JP Morgan Chase Data Scientist Associate Full Time

JP Morgan Chase Data Scientist Associate . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in Gurgaon / India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Apply All Active Superset Hiring For Freshers 

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About Company :

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 responsibilities

• Develop 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 skills

• Formal 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 skills

• Industry 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