modelling (Regression, Bayesian approaches) especially in the context of pricing and promotions in the CPG/Retail space
• Time series forecasting
• Simulation and optimisation tools
• Experience designing and industrialising machine learning solutions at scale
• exposure to agent-based AI systems is a strong advantage
• Advanced proficiency in Python, Spark, and modern analytics stacks
• hands-on experience with Databricks and Azure
• Strong people leader with experience coaching and developing talent in multidisciplinary teams
• Excellent communicator, able to influence and align senior stakeholders through clear storytelling and data-driven narratives
• Strategic thinker with the ability to prioritise effectively and focus teams on what delivers the most value
• Comfortable operating in a fast-paced, global, and ambiguous environment, balancing delivery with longer-term vision
• High ethical standards in data usage, governance, and decision-making

Exposure to agent-based AI systems is a strong advantage

• Health insurance (including prescription drug, dental, and vision coverage)
• retirement savings benefits
• life insurance and disability benefits
• parental leave
• sick leave
• paid vacation and holidays
• access to numerous voluntary benefits