Data Scientist, GenAI & Personalization Specialist

Capgemini; New York (NY); Hybrid; USD 56,000 - 88,000; Full time

Benefits offered by this job

Flexible work

Healthcare including dental, vision

401(k)

Job summary

Capgemini is seeking a Junior Data Scientist to join a multidisciplinary AI research and development team. You will build predictive models, personalization and recommender systems, and deploy AI-driven solutions across customer use cases.

The role requires strong Python/SQL skills, experience with ML frameworks, and the ability to communicate with business stakeholders. Capgemini offers hybrid onsite work across multiple US locations and a comprehensive benefits package.

Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, OR related discipline.
• 5 years of experience in AI/ML, data science or analytics.
• Experience with supervised/unsupervised ML, predictive modeling, recommender systems.
• Experience with NLP frameworks, GenAI and LLMs.
• Experience solving optimization problems and model deployment.

Responsibilities

• Develop and deploy AI-driven solutions across use cases such as customer engagement and personalization.
• Collaborate with business stakeholders and data teams to solve problems with AI/ML tools.
• Build predictive models, recommender systems, ranking and prescriptive optimization models.
• Evaluate and monitor models, ensure governance and scalability.

Skills

Python

SQL

MLOps

GenAI

RAG

LLM evaluation

Education

Master’s or Ph.D. in Computer Science or related

Tools

Scikit-learn

TensorFlow

PyTorch

Hugging Face

AWS Sagemaker

Job description

Capgemini is seeking a Junior Data Scientist to join a multidisciplinary AI research and development team. You will build predictive models, personalization and recommender systems, and deploy AI-driven solutions across customer use cases.

The role requires strong Python/SQL skills, experience with ML frameworks, and the ability to communicate with business stakeholders. Capgemini offers hybrid onsite work across multiple US locations and a comprehensive benefits package.