JPMorgan Chase Hiring Data Scientist Associate in Bengaluru India for Freshers and Early Career Professionals Looking to Build a Strong Career in Data Science Analytics and Predictive Modeling
JPMorgan Chase is hiring for the role of Data Scientist Associate in Bengaluru, Karnataka, India. This opportunity is ideal for fresh graduates and early-career professionals who want to start or grow their career in data science, analytics, and predictive modeling within one of the world’s most respected banking and financial services organizations. The role sits within the Consumer and Community Banking division and focuses on using data-driven insights to solve real business problems at scale.
This position offers a rare chance to work with large, complex datasets, modern analytics platforms, and cross-functional teams that include business leaders, engineers, and analytics experts. For candidates who want to apply data science concepts in a real enterprise environment rather than only theoretical projects, this role provides strong exposure and long-term career value.
Job Overview
- Position: Data Scientist Associate
- Company: JPMorgan Chase
- Job Category: Predictive Science
- Business Unit: Consumer & Community Banking
- Location: Bengaluru, Karnataka, India
- Employment Type: Full Time
- Experience Level: Freshers and Early Career Professionals
This role is suitable for candidates who are passionate about data, statistics, machine learning, and turning raw data into meaningful business insights.
About the Role
As a Data Scientist Associate at JPMorgan Chase, you will be part of a team that uses advanced analytics and predictive modeling to support business decision-making across various banking products and services. The role focuses on building data-driven solutions that help improve customer experience, manage risk, optimize operations, and support strategic initiatives.
You will work closely with senior data scientists, business stakeholders, and technology teams to understand business problems, analyze data, and develop models that can be deployed at scale. This role emphasizes practical application of data science concepts in a highly regulated and performance-driven environment.
Key Responsibilities
In this role, the selected candidate will be involved in the following responsibilities:
- Developing and deploying machine learning models to solve business problems in areas such as consumer banking, lending, and risk management
- Designing and building data pipelines and feature engineering frameworks to ensure data quality, scalability, and reliability
- Translating complex data findings into meaningful insights that support strategic and operational decision-making
- Collaborating with cross-functional teams to identify opportunities for analytics-driven improvements
- Owning the production, optimization, and automation of key analytics deliverables
- Monitoring model performance and business metrics to identify areas for continuous improvement
- Staying updated with emerging trends in data science, analytics tools, and industry best practices
The responsibilities may vary depending on the specific project or team assignment, but the core focus remains on delivering actionable insights through data.
Skills and Capabilities Required
To be successful in this role, candidates should possess a strong foundation in data science and analytics. JPMorgan Chase looks for individuals who demonstrate both technical capability and business understanding.
Key skills and capabilities include:
- Formal education or training in data science, analytics, computer science, statistics, or related fields
- Strong proficiency in SQL and Python or R for data extraction, manipulation, and analysis
- Hands-on experience with machine learning models and algorithms
- Solid understanding of statistical methods and their practical applications
- Ability to work independently while delivering high-quality results in a fast-paced environment
- Strong communication skills to explain technical concepts to non-technical stakeholders
- Problem-solving mindset with the ability to translate business requirements into analytical solutions
Preferred Qualifications
While not mandatory, the following qualifications are considered an advantage:
- Experience in auto lending, consumer finance, credit risk, or marketing analytics
- Familiarity with cloud-based analytics platforms and tools such as AWS, Azure, Databricks, or Snowflake
- Knowledge of advanced machine learning techniques, including ensemble methods and deep learning
- Exposure to Generative AI concepts such as large language models, prompt engineering, or retrieval-augmented generation
- Internship or project experience involving real-world datasets and business use cases
Candidates with strong academic projects, internships, or applied analytics experience are encouraged to apply even if they are fresh graduates.
Why This Role Is a Strong Career Opportunity
The Data Scientist Associate role at JPMorgan Chase offers more than just a job title. It provides a strong foundation for long-term growth in data science and analytics.
Key benefits of this role include:
- Exposure to enterprise-scale data and real business problems
- Opportunity to work in a globally recognized financial institution
- Strong learning environment with mentorship from experienced data scientists
- Hands-on experience with modern analytics tools and platforms
- High resume value and career credibility
For freshers and early-career professionals, this role can significantly accelerate professional growth by bridging the gap between academic knowledge and real-world application.
Work Environment and Team Collaboration
JPMorgan Chase promotes a collaborative and inclusive work environment where data scientists work closely with business and technology teams. The organization values innovation, continuous learning, and responsible use of data.
As part of the data science team, you will:
- Participate in collaborative problem-solving sessions
- Work with diverse teams across business functions
- Receive feedback and guidance to improve technical and professional skills
- Contribute to projects that have measurable business impact
The work environment encourages ownership, accountability, and continuous improvement.
Career Growth and Future Opportunities
Starting as a Data Scientist Associate opens doors to multiple career paths within JPMorgan Chase. With consistent performance and skill development, professionals can progress into roles such as:
- Senior Data Scientist
- Analytics Lead
- Machine Learning Engineer
- Data Science Manager
- Specialized roles in risk analytics, marketing analytics, or AI research
JPMorgan Chase supports internal mobility and provides opportunities to grow across teams and domains.
About JPMorgan Chase
JPMorgan Chase is one of the world’s leading financial institutions, serving millions of customers across consumer banking, corporate banking, investment banking, and asset management. The organization is known for its strong focus on innovation, technology, and data-driven decision-making.
With operations across the globe, JPMorgan Chase offers employees exposure to international best practices, large-scale systems, and complex business challenges. The company values diversity, inclusion, and professional growth, making it an attractive employer for early-career professionals.
How to Apply
Interested candidates can apply directly through the official JPMorgan Chase careers portal using the link below.
