Data Scientist Manager

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.