At a Glance
- Tasks: Use machine learning and simulation to tackle real-world operational challenges.
- Company: Global tech organisation with a focus on innovation and impact.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Ideal for those passionate about operational environments like transport and logistics.
- Why this job: Make a real difference by developing models that influence decision-making.
- Qualifications: Experience in machine learning, statistical modelling, and SQL.
The predicted salary is between 45000 - 60000 £ per year.
A global technology organisation is seeking a Simulation & Operational Modelling Scientist who wants to apply machine learning, simulation and advanced analytics to solve real-world operational challenges. This isn’t a role where your work disappears into reports. This is an opportunity to work with large-scale operational datasets and develop models that help improve forecasting, planning and decision-making in a high-volume operational environment.
You’ll work on complex problems where your analysis has a genuine purpose, developing predictive models, identifying constraints and building simulation tools that help answer important “what if?” questions around future demand and performance. This is a role where you’ll be trusted to take ownership of your work; understanding complex problems, selecting the right approach, validating your results and clearly explaining the reasoning behind your recommendations.
You won’t just be producing outputs. You’ll be expected to understand how you got there, why the approach was right and how your insights support operational decision-making, while continuing to develop your technical capability in a complex real-world environment.
You’ll be involved in:
- Developing machine learning models to improve forecasting and operational planning
- Applying time-series analysis and feature engineering techniques across large datasets
- Building and improving discrete event simulation models to test different scenarios
- Identifying trends, patterns and potential operational constraints
- Translating technical analysis into clear insight and recommendations
Experience required:
- Applied machine learning and statistical modelling
- Forecasting, simulation, optimisation or operational research techniques
- R programming (Python experience beneficial)
- SQL and working with large datasets
- Ability to explain technical findings clearly to different audiences
A background within transport, logistics, aviation, engineering, manufacturing, supply chain or similar operational environments would be highly advantageous. This would suit someone who enjoys modelling how things work, testing scenarios and seeing their work influence real-world decisions.
Simulation & Operational Modelling Scientist employer: Datatech Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the secure government and defence sectors. Employees benefit from meaningful projects that have a direct impact on national security, alongside opportunities for professional growth and development in cutting-edge technologies. With a hybrid working model and a focus on employee well-being, this role provides a unique chance to contribute to critical transformation programmes while enjoying a supportive and engaging workplace.
