Applied AI ML Lead – Senior Data Scientist

Salary: £62,000 - 102,000 per year

Requirements:

• 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 such as LangGraph or ADK, agent design patterns, and production-grade system integration.
• An advanced degree, such as a Masters or Ph.D. in Data Science, Computer Science, Mathematics, Engineering, or a related field, is preferred.

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 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 and 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.

Technologies:

• AI
• Cloud
• Marketing
• Matrix

More:

We are JPMorgan Chase, a global leader in financial services, and we are looking for a Vice President, Data Scientist to join our Data Science team within Risk Management and Compliance. We help shape the future of financial services by developing and implementing advanced AI solutions that create real business value. You will collaborate with product, engineering, and business partners in a dynamic, inclusive environment where we challenge the status quo, innovate, and deliver scalable solutions. We offer the opportunity to experiment, learn, and grow while working as part of our Corporate Functions team supporting finance, risk, human resources, marketing, and other essential business areas. We are committed to diversity, inclusion, equal opportunity, and reasonable accommodations for applicants and employees.

last updated 34 week of 2026