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About the Role
As an AI & Data Scientist, 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. Your work will help accelerate the delivery of innovative AI solutions within a regulated environment.
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
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
- 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
Skills
- AI
- Data Science
- Machine Learning
- Artificial Intelligence
- Statistical Analysis
- Model Development
- Model Evaluation
- Python
- SQL
- Large Language Models
- Agentic Frameworks
- Generative AI
- Cloud-based data and analytics platforms
Education Level
- Bachelor’s degree in AI, Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline
- Advanced degree in a quantitative discipline
About the Company
- 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.
- 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.
Equal Opportunity
- 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.