Senior Data Scientist

About the role

We are looking for an experienced GenAI Engineer / Data Scientist with 5-7+ years of experience in AI, machine learning, and application development. The role focuses on designing, developing, deploying, and maintaining Generative AI and Predictive AI solutions that create business value and improve operational efficiency.

Key Responsibilities

• Design and develop AI-powered applications and APIs.
• Build and deploy Generative AI (GPT, Claude, Stable Diffusion, RAG) and Predictive AI models (regression, classification, clustering).
• Develop intelligent AI agents and agentic workflows for task automation.
• Deploy, monitor, and optimize AI models in production environments.
• Design and maintain data pipelines, data lakes, and data warehouses.
• Collaborate with business and technical teams to align AI solutions with organizational goals.
• Stay updated on emerging AI technologies and contribute to reusable assets, demos, and sales initiatives.
• Communicate AI concepts and outcomes to both technical and non-technical stakeholders.

Required Skills and Experience

• Programming: Python, SQL
• APIs: REST/JSON, HTTP requests, authentication, tokens, error handling, debugging, integrations, documentation
• Cloud Platforms: Azure, AWS, GCP
• Big Data Tools: Databricks, PySpark
• AI/ML Frameworks: LangChain, TensorFlow, PyTorch, Scikit-learn
• MLOps & Deployment: Docker, Azure DevOps, AWS ECS/EKS/Fargate, CI/CD pipelines
• Databases: MySQL, MongoDB, Redis
• Knowledge of RAG architectures, AI agents, and multimodal AI systems
• Graph databases such as Neo4j or Ontotext (a plus)

Qualifications

• Bachelor's degree or higher in AI, Machine Learning, Data Science, or a related field (or equivalent experience)

Soft Skills

• Strong analytical and problem-solving abilities
• Excellent communication and stakeholder management skills
• Ability to work effectively in cross-functional teams
• Capability to explain complex AI concepts to non-technical audiences

Ideal Candidate Profile

A professional with strong expertise in Generative AI, Machine Learning, Cloud Platforms, APIs, MLOps, and Data Engineering, capable of taking AI solutions from concept to production while collaborating closely with business stakeholders to deliver measurable outcomes.

Pay

The base compensation range for this role in the posted location is $150,000 - $210,000. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws.

Benefits

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)
• 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)
• Retail 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 Capgemini’s 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. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law