Design and implement optimization models addressing network design, inventory positioning, demand forecasting, and transportation efficiency
Apply advanced analytics techniques to improve supply chain performance, cost efficiency, service levels, and sustainability outcomes
Analyze, cleanse, and transform large, imperfect datasets to generate actionable insights
Develop algorithms using optimization, machine learning, and statistical modeling techniques to solve complex supply chain problems
Implement production‑ready analytical solutions using Python, R, or comparable programming languages
Build dashboards and analytical outputs that communicate insights to technical and non‑technical stakeholders
Collaborate with data scientists, analysts, and architects to ensure scalable and aligned analytical solutions.

5+ years of experience in data science, analytics, or optimization roles
Degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Engineering, or a related quantitative discipline
Application of programming languages such as Python or R for analytical and modeling solutions
Application of machine learning and statistical modeling techniques within supply chain contexts
Utilization of optimization libraries such as OR‑Tools, Pyomo, or Gurobi
Application of SQL or similar tools for data manipulation and analysis
Translation of business problems into analytical approaches that deliver actionable outcomes.

Data Scientist – Supply Chain Optimisation

Key skills