Data Scientist Associate

Fairygodboss; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

JPMorganChase in Bengaluru seeks a Data Scientist to apply AI/ML to product analytics, guide business decisions, and help shape the product roadmap across cross-functional teams.

You will work with Product, Design, Risk, and Engineering to translate questions into analytical solutions, engineer data products, and deliver measurable outcomes.

Qualifications

• Bachelor's degree in statistics, economics, mathematics, or engineering with 4+ years of experience in AI/ML or data science.
• Advanced Python, data structures, and algorithms
• Experience in building Conversational AI applications and in orchestrating AI/ML services for building a complete solution
• Curiosity and demonstrated initiative in learning and applying AI/LLM technologies to business problems and projects.
• Strong critical thinking and analytical skills, with attention to detail.
• Excellent written and verbal communication skills
• Ability to multitask, prioritize effectively, and demonstrate strong organizational and problem-solving skills.
• Strong skills in designing, developing, and operationalizing data products.

Responsibilities

• Conduct deep-dive analyses to generate actionable insights and recommendations, using data-driven storytelling to demonstrate value and influence product roadmap initiatives.
• Identify business problems and opportunities where AI/LLM-based solutions can create value; design and develop end2end solutions that improve decision-making, enhance customer experiences, and drive measurable business outcomes.
• Collaborate with cross-functional PXT teams, including Product, Design, and Engineering, to inform product development.
• Serve as an analytics subject-matter expert by formulating problem statements, sizing opportunities, and defining success metrics.

Skills

Python

Conversational AI

AI/LLM

Analytical thinking

Communication skills

Multitasking

Data products

Problem solving

Education

Bachelor's degree in statistics/economics/mathematics/engineering

Tools

GitHub Copilot

Job description

We have an exciting opportunity for you to enhance your career in Data & Analytics and drive impactful analytics and influence product roadmap initiatives..

As a Data Scientist within the Auto Finance Data & Analytics team, you will leverage advance analytics and AI/ML to support product teams, build analytical solutions, guide strategic business decisions, and enable growth initiatives. You will partner closely with Product, Technology, Design, Risk, and other cross-functional teams to translate complex business questions into analytical and AI/ML solutions. The ideal candidate is a hands-on analytics practitioner who combines strong technical skills, business judgment, intellectual curiosity, and a passion for applying modern analytics and technology to deliver business outcomes.

Job responsibilities

• Conduct deep-dive analyses to generate actionable insights and recommendations, using data-driven storytelling to demonstrate value and influence product roadmap initiatives.
• Identify business problems and opportunities where AI/LLM-based solutions can create value; design and develop end2end solutions that improve decision-making, enhance customer experiences, and drive measurable business outcomes.
• Collaborate with cross-functional PXT teams, including Product, Design, and Engineering, to inform product development.
• Serve as an analytics subject-matter expert by formulating problem statements, sizing opportunities, and defining success metrics.

Required qualifications, capabilities, and skills

• Bachelor's degree in statistics, economics, mathematics, or engineering with 4+ years of experience in AI/ML or data science .
• Advanced Python, data structures, and algorithms
• Experience in building Conversational AI applications and in orchestrating AI/ML services for building a complete solution
• Curiosity and demonstrated initiative in learning and applying AI/LLM technologies to business problems and projects.
• Strong critical thinking and analytical skills, with attention to detail.
• Excellent written and verbal communication skills
• Ability to multitask, prioritize effectively, and demonstrate strong organizational and problem-solving skills.
• Strong skills in designing, developing, and operationalizing data products.

Preferred qualifications, capabilities, and skills

• Hands-on experience building Agentic AI/LLM solutions.
• Familiarity with Github CoPilot or similar tools.
• Prior exposure to marketing, competitive intelligence, or strategic analytics
• Highly organized, intellectually curious, and able to manage multiple priorities effectively.

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.