JPMorgan Chase & Co.
Applied AI ML Lead

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Join us to shape the future of artificial intelligence within a global organization. You will have the opportunity to lead impactful initiatives, mentor talented data scientists, and collaborate with diverse teams to deliver AI-powered solutions. We invest in cutting-edge tools and infrastructure, empowering you to accelerate innovation and drive measurable business results. Your expertise will help us build an AI-native operating environment and set new standards for responsible, scalable AI delivery.
As an AI & Data Science Vice President in the HR Data & Analytics team, you will lead the development and deployment of AI and machine learning solutions that transform workforce data into actionable insights. You will manage a portfolio of initiatives, mentor data scientists, and partner with stakeholders across business and technology functions to drive adoption of AI-powered capabilities. Your role will help shape the technical direction of our agenda and deliver measurable business impact within a regulated environment.
Job Responsibilities:
- Lead the design, development, and deployment of AI and machine learning solutions across workforce-focused products and initiatives
- Manage a portfolio of research and development efforts, ensuring alignment to business priorities and measurable outcomes
- Guide teams through the full research lifecycle, from problem framing and experimentation to production deployment
- Develop and enhance model factories, evaluation frameworks, and agentic AI capabilities to improve delivery efficiency and model performance
- Mentor and develop data scientists while fostering a culture of innovation, collaboration, and continuous learning
- Partner with business, product, and technology leaders to identify opportunities for AI-driven improvements
- Influence technical decisions and architecture for scalable, enterprise-grade AI and analytics platforms
- Promote reuse of methodologies, tools, and models across teams and adopt external solutions where appropriate
- Communicate complex technical concepts and business impacts to senior stakeholders
- Ensure compliance with all applicable risk, governance, and control standards
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Required Qualifications, Capabilities, and Skills:
- Demonstrated experience leading projects, workstreams, or teams in a data science or AI environment
- Master’s degree or equivalent experience in a quantitative discipline
- Expertise applying modern AI and machine learning techniques to solve business problems at scale
- Experience with generative AI, large language models, agentic workflows, or advanced automation technologies
- Strong understanding of statistical analysis, experimentation, and model evaluation practices
- Experience delivering solutions in cross-functional, collaborative environments
- Strong communication, stakeholder management, and influencing skills
- Proven ability to drive execution across multiple priorities and deliver measurable business outcomes
Preferred Qualifications, Capabilities, and Skills:
- Experience managing or mentoring data scientists
- Experience building automated model-development or model-evaluation pipelines
- Experience delivering AI and machine learning solutions within a regulated environment
- Experience working with enterprise AI platforms and cloud-based analytics technologies
- Track record of driving adoption of analytics and AI solutions through strong stakeholder partnerships


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About J.P. Morgan
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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