Vice President - Data Scientist, Bangalore/ Mumbai

Join the leading global financial services firm, JPMorgan Chase & Co., with operations worldwide and assets of $3.4 trillion. We're seeking professionals for our Global Finance & Business Management team in India, part of our global capability center. This role offers the opportunity to lead and coordinate budgeting and forecasting processes, preparing management reports and presentations for the Operating Committee and the Board of Directors.

As a Data Scientist within the Chief Data Office, you will be instrumental in shaping the future of the Chief Administrative Office and its operations by utilizing your exceptional machine learning skills.

Job Responsibilities

• Collaborating on a wide array of product and business problems with a diverse set of cross-functional partners across Finance, Supplier Services, Data Security intelligence program, Global Real Estate and Customer Experience.  
• Identifying data and analysis to solve the divisions biggest challenges and develop state-of-the art machine learning models to solve real-world problems
• Develop and own ML products to drive business outcomes and influence your strategic partners, in a highly collaborative environment
• Showing strong passion for machine learning and investing independent time towards learning, researching, and experimenting with new innovations in the field.

Required qualifications, capabilities and skills 

• Master’s in quantitative field (Computer Science, Mathematics, Statistics, or ML)
• Minimum 8 years industry experience in data science / applied ML model development
• Strong knowledge and experience with Traditional ML, Deep Learning,LLM, NLP, time-series predictions or recommendation systems
• Excellent python coding and algorithm skills
• Experience with data visualization techniques and software
• Looking for strategic thinker with demonstrated problem-solving skills using Machine Learning Skills.
• Experience with Data Querying (e.g., SQL, big data), A/B Testing

Preferred qualifications, capabilities and skills

• Experience driving AI adoption preferred
• Experience with Cloud based deployment (e.g., AWS, azure), Engineering background preferred
• Foundational Statistics knowledge preferred