Applied AI ML - Senior Associate

JPMorgan Chase & Co., City of Westminster

Applied AI ML - Senior Associate

Salary not available. View on company website.

JPMorgan Chase & Co., City of Westminster

  • Full time
  • Permanent
  • Onsite working

Posted 1 week ago, 9 Sep | Get your application in now before you're too late!

Closing date: Closing date not specified

Job ref: bd33c51b9e3645598ada4006c33e54c5

Location ref: City of Westminster

Full Job Description

Join us in redefining how artificial intelligence accelerates business impact. As an AI & Data Scientist, you have the opportunity to shape the future of workforce analytics and drive meaningful change. You'll collaborate with talented colleagues, leverage cutting-edge tools, and contribute to a pioneering operating environment. We invest in your growth, offering hands-on experience and the chance to make a real difference. Your expertise will help us deliver faster, smarter solutions that empower our organization.,

  • Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges
  • Conduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations
  • Contribute to model factories and evaluation frameworks that improve model quality, scalability, and operational efficiency
  • Apply agentic, specification-driven, and evaluation-driven development approaches to accelerate solution delivery
  • Partner with business stakeholders to translate requirements into analytical solutions and measurable outcomes
  • Collaborate with technology teams to build scalable, reliable, and secure analytics and AI products
  • Identify opportunities to reduce costs, improve controls, enhance employee experiences, and expand organizational capabilities through data-driven solutions
  • Support adoption of reusable methodologies, tools, and vendor capabilities where appropriate
  • Communicate findings and recommendations clearly to technical and non-technical audiences
  • Ensure adherence to all applicable risk, control, and governance requirements

    Bachelor's degree in AI, Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline
  • Experience developing and deploying machine learning or AI solutions using modern tools and techniques
  • Working knowledge of large language models, agentic frameworks, or generative AI technologies
  • Experience with statistical analysis, experimentation, and model evaluation methodologies
  • Proficiency in Python, SQL, and data science tooling used in enterprise environments
  • Strong analytical, problem-solving, and communication skills
  • Ability to manage multiple priorities and deliver results in a collaborative environment
  • Preferred Qualifications, Capabilities, and Skills:
  • Advanced degree in a quantitative discipline
  • Experience building automated machine learning or model evaluation workflows
  • Experience with AI, machine learning, or analytics solutions in a regulated environment
  • Familiarity with cloud-based data and analytics platforms
  • Experience collaborating across business, product, and technology teams

    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., 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.

Direct job link

https://www.jobs24.co.uk/job/applied-ai-ml-senior-associate-127365822
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