Senior Data Scientist Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock 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 handson coding, prototyping and deploying GenAI solutions. \\\\Agentic AI for Business Process Automation\\\\ \\+ Be part of endtoend 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. \\\\TexttoSQL Implementation\\\\ \\+ Develop and deploy solutions leveraging Large Language Models to facilitate TexttoSQL 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 firms 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 / ProofofConcept\\\\ \\+ Champion rapid delivery and iterative development, prioritizing value delivery over upfront perfection. \\+ Lead the development of compelling proofofconcept projects to validate the feasibility and potential of novel GenAI and Agentic AI solutions. \\\\Required Skills Technical Expertise:\\\\ \\+ Experience: 1015 years of relevant experience in Apps Development or systems analysis role, with a significant portion dedicated to AI/ML. \\+ Demonstrable handson experience in designing, building and deploying realworld Generative AI solutions with a specific focus on GenAI adoption. The base compensation range for this role in the posted location is: 115,000 to 125,000 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. \\\\Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.\\\\ In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: \\+ Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave \\+ Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) \\+ Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) \\+ Life and disability insurance \\+ Employee assistance programs \\+ Other benefits as provided by local policy and eligibility \\\\Important Notice:\\\\ Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgeminis discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. \\\\Disclaimers\\\\ Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Ref. code: 436241 Posted on: Apr 1, 2026 Experience Level: Experienced Professionals Contract Type: Permanent Location: Tampa, FL, US Brand: Capgemini Professional Community: Data & AI Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

The role requires 10 to 15 years of relevant experience in an Apps Development or systems analysis role, with a significant portion dedicated to AI/ML. Demonstrable hands-on experience in designing, building, and deploying real-world Generative AI solutions with a specific focus on Generative AI adoption is essential. The position involves driving the identification, evaluation, and adoption of emerging Generative AI technologies and tools. It also requires the design, development, and implementation of AI/ML solutions within financial applications, including hands-on coding, prototyping, and deploying Generative AI solutions. The role further necessitates end-to-end design, prototyping, and implementation of Agentic AI solutions focused on automating critical business processes.