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Bulge Bracket Investment Banks
Data Scientist Associate
at J.P. Morgan
Mid LevelNo visa sponsorshipData Science/AI/ML
Posted 20 hours ago
No clicks
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Join the Auto Data and Analytics team to develop and deploy machine learning models and analytics solutions that drive decision-making across auto lending. You will design data pipelines, perform feature engineering, and productionize models while translating complex results into actionable insights for stakeholders. The role requires collaboration with cross-functional teams to monitor business metrics and continuously improve analytics deliverables.
Location: Bengaluru, Karnataka, India
We have an exciting opportunity for you to accelerate your data science career in Auto Finance and shape the future of lending.
As a Data Scientist Associate in the Auto Data and Analytics team, you deliver advanced analytics and predictive modeling to drive data-driven decision-making across the auto lending business. You collaborate with partners to generate actionable insights that directly impact business outcomes and reach senior leadership.
Job responsibilitiesDevelop and deploy machine learning models and analytics solutions to solve business problems in auto lending Design and build data pipelines and feature engineering frameworks to ensure high data quality and scalability Translate complex data and model outputs into meaningful insights for strategic decision-making Collaborate with cross-functional teams to identify opportunities for analytics-driven improvements Own the production, optimization, and automation of key analytics deliverables and reporting Monitor and assess the impact of business metrics and initiatives, providing recommendations for improvement Stay current with emerging data science techniques, tools, and industry trends to drive innovation
Required qualifications, capabilities, and skillsFormal training or certification in data science or analytics and four years applied experience Strong proficiency in SQL and Python (or R) for extracting, manipulating, and analyzing large datasets Hands-on experience building and deploying machine learning models using libraries such as scikit-learn, XGBoost, or TensorFlow Solid understanding of statistical methods and their application to business problems Demonstrated ability to work independently and deliver results in a fast-paced environment Strong communication skills to explain technical concepts to non-technical audiences Proven track record of translating business problems into analytical solutions and actionable insights
Preferred qualifications, capabilities, and skillsIndustry experience in auto lending, consumer finance, credit risk, marketing analytics, or operations Experience with cloud-based data platforms and tools such as AWS, Azure, Databricks, or Snowflake Knowledge of advanced machine learning techniques including ensemble methods, neural networks, or NLP Exposure to Generative AI and LLMs such as GPT, RAG, or prompt engineering Drive impactful analytics and machine learning solutions in auto finance as a key member of our data science team.
Data Scientist Associate
at J.P. Morgan
Back to all Data Science / AI / ML jobs
Bulge Bracket Investment Banks
Data Scientist Associate
at J.P. Morgan
Mid LevelNo visa sponsorshipData Science/AI/ML
Posted 20 hours ago
No clicks
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Join the Auto Data and Analytics team to develop and deploy machine learning models and analytics solutions that drive decision-making across auto lending. You will design data pipelines, perform feature engineering, and productionize models while translating complex results into actionable insights for stakeholders. The role requires collaboration with cross-functional teams to monitor business metrics and continuously improve analytics deliverables.
Location: Bengaluru, Karnataka, India
We have an exciting opportunity for you to accelerate your data science career in Auto Finance and shape the future of lending.
As a Data Scientist Associate in the Auto Data and Analytics team, you deliver advanced analytics and predictive modeling to drive data-driven decision-making across the auto lending business. You collaborate with partners to generate actionable insights that directly impact business outcomes and reach senior leadership.
Job responsibilitiesDevelop and deploy machine learning models and analytics solutions to solve business problems in auto lending Design and build data pipelines and feature engineering frameworks to ensure high data quality and scalability Translate complex data and model outputs into meaningful insights for strategic decision-making Collaborate with cross-functional teams to identify opportunities for analytics-driven improvements Own the production, optimization, and automation of key analytics deliverables and reporting Monitor and assess the impact of business metrics and initiatives, providing recommendations for improvement Stay current with emerging data science techniques, tools, and industry trends to drive innovation 
Required qualifications, capabilities, and skillsFormal training or certification in data science or analytics and four years applied experience Strong proficiency in SQL and Python (or R) for extracting, manipulating, and analyzing large datasets Hands-on experience building and deploying machine learning models using libraries such as scikit-learn, XGBoost, or TensorFlow Solid understanding of statistical methods and their application to business problems Demonstrated ability to work independently and deliver results in a fast-paced environment Strong communication skills to explain technical concepts to non-technical audiences Proven track record of translating business problems into analytical solutions and actionable insights
Preferred qualifications, capabilities, and skillsIndustry experience in auto lending, consumer finance, credit risk, marketing analytics, or operations Experience with cloud-based data platforms and tools such as AWS, Azure, Databricks, or Snowflake Knowledge of advanced machine learning techniques including ensemble methods, neural networks, or NLP Exposure to Generative AI and LLMs such as GPT, RAG, or prompt engineering Drive impactful analytics and machine learning solutions in auto finance as a key member of our data science team.
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