Associate Data Scientist

Data Scientist Associate

We have an exciting opportunity for you to advance your data science career and shape the future of AI-driven solutions.

As a Data Science Associate in the Card Data & Analytics team, you will develop AI/ML solutions that drive the bottom line for our Credit Card business. You will utilize skills in data analytics, consulting, and programming to support strategic initiatives and deliver actionable insights. Collaborate with partners across the Card business to define problems, scope solutions, and deliver high-quality analytical models. Your work will involve a mix of consulting, data science, and programming, with a focus on driving data science and analytics strategies.

Job Responsibilities

• Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI.
• Drive data science and analytics strategies, including recommendations on analytical products and standards.
• Help partners define business problems and scope analytical solutions.
• Build an understanding of problem domains and available data assets.
• Research, design, implement, and evaluate analytical approaches and models, including GenAI-based methods.
• Perform exploratory statistics and data mining tasks on diverse datasets.
• Communicate findings and obstacles to stakeholders to drive delivery to market.
• Develop subject matter expertise in financial and operational domains.
• Code solutions with strong programming skills.
• Collaborate across teams to deliver the best solutions for clients.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree in a relevant quantitative field and 3 plus years of data analytics experience
• Exceptional analytical, quantitative, problem-solving, and communication skills.
• Intellectual curiosity for solving business problems.
• Leadership and collaboration skills.
• Knowledge of statistical software (e.g., Python, R, SAS) and data querying languages (e.g., SQL).
• Familiarity with GenAI and prompt engineering basics (prompt design, evaluation, guardrails).
• Experience with modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).
• Ability to convey complex information to technical and non-technical audiences.

Preferred Qualifications, Capabilities, and Skills

• Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM quality, cost, and latency.
• Understanding of key drivers within the credit card P&L.
• Financial services background preferred.
• M.S. degree or equivalent.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.