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 RoleYou 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 environmentsDeveloping advanced statistical and machine learning models to solve multi-objective optimisation problemsContributing to model orchestration, synthetic data generation and probabilistic matching frameworksEvaluating model trade-offs, benchmarking approaches and validating system-level outcomesExploring frontier methods such as reinforcement learning, Bayesian hierarchical modelling and generative AICollaborating closely with engineering to ensure models scale effectively in production environmentsTranslating research findings into clear, commercially relevant insightsAbout YouWe’re looking for someone with deep research capability and proven commercial application.You will have:Proven experience taking research from experimentation into live production systemsAdvanced 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 reproducibilityHands-on Python and SQL skillsExperience working in big-data and cloud-native environments (Spark, Databricks, Azure ML or similar)Understanding of governance, model explainability and ethical AI considerationsThe ability to communicate complex ideas to technical and non-technical stakeholdersExperience within fintech, payments or other high-stakes data environments is highly desirable.Why Join?Be part of a greenfield Research & Data Science functionWork on advanced simulation and optimisation problems with real-world commercial impactStrong investment in experimentation and innovationCompetitive salary and benefits #J-18808-Ljbffr