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.