# Applied AI ML Lead - Senior Data Scientist Source: https://realanalystjobs.com/job/applied-ai-ml-lead-senior-data-scientist-jpmorgan-chase-2344e6c2 Applied AI ML Lead - Senior Data Scientist at JPMorgan Chase, an on-site role based in Bournemouth, UK. Posted on 10 November 2026, read from JPMorgan Chase's own careers page (Oracle HCM), which RealAnalystJobs re-checks daily and removes the role when it closes. JPMorgan Chase is on the Home Office register of licensed visa sponsors. Updated 15 November 2026. ## Key facts - Company: [JPMorgan Chase](https://realanalystjobs.com/companies/jpmorgan-chase) - Location: Bournemouth, UK - Work mode: On-site - Posted: Nov 10, 2026 - Employment type: Full time - Source: JPMorgan Chase's careers page (Oracle HCM), re-checked daily ## Visa sponsorship The posting does not say. JPMorgan Chase had H-1B petitions approved for 2,780 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/jpmorgan-chase#h1b-record) Licensed UK sponsor. Licensed by the Home Office to sponsor Skilled Worker visas (register of 27 Oct 2026). A licence means the employer can sponsor; it does not mean every role will be sponsored. Listed as JPMorgan Chase Bank, National Association (London). ## About this role Job Summary Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about challenging the status quo and striving to be best in class. As a Vice President, Data Scientist in the Data Science team, you will help us shape the future of financial services by developing and implementing advanced AI solutions. You will collaborate with product, engineering, and business partners to create impactful, scalable tools that drive real business value. In this role, you will have the opportunity to experiment, learn, and innovate alongside a diverse team, leveraging your expertise in data science and finance. Together, we will deliver solutions that transform how we operate and serve our clients. Join us to make a meaningful difference and grow your career in a dynamic, inclusive environment. Job Responsibilities • Demonstrate proficiency in the end-to-end model development lifecycle, including planning, execution, continuous improvement, risk management, and ensuring solutions are scalable and aligned with business objectives. • Design and implement multi-agent systems, including orchestration layers that coordinate specialized agents, manage task routing, and integrate human-in-the-loop (HITL) controls. • Implement robust drift monitoring and model retraining processes to maintain accuracy and performance through ongoing performance monitoring. • Define and implement evaluation frameworks for AI/agentic systems, including prompt quality, agent performance, and business outcome metrics. • Collaborate with senior leaders to re-engineer processes by embedding AI into current workflows, driving change and efficiency. • Design, build, and deploy impactful AI and data-driven applications using cloud, data mesh, and knowledge base technologies such as centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights. • Integrate advanced analytics models and applications into operational workflows to ensure business value and adoption. • Communicate analytical findings and recommendations to senior leadership. Required Qualifications, Capabilities, and Skills • Experience in data science, analytics or a related field. • Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. • Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. • Experience with A/B experimentation and the ability to develop and debug production-quality code. • Strong written and verbal communication skills, with the ability to convey technical concepts and results to both technical and business audiences. • Scientific mindset with the ability to innovate and work both independently and collaboratively within a team. • Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations. • Proven experience building and deploying multi-agent systems, including use of orchestration frameworks (e.g. LangGraph, ADK), agent design patterns, and production-grade system integration. Preferred Qualifications, Capabilities, and Skills • Advanced degree (Master’s or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field is preferred. Description from JPMorgan Chase's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/applied-ai-ml-lead-senior-data-scientist-jpmorgan-chase-2344e6c2) and use Apply now there to reach the employer's application. The listing is re-checked against JPMorgan Chase's careers page daily and removed when it closes. ## JPMorgan Chase 176 open analyst roles on Real Analyst Jobs. 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