Coca-Cola Europacific Partners

We are Coca-Cola Europacific Partners (CCEP) - a dedicated team of 42,000 people, serving customers in 31 markets, who work together to make, move and sell some of the world's most loved drinks. We are a global business and one of the leading consumer goods companies in the world. Lead Data Scientist (Associate Director): About the Role: We are looking for an experienced and forward-thinking Lead Data Scientist to drive impactful data science and AI initiatives. This role blends strategic leadership with hands-on delivery, offering the opportunity to shape innovative solutions while remaining deeply involved in execution. Working closely with senior stakeholders, you will help define, prioritise, and deliver high-value AI and data science projects that align with business goals. You will also play a key role in building and mentoring a high-performing team while championing best practices and innovation across the function. Key Responsibilities: Lead the end-to-end development and delivery of AI and data science projects, ensuring alignment with business priorities Partner with stakeholders to scope, prioritise, and advance initiatives through structured processes such as an AI incubator Manage and mentor a small team of data scientists (internal and third-party), supporting both their technical and professional growth Take ownership of solution adoption, including production handovers and ongoing model performance monitoring Design and implement forward-looking AI proof-of-concepts, contributing hands-on to development where needed Drive innovation and best practices in machine learning, analytics, and data science delivery About You: Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field Extensive experience leading data science and AI initiatives in complex environments Deep expertise in machine learning, statistical modelling, and business analytics Strong leadership, stakeholder management, and communication skills, with the ability to influence across all levels Experience within FMCG or a similar fast-paced industry is highly advantageous Advanced proficiency in Python, SQL, and cloud platforms such as Azure or Databricks Why Join Us? Take ownership of high-impact, business-critical AI initiatives Work at the intersection of strategy and hands-on delivery Lead and shape a growing data science capability Make a measurable difference by delivering solutions that drive real business value We are Coca-Cola Europacific Partners (CCEP) - a dedicated team of 42,000 people, serving customers in 31 markets, who work together to make, move and sell some of the world's most loved drinks. We are a global business and one of the leading consumer goods companies in the world. We help our 2.1 million customers grow, and we are constantly investing in exciting new products, innovative technologies and fresh ideas. This helps us to delight the 600 million people who enjoy our drinks every day. From gender, age and ethnicity to sexual orientation and different abilities, we welcome people from all walks of life and empower unique perspectives. We recognize we've got some way to go, but we'll get there with the support of our people. It's them who drive our future growth.

Are you looking for new challenges and personal growth within Coca-Cola Europacific Partners? Then we have a great opportunity for you! Do you have a personality with the power to influence and connect? Can you sustain the pace to keep on growing? Will you make an impact with your desire to win? Data Scientist Manager: Are you passionate about using data to solve complex business challenges? We're looking for a Data Scientist Manager to join our team and play a key role in developing innovative, data-driven solutions that enhance supply chain performance. This is an exciting opportunity for an analytically minded professional with a strong foundation in statistics and experience applying advanced modelling techniques to real-world business problems. Working closely with cross-functional stakeholders, you will leverage statistical modelling, machine learning, and predictive analytics to improve forecasting accuracy, optimise inventory, and drive operational efficiency. Key Responsibilities: Apply statistical modelling and machine learning techniques to address supply chain challenges, including demand forecasting, inventory optimisation, and replenishment planning. Develop, test, validate, and deploy predictive models using robust statistical methodologies, including regression analysis, time series forecasting, and Bayesian approaches. Partner with supply chain stakeholders, including demand planners and inventory managers, to translate business requirements into actionable analytical solutions. Analyse large and complex datasets to uncover insights that improve service levels, reduce costs, and optimise inventory performance. Contribute to the design and development of scalable data science solutions within cloud-based environments such as Databricks and Azure. Present findings, insights, and recommendations clearly to both technical and non-technical audiences. Support the ongoing development and advancement of data science capabilities across the organisation. Requirements: Essential Qualifications: Master's degree in Statistics, Econometrics, Mathematics, or a related quantitative discipline. Minimum of 4 years' experience in a Data Science, Advanced Analytics, or similar role. Strong understanding of statistical concepts, including: Probabilistic modelling Statistical inference Time series analysis Forecasting methodologies Proficiency in Python or R for data analysis, modelling, and machine learning. Experience applying analytics within a supply chain environment. Strong analytical thinking and problem-solving abilities with a focus on methodological rigour. Excellent communication and stakeholder engagement skills. Ability to collaborate effectively within cross-functional teams. Why Join Us? You'll have the opportunity to work on impactful projects that directly influence business performance and decision-making. Joining our team means being part of a collaborative environment where innovation, continuous learning, and data-driven thinking are valued and encouraged. If you're excited about transforming complex data into meaningful business outcomes and want to make a tangible impact within supply chain operations, we'd love to hear from you. Application If this role is of interest to you please upload a recent copy of your CV and a member of the Talent Acquisition team will be in touch. We believe that equal opportunities means inclusion, diversity and fair treatment for all. We aim to make our recruitment process as comfortable and accessible as possible and would appreciate it if you would advise us of any particular requirements, adjustments or requests you may have to help us ensure that your experience is enjoyable. Job Information: Hiring Manager: Muhammad Shakir Hussain Recruiter: Tegan McColl Grade: Location: United Kingdom : CCEP Site Locations : Uxbridge Spain : Madrid : Madrid