Data Scientist Associate Senior - AI/ML, Python

Job Description

We have an exciting opportunity for you to leverage AI/ML to deliver actionable insights across the Card business.

As a Data Science Senior Associate within the Card Data and Analytics team, you will leverage your skills and experience in building insights from advanced analytics, Gen AI/LLM tools, and data querying to support our Credit Card business. This role combines consulting know-how, analytical proficiency in statistics, data science, machine learning/AI, proficiency in SQL/Python programming, and visualization methods.

Job Responsibilities

• Uncover novel use cases of Big Data analytics for the Credit Card business.
• Drive data science/AIML use case development supporting the Card business.
• Help partners define business problems and scope analytical solutions.
• Build an understanding of the problem domain and available data assets.
• Research, design, implement, and evaluate analytical approaches and models.
• Perform ad-hoc exploratory statistics, data mining, and model testing.
• Investigate data visualization techniques for conveying key findings.
  
  

Required Qualifications, Capabilities, And Skills

• Bachelor’s degree in a relevant quantitative field and 6+ years of data analytics experience or advanced degree in an analytical field.
• Exceptional analytical, quantitative, problem-solving, and communication skills.
• Demonstrated intellectual curiosity for solving business problems.
• Excellent leadership, consultative partnering, and collaboration skills.
• Knowledge of statistical software packages (e.g., Python, R, SAS) and data querying languages (e.g., SQL).
• Experience with modern data science tools (e.g., OpenAI, SQL, Spark, Python).
  
  

Preferred Qualifications, Capabilities, And Skills

• Understanding of key drivers within the credit card P&L.
• Financial services background preferred.
• M.S. equivalent preferred.
  
  

ABOUT US

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.

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.