Data Scientist – Decision Science & Modelling
Skills
Building SimulationDecision SupportDriftMarket ResearchModelingOperations ResearchOptimization
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong grounding in applied statistics modelling data science operational research economics mathematics or related quantitative discipline
- Experience building models that support real-world decisions products or operational processes
- Experience working with uncertainty incomplete information and imperfect datasets
- Ability to move from loosely defined problems to practical analytical solutions
- Strong problem decomposition and structured thinking skills
- Ability to communicate technical concepts clearly to non-technical stakeholders
- Strong coding skills in Python or R
- Experience developing analytical solutions in code rather than primarily through spreadsheet-based analysis
- Experience taking analytical models from prototype through to operational deployment
Nice to have
- Analytical
- Collaborative
- Detail-oriented
- Commercially aware
- Structured thinker
- Adaptable
Day to day
- Design and develop statistical, probabilistic and simulation-based models that turn complex business questions into practical decision tools.
- Work with imperfect and evolving datasets to estimate missing information, quantify uncertainty and test key assumptions.
- Partner with Engineering, Product and Business teams to translate analytical models into deployable solutions that deliver measurable value.