Capgemini

Data Scientist

Capgemini$70K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field.
  • 3-5+ years of experience in AI, Machine Learning, Application Development, or Data Science.
  • Experience in deploying and managing production AI systems.
  • Proficiency in application integration, data engineering, and MLOps.
  • Deep understanding of Generative AI and Predictive AI frameworks.

Responsibilities

  • Develop and implement Generative AI solutions (GPT, Claude, Stable Diffusion, etc.).
  • Create predictive AI models for regression, classification, and clustering.
  • Design NLP and Computer Vision applications.
  • Build AI-powered agents and workflows for automation.
  • Implement Retrieval-Augmented Generation (RAG) solutions and multimodal AI applications.
  • Collaborate with business and technical teams for effective integration.
  • Maintain production-ready AI systems to ensure optimal performance.

Benefits

  • Paid time off (12-25 days depending on grade) including vacation, holidays, personal days, and sick leave.
  • Comprehensive medical, dental, and vision coverage.
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
  • Life and disability insurance.
  • Employee assistance programs.
  • Additional local benefits based on eligibility.
Full Job Description
Your Role

The GenAI Engineer / Data Scientist role focuses on designing, developing, deploying, and maintaining Generative AI and Predictive AI solutions that deliver business value. The position combines expertise in AI/ML, application integration, data engineering, cloud platforms, and MLOps while working closely with business and technical teams.

Key Responsibilities

AI & Machine Learning Development
Develop and implement:
Generative AI solutions (GPT, Claude, Stable Diffusion, etc.)
Predictive AI models (regression, classification, clustering)
NLP and Computer Vision applications
Build AI-powered agents and agentic workflows for process automation.
Implement RAG (Retrieval-Augmented Generation) solutions and multimodal AI applications.
Application Architecture & API Integration

Required Skill and Expereince

Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field.
3-5+ years of experience in AI, Machine Learning, Application Development, or Data Science.
Experience deploying and managing production AI systems.

Ideal Candidate

A hands-on GenAI Engineer/Data Scientist with expertise in Generative AI, Machine Learning, Cloud Platforms, Data Engineering, MLOps, APIs, and AI Agents, capable of building, deploying, and scaling enterprise AI solutions from development through production.

The base compensation range for this role in the posted location is $70,000- $120,000

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 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.

About Capgemini

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The company is headquartered in Paris, France and operates in over 50 countries. Capgemini provides a range of services including strategy and transformation, application services, technology services, and engineering services. The company serves clients in a variety of industries including automotive, consumer products, financial services, healthcare, and retail.
Learn more about Capgemini
Industry
Founded
1967
NASDAQ

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