Location: Manchester (Hybrid – 2 days per week in office)
A disruptive Manchester-based financial services SaaS company is expanding its newly formed Research & Data Science function.
Working closely with the Head of Research Data Science & Research and fellow Research Data Scientists, you’ll join in a senior capacity, playing a critical role in designing, testing and productionising advanced modelling approaches that power next-generation simulation and optimisation systems.
This is a rare opportunity to sit at the intersection of deep research, experimentation and real commercial deployment.
The Role
You will lead complex research initiatives and ensure outputs move beyond proof-of-concept into scalable, production-ready systems.
Key responsibilities include:
- Designing hypothesis-driven research frameworks and simulation environments
- Developing advanced statistical and machine learning models to solve multi-objective optimisation problems
- Contributing to model orchestration, synthetic data generation and probabilistic matching frameworks
- Evaluating model trade-offs, benchmarking approaches and validating system-level outcomes
- Exploring frontier methods such as reinforcement learning, Bayesian hierarchical modelling and generative AI
- Collaborating closely with engineering to ensure models scale effectively in production environments
- Translating research findings into clear, commercially relevant insights
About You
We’re looking for someone with deep research capability and proven commercial application.
You will have:
- Proven experience taking research from experimentation into live production systems
- Advanced expertise in statistical modelling, optimisation and machine learning
- (Bayesian methods, MCMC, reinforcement learning, multi-objective optimisation, synthetic data)
- Strong experimental design and validation experience, with a focus on reproducibility
- Hands-on Python and SQL skills
- Experience working in big-data and cloud-native environments (Spark, Databricks, Azure ML or similar)
- Understanding of governance, model explainability and ethical AI considerations
- The ability to communicate complex ideas to technical and non-technical stakeholders
Experience within fintech, payments or other high-stakes data environments is highly desirable.
Why Join?
- Be part of a greenfield Research & Data Science function
- Work on advanced simulation and optimisation problems with real-world commercial impact
- Strong investment in experimentation and innovation
- Competitive salary and benefits
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