Bulge Bracket Investment Banks

Data Scientist Lead

at J.P. Morgan

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted a month ago

No clicks

Compensation: Not specified
City: Bengaluru
Country: India

Senior data science role within the Card Analytics team responsible for designing and delivering end-to-end AI and analytics solutions that drive commercial impact. You'll collaborate with agile teams to develop generative AI and digital analytics use cases, build and iterate AI agents, and monitor model performance. The role includes creating scalable data pipelines and dashboards using Databricks, Python, Tableau, and Alteryx, and ensuring model quality and integration across business applications.

Location: Bengaluru, Karnataka, India

We have an exciting opportunity for you to advance your data science career and shape the future of AI-driven analytics.

As a Data Scientist Lead in the Card Analytics team, you design and implement end-to-end data and AI solutions that drive commercial impact for our clients and customers. You collaborate with agile teams to deliver innovative analytics and generative AI use cases, focusing on digital analytics and customer journey.

Job responsibilities

Learn our business and how we deliver value for clients globally

Identify opportunities to grow our Cards business using technical skills and curiosity

Build and rigorously test new data and AI-driven insights

Develop scalable frameworks for seamless AI model integration across business applications

Build and test AI agents, iterating designs to enhance functionality and user experience

Create data pipelines and dashboards using Databricks, Python, Tableau, and Alteryx

Monitor AI model performance and implement updates to maintain quality and relevance

Required qualifications, capabilities, and skills

Degree in a scientific field (Computer Science, Engineering, Data Science, etc.) and nine years applied experience in AI/ML or data science

Understanding of AI models, including large language model capabilities and limitations

Experience with statistical analysis, data-driven decision-making, and pattern identification

Familiarity with AI/ML model evaluation and relevant metrics

Experience with Python and SQL

Exposure to cloud platforms such as AWS, GCP, or Azure, and Software Development Life Cycle concepts

Strong communication and collaboration skills with the ability to work effectively in teams

Preferred qualifications, capabilities, and skills

Experience in data analysis, data science, or related fields

Familiarity with AWS and Databricks for data management and analysis

Understanding of quality assurance practices and the importance of data integrity

Awareness of big data technologies such as Spark and distributed computing concepts

Drive data science and AI innovation to deliver impactful analytics for the Cards business.

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