Senior Decision Scientist

As a Senior Decision Scientist at VTS, you will own the design and delivery of complex decision systems. You’ll lead the translation of ambiguous goals into robust models and decision products, combining optimisation, simulation, causal evidence and GenAI to inform policy and automation and realise value for our clients.

• Bachelor’s or Master’s in Operations Research, Econometrics, Industrial Engineering, Applied Mathematics, Data Science, or a related quantitative field. PhD preferred.
• 6+ years practical experience with optimisation (LP/MILP, heuristics) and simulation (DES/ABM), plus working knowledge of causal inference or experimentation at scale
• Demonstrated ownership of end‑to‑end decision solutions in production or pilots
• Proficient in Python and SQL with strong engineering practices; comfortable with containers and CI/CD; experience integrating models into services, workflows, or apps
• Able to choose and justify methods, diagnose performance, and communicate trade‑offs to technical and non‑technical stakeholders
• Experience mentoring others and establishing modelling standards and review practices
• Problem framing: Lead discovery to define decision objectives, constraints, KPIs, and data readiness; quantify expected value and risks
• Architecture and methods: Select modelling approaches, design modular architectures, and combine optimisation, simulation, and causal evidence when appropriate
• Build and scale: Implement core models, performance‑tune solvers/simulators, and integrate with data pipelines, APIs, and front‑end experiences
• Experimentation and evaluation: Design robust experiments or quasi‑experiments; set evaluation protocols, stress tests, and rollback plans
• Reuse and standards: Create reusable components, templates, and documentation; uplift code quality, testing, and observability
• Stakeholder leadership: Run technical workshops, translate insights into decisions, and drive adoption with clear narratives and visuals
• Mentorship: Review associate work, coach on method selection and design, and help set sprint scope and acceptance criteria