Data Scientist Associate - AI/ML, Python

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role.

We have an exciting opportunity for you to leverage data science methods to deliver actionable insights across the Card business.

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

Job Responsibilities

• Leverage your knowledge and analytical skills to uncover novel use cases of Big Data analytics for the Credit Card business.
• Support development of data science / AIML use cases for the Card business.
• Help partners in the Card business define their business problems and scope analytical solutions.
• Build an in-depth understanding of the Card domain and available data assets.
• Research, design, implement, and evaluate analytical approaches and models.
• Perform ad-hoc exploratory analyses and data mining tasks on diverse datasets.
• Communicate findings and obstacles to stakeholders to drive delivery to market.
  
  

Required Qualifications, Capabilities, And Skills

• Bachelor’s degree in a relevant quantitative field required in an analytical field (e.g., Statistics, Economics, Applied Math, Operations Research, other Data Science fields).
• 4+ years of hands-on experience with data analytics; experience evaluating complex business problems and devising recommendations.
• Exceptional analytical, quantitative, problem-solving, and communication skills.
• Excellent leadership, consultative partnering, and collaboration across teams.
• Knowledge of statistical software packages (e.g., Python) and data querying languages (e.g., SQL).
• Experience across a broad range of modern analytics tools (e.g., Snowflake, Databricks, SQL, Spark, Python).
  
  

Preferred Qualifications, Capabilities, And Skills

• Understanding of the key drivers within the credit card P&L is preferred.
• Financial services background preferred, but not required.
• Master’s degree or equivalent in an analytical field.
  
  

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.