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Senior Data Scientist - Asset Risk Modelling London - Hybrid, 3 days in office £85,000 - £90,000 + Bonus + Great Pension + Private Healthcare + 28 days Holiday + Hybrid Working This is a brilliant opportunity for a Senior Data Scientist with strong experience in model risk management, pricing, and insurance to join a market-leading organisation during a key period of growth and innovation. The Asset Risk function is responsible for forecasting key financial risks such as Residual Value, SMR, Insurance Lease Pricing, Economic Capital, and Customer Pricing. As part of their continued expansion, they are now seeking a talented Senior Data Scientist to join the Asset Risk Modelling Team and help shape the future of their modelling capabilities. In this role, you will take ownership of developing, maintaining, and enhancing advanced forecasting and pricing models that underpin critical business decisions. Working closely with the Modelling Manager and wider stakeholders, you'll ensure the robustness and transparency of all models, while continuously improving methodologies, data use, and analytical processes. You will also play a key role in delivering the model risk management framework across the Asset Risk function. The ideal candidate will be an experienced Data Scientist/Quantitative Modeller with a strong technical background in Python, R, or similar tools, and proven experience in model development within pricing, insurance, or financial risk. You'll combine deep technical expertise with strong business understanding, communicating insights effectively to both technical and non-technical audiences. A fantastic opportunity to join a forward-thinking organisation where you'll have genuine influence, work on high-impact projects, and develop your career within a collaborative and progressive environment. The Role: Develop, implement, and maintain advanced statistical and machine learning models for pricing and risk forecasting Support the delivery and enhancement of the model risk management framework within the Asset Risk function Collaborate with business SMEs to align model outputs with strategic objectives and ensure transparency in assumptions and methodologies Provide technical guidance on data, modelling techniques, and analytical best practices Lead the continuous improvement of modelling tools, documentation, and governance standards Work closely with cross-functional teams across Asset Risk, Product, and Data to ensure consistent and efficient delivery The Person: Proven experience as a Senior Data Scientist, Risk Modeller, or similar role Strong technical skills in Python, R, or equivalent for statistical modelling and forecasting Experience within insurance, pricing, or financial risk environments Excellent understanding of model risk management principles and governance Strong communication skills with the ability to explain technical outputs to senior stakeholders Comfortable working in a hybrid model, 3 days per week in the London office

We are currently seeking a Technical Architect (A.I) to work with our public sector client 6 months contract £700 inside IR35 Location: London Bristol or Manchester / Hybrid / Flexible on remote working The ideal candidates will have a proven Artificial Intelligence Technical Architecture background within public sector/Government Design and architect end-to-end AI solutions that align with government digital strategies and the Technology Code of Practice, combining off-the-shelf components with bespoke code Collaborate with senior technical stakeholders to define AI strategy and roadmaps for digital transformation initiatives Ensure AI solutions integrate effectively with existing government technology infrastructure and legacy systems Design scalable, cloud-first AI architectures following government security and data protection standards Lead the selection and technical design of appropriate AI technologies, platforms, and tools Develop documentation and processes for AI accountability and explainability Present technical concepts and recommendations to non-technical senior leaders Engage with external partners, industry experts, and academic institutions to produce architectural solutions fit for programme purpose Define and oversee prototyping and exploratory development at speed to explore and mitigate technical risks. Extensive experience in AI/ML architecture and system design (minimum 2 years) with proven expertise in hands-on coding AI solutions Deep knowledge of machine learning frameworks, cloud platforms (AWS, Azure, GCP), and MLOps(machine learning operations) practices. Deep knowledge about costing of AI models to produce reasonable ROI and modular reusable services with moderate level of maintenance Understanding of data architecture, API design, and microservices patterns Knowledge of government technology standards and security frameworks Working knowledge about appropriate Data Ethics Frameworks for AI initiatives, ensuring responsible and transparent AI deployment