At a Glance
- Tasks: Lead the design and deployment of optimisation solutions to solve complex operational challenges.
- Company: Join a FTSE 100 company 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 in London 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.
StudySmarter Expert Advice🤫
We think this is how you could land Operational Research Data Scientist in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Xpertise Recruitment before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Xpertise Recruitment.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Xpertise Recruitment.
We think you need these skills to ace Operational Research Data Scientist in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Xpertise Recruitment, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Xpertise Recruitment, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Xpertise Recruitment’s attention and show the tangible impact of your work.
How to prepare for a job interview at Xpertise Recruitment
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Xpertise Recruitment.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Xpertise Recruitment.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Xpertise Recruitment.
