Location: London / Hybrid
Type: Permanent
We鈥檙e working with a fast-growing technology company looking to hire a Senior Data Scientist (Operational Research) to help solve complex, large-scale optimisation problems within its operational network.
This is a senior individual contributor role sitting at the intersection of Operational Research and Data Science. You鈥檒l develop optimisation models and algorithms that directly influence real-world decisions across areas such as scheduling, assignment, pricing and network optimisation.
What you'll be doing
- Designing and developing large-scale optimisation models and algorithms
- Solving complex scheduling, assignment and network optimisation problems
- Applying mathematical programming, heuristics and metaheuristics to real-world challenges
- Building, testing and benchmarking optimisation solutions using Python
- Taking optimisation models from initial concept through to production
- Working closely with Data Scientists, Software Engineers and commercial stakeholders
- Improving the scalability and performance of existing optimisation systems
What we're looking for
- Degree/MSc/PhD in Operational Research or a closely related discipline
- Strong commercial experience applying Operational Research and optimisation techniques
- Strong Python skills
- Experience building optimisation solutions within a commercial/technology environment
- Strong knowledge of areas such as mathematical programming, combinatorial optimisation, heuristics, scheduling or assignment problems
- Experience taking models and algorithms beyond research/prototyping and into real-world production environments
- Comfortable working independently and owning complex technical problems
Experience within logistics, marketplaces, transport, supply chain, routing or network optimisation would be particularly relevant, but isn't essential.
If you're an Operational Research specialist who enjoys turning complex real-world problems into scalable optimisation solutions, I'd be keen to speak.
馃摡 Get in touch directly or apply for more information.