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Senior VP - Data Science & Gen AI

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Citi

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Location:
India , Pune

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth and expense reduction in partnership with the businesses. The role of C14 (people manager) having 15+ data scientists reporting to him/her is a part of AIM Financial Crimes & Fraud Prevention Analytics in Fraud Operation team based in Pune/Bangalore and reporting into the Director/Managing Director, AIM. A primary area of focus for this position will be to lead a team of data scientists responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI models on different platforms, design, develop and deploy generative AI based solutions for various Fraud prevention area, analyze data, understand fraud pattern , develop models with the objective of achieving overall business goal.

Job Responsibility:

  • Lead as SME in the area of ML/AI/Gen AI
  • Lead a team of data scientists with primary responsibility of working on various tools and technologies for successful development and implementation of ML /AI/Gen AI models on different platforms
  • Provide technical leadership, mentorship, and guidance to a team of model developers
  • Ensure 100% execution accuracy
  • Customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements
  • Provide thought leadership for all data solution that includes designing, developing, and implementing Machine Learning/AI/Gen AI solutions
  • Communicate complex analytical concepts and results to both technical and non-technical audiences
  • Establish governance frameworks for model development, deployment, and monitoring to meet MRM and Fair Lending guidelines
  • Continuously evaluate and improve model monitoring & governance processes
  • Oversee the end-to-end model development lifecycle from data collection and preprocessing to model building, validation, and deployment
  • Ensure models are developed and deployed in timely manner with high quality and no errors
  • Lead 15+ data scientists, manage their career progression, conflict management, performance management, provide coaching, mentorship, and technical guidance

Requirements:

  • Minimum 12+ years of analytics experience in core model development using ML/AI/Gen AI techniques
  • Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
  • Strong understanding of current state of the art ML/AI/Gen AI algorithms
  • Strong coding skill with experience in Bigdata environments
  • Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
  • Strong knowledge of Python, SQL, and Big Data
  • Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus
  • Model execution and governance experience in any domain will be preferable
  • Proven track record of building and deploying generative models-based solutions in production environments particularly using RAG frameworks, few shot prompts, etc.
  • At least 8 years of people management experience
  • Excellent verbal and written communication skills
  • Strong capability to influence business outcomes / decisions
  • Strong coordination and project management skills
  • Ability in strategic thinking and the ability to frame business problems
  • Excellent analytical, technical, and/or statistical skills

Additional Information:

Job Posted:
January 29, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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