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.
