Senior Data Scientist

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Responsibilities:

GenAI Adoption

• Drive the identification, evaluation and adoption of emerging Generative AI technologies and tools to develop innovative solutions and enhance existing platforms.
• Actively design, develop and implement AI/ML solutions within financial applications with a strong emphasis on practical GenAI adoption.
• This includes hands‑on coding, prototyping and deploying GenAI solutions.

Agentic AI for Business Process Automation

• Be part of end‑to‑end design, prototyping and implementation of Agentic AI solutions focused on automating critical business processes, ensuring they address business needs and scale effectively across the enterprise.
• This includes designing and implementing Retrieval Augmented Generation (RAG) systems to enhance accuracy and contextuality, especially for financial data.

Chatbot Development

• Design, develop and deploy intelligent chatbot solutions capable of interacting with users across both structured data sources (e.g., databases, APIs) and unstructured data (e.g., documents, emails, free text).
• Leverage GenAI for natural language understanding and generation in complex conversational flows.

Document Processing / OCR Integration

• Implement solutions for processing and extracting information from documents, including integrating Optical Character Recognition (OCR) technologies to handle scanned documents and images, making their content available for GenAI models.

Text‑to‑SQL Implementation

• Develop and deploy solutions leveraging Large Language Models to facilitate Text‑to‑SQL capabilities, enabling users to generate SQL queries from natural language requests, thus simplifying data access and analysis from structured databases.

Data Analysis & Feature Engineering

• Analyze large, complex datasets, identify intricate patterns and extract actionable insights.
• Leverage GenAI capabilities for data augmentation or synthetic data generation, particularly relevant for Agentic AI applications.

Data Pipeline Development

• Build and maintain robust, scalable data pipelines for data ingestion, processing and transformation.
• Specifically optimize for the unique requirements of GenAI model training and inference.

Documentation & Monitoring

• Develop and maintain comprehensive documentation for AI/ML models and systems, specifically addressing GenAI and Agentic AI implementations.
• Manage and monitor the performance, efficiency and reliability of deployed AI/ML models, including evaluating the effectiveness of GenAI components in production.

Platform Contribution

• Actively contribute to the design and development of internal GenAI and Agentic AI platforms, frameworks and shared services.

Troubleshooting & Support

• Provide expert technical support, troubleshooting and resolution for GenAI and Agentic AI solutions in production environments.

Governance, Risk, Agile Delivery:

Risk Assessment

• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm’s reputation and safeguarding Citigroup, its clients and assets by:
  
  • driving compliance with applicable laws, rules and regulations,
  • adhering to policy,
  • applying sound ethical judgment regarding personal behavior, conduct and business practices,
  • escalating, managing and reporting control issues with transparency.
• This is especially important concerning responsible AI and GenAI ethics in the context of GenAI adoption and Agentic AI.

Agile Development / Proof‑of‑Concept

• Champion rapid delivery and iterative development, prioritizing value delivery over upfront perfection.
• Lead the development of compelling proof‑of‑concept projects to validate the feasibility and potential of novel GenAI and Agentic AI solutions.

Required Skills – Technical Expertise:

• Experience: 10–15 years of relevant experience in Apps Development or systems analysis role, with a significant