Junior AI & Data Scientist — Hybrid, Personalization

Capgemini; Atlanta (GA); Hybrid; USD 56,000 - 88,000; Full time

Benefits offered by this job

Flexible work

Healthcare including dental, vision, 4

Managed 401(k) retirement plans

Paid time off & holidays

Parental leave

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is hiring a Junior Data Scientist to build and deploy AI-driven solutions that support customer engagement, personalization, recommendation, decision optimization, and customer insights. This hybrid role in the U.S.

focuses on end-to-end work across predictive modeling, recommender systems, optimization, and GenAI, with an emphasis on responsible AI practices and practical deployment at scale. Develop and deploy AI solutions across use cases including customer engagement,

Qualifications

• Master’s or PhD in CS/DS/OR/Statistics/Applied Math.
• 5+ years in AI/ML, data science, or related fields.
• Experience with supervised/unsupervised ML and deep learning.
• Hands-on NLP with Transformers; GenAI and LLMs experience.
• Ability to formulate and solve optimization problems.
• Strong communication for business and technical audiences.

Responsibilities

• Develop and deploy AI solutions across use cases like engagement, personalization, recommendations, and insights.
• Collaborate with stakeholders to apply AI/ML tools to business problems.

Skills

Advanced AI/ML

NLP frameworks

GenAI / LLMs

Optimization problems

Model evaluation & deployment

Communication skills

Education

Master's or PhD in CS/DS/OR/Stats/Math

Tools

Python

SQL

MLOps

Scikit-learn

TensorFlow

PyTorch

Hugging Face

AWS SageMaker

Job description

Capgemini is hiring a Junior Data Scientist to build and deploy AI-driven solutions that support customer engagement, personalization, recommendation, decision optimization, and customer insights. This hybrid role in the U.S.

focuses on end-to-end work across predictive modeling, recommender systems, optimization, and GenAI, with an emphasis on responsible AI practices and practical deployment at scale. Develop and deploy AI solutions across use cases including customer engagement,