Data Science Manager

Job Description We are Reckitt Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege. Sales Our Sales teams help to deliver Reckitt's purpose by building shared success with our customers, making access to the highest quality hygiene, wellness, and nourishment possible in-stores and online. Within Sales, we're focused on achieving outperformance across all of our channels, operating in highly competitive categories. This focus results in a dynamic, fast paced environment where cross functional teams are encouraged to collaborate to achieve success. We have around 10,000 sales people across the world, within market roles and ranging in areas like Field Sales, Key Accounts, Trade Marketing and Category Development. About The Role Immerse yourself in the dynamic world of e-commerce with Reckitt, where your expertise as a Customer / Key Account Manager can shine. In this role, you will nurture pivotal relationships with medium and small accounts, steering their growth with your strategic insight. Your contribution will not only support our clients'success but also drive Reckitt's goals. We are looking for a champion of customer satisfaction who will lead from the front, ensuring that our e-commerce strategies resonate with partners and reflect our commitment to excellence. Your responsibilities - Deliver complex insight use cases through compelling visualizations and narratives, translating analytical findings into actionable business outcomes. - Analyze consumer sales patterns and digital marketing performance to optimize spend and recommend data-driven actions that improve ROI. - Build and optimize machine learning models using regression and gradient boosting techniques (e.g., XGBoost, LightGBM), with a strong grasp of explainable ML to interpret model drivers and parameter weights. - Design and deploy elasticity and price optimization models to inform pricing and promotional strategies across digital channels. - Create innovative AI use cases that solve business problems and deliver measurable impact. - Design, implement, and manage experimental frameworks (e.g., A/B testing) to validate new ideas and guide continuous improvement. - Lead the development and enhancement of eCommerce dashboards, ensuring they remain the central hub for decision-making across teams. - Manage and mentor a team of data analysts and BI developers, ensuring clear task ownership, domain expertise, and timely delivery of high-quality insights. - Develop and execute a BI and digital transformation strategy, integrating internal and external data sources to build a comprehensive market model and scalable insights channels. - Champion a culture of data-driven decision-making, empowering teams with the tools, insights, and mindset needed to drive performance. The experience we're looking for - Bachelor's or Master's degree in Engineering, Computer Science, Technology, or related fields. An advanced degree is preferred. - Minimum 6+ years of experience in data science, with at least 3+ years in a leadership role managing data teams or operations. - Proven leadership ability in managing diverse, high-performing teams and in developing and executing strategic plans to meet business objectives. - Hands-on experience in building and deploying elasticity and price optimization models. - Exceptional collaboration and communication skills, capable of guiding, influencing, and persuading a wide range of stakeholders. - A strong sense of ownership and accountability, coupled with a commitment to delivering high-quality results. - Proficient in the full data analysis lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, and presentation. The skills for success Ecommerce, Analysing sales and Ecommerce data. What we offer With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy. Equality We recognise that in real life, great people don't always tick all the boxes. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.