Develop and deploy AI and machine learning solutions for workforce analytics. Conduct statistical analyses, experiments, and model evaluations; build scalable model factories and evaluation frameworks; apply generative AI and agentic development approaches; collaborate with business, product, and technology teams; communicate insights; and ensure compliance with risk, control, and governance requirements.
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.
As an AI & Data Scientist in the HR Data & Analytics team, you will apply advanced analytics, machine learning, and artificial intelligence techniques to transform workforce data into actionable insights and solutions. You will partner with business leaders, product teams, and technologists to develop models, evaluate outcomes, and deliver AI-powered capabilities that support evidence-based workforce decisions. You will contribute to building an artificial-intelligence-native operating environment, focusing on model factories, evaluation frameworks, and agentic engineering tools. Your work will help accelerate the delivery of innovative AI solutions within a regulated environment.
Job Responsibilities:
- 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
Required Qualifications, Capabilities, and Skills:
- 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
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.
JPMorganChase London, England Office
25 Bank Street, Canary Wharf, London, United Kingdom, E14 5JP
Similar Jobs
Financial Services
Design, build, and deploy scalable ML services combining NLP, CV, and statistical methods. Collaborate with engineers, cloud and SRE teams to productionize models, ensure observability and compliance, and maintain models over time. Communicate results to stakeholders and document processes for regulatory needs.
Top Skills:
AutoencodersAWSAzureBig Data TechnologiesCnnDockerDvcGCPGrpcHelmKubeflowKubernetesMlopsPandasPythonPyTorchRayRestTransformers
.png){kind=logo}
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Leads legal, commercial, and strategic support for Carnival Films’ scripted television slate. Responsibilities include negotiating and drafting development, production, financing, rights, talent, distribution, and exploitation agreements; advising on intellectual property, clearances, chain of title, tax incentives, and production finance; managing external counsel; supporting projects from development through delivery; and partnering with creative, production, finance, and commercial stakeholders.
eCommerce • Fashion • Retail • Sales • Wearables • Design
Provides personalized styling and product recommendations, builds customer relationships, drives sales, guides customers through purchases, and supports checkout and stockroom operations. Maintains strong product and brand knowledge, creates complete looks, uses storytelling to achieve results, and contributes to a collaborative retail team. Requires flexible availability, including nights, weekends, holidays, and high-traffic retail periods.
Top Skills:
Pos
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
