At a Glance
- Tasks: Lead the design and deployment of optimisation solutions to solve complex operational challenges.
- Company: Join a FTSE 100 organisation transforming its decision-making capabilities.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with significant career advancement potential.
- Why this job: Make a real impact on strategic decisions using advanced analytics and operational research.
- Qualifications: Expertise in Operational Research techniques and strong programming skills in Python.
The predicted salary is between 60000 - 80000 £ per year.
We're partnering with a FTSE 100 organisation undergoing a significant transformation across its operational and decision-making capabilities. As part of this journey, we're seeking a Senior Operational Research Data Scientist to develop and deploy sophisticated optimisation and decision-support solutions that drive measurable business outcomes. This is a senior, hands-on role for someone who enjoys solving complex operational challenges using mathematical modelling, optimisation, simulation, and advanced analytics. You'll work closely with business leaders and technical teams to influence strategic decisions and enhance operational performance at scale.
What You’ll Be Doing:
- Leading the design, development, and deployment of Operational Research solutions from concept through to implementation
- Solving complex operational challenges using optimisation, mathematical programming, simulation, and decision science techniques
- Translating ambiguous business problems into structured analytical models and actionable recommendations
- Building and deploying optimisation models focused on resource allocation, scheduling, planning, routing, network design, and operational efficiency
- Developing decision-support tools that enable stakeholders to make data-driven operational and strategic decisions
- Working closely with engineering, data, and business teams to embed analytical solutions into operational processes
- Providing technical leadership across optimisation methodologies, solution architecture, and modelling best practices
- Ensuring solutions are scalable, robust, and deliver measurable business value
- Influencing strategic roadmaps and helping shape the future direction of advanced analytics and Operational Research capabilities
What We’re Looking For:
- Strong expertise in Operational Research techniques including: Linear Programming (LP), Mixed Integer Programming (MIP), Constraint Programming, Heuristic and Metaheuristic Optimisation, Simulation Modelling, Network Optimisation, Decision Analytics
- Strong programming skills in Python and experience with optimisation libraries such as Gurobi, CPLEX, OR-Tools, Pyomo, or similar
- Experience delivering production-grade optimisation and decision-support solutions
- Ability to structure and solve complex, poorly defined business problems
- Excellent stakeholder management skills with the ability to communicate technical concepts to non-technical audiences
- A pragmatic, delivery-focused mindset with strong ownership and accountability
- Experience within large-scale operational environments such as transport, logistics, supply chain, utilities, infrastructure, aviation, retail, or manufacturing would be advantageous
Why Apply?
This is an opportunity to work on business-critical optimisation challenges within one of the UK's largest organisations, delivering real-world impact through Operational Research and decision science while influencing strategic outcomes across the enterprise.
Operational Research Data Scientist employer: Xpertise Recruitment
At Xpertise Recruitment, we pride ourselves on being an exceptional employer, particularly for those passionate about making a difference in the medical technology field. Our Bristol location fosters a collaborative work culture where innovation thrives, and employees are encouraged to grow through mentorship and personal development opportunities. With competitive benefits like hybrid working and private medical insurance, we offer a fulfilling environment for Senior Electronics Engineers looking to contribute to life-changing projects.
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We think this is how you could land Operational Research Data Scientist
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We think you need these skills to ace Operational Research Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Xpertise Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Xpertise Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
