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Analyst, Data Science & AI
What are your contributions to the team? Translate business challenges into measurable forecasting, optimization, NLP, retrieval, classification, risk, or recommendation problems. Explore, profile, and validate…
Senior Data Scientist
Senior Data Scientist at Capgemini Invent in Noida: designs, builds, and deploys ML/NLP models and MLOps pipelines for client projects, including Generative AI and LLM-based applications. Core stack: Python, TensorFlow/PyTorch, Spark, cloud platforms (Azure/AWS/GCP), and LangChain/RAG.
GenAI Tech Lead
Tech lead at Capgemini Engineering in Bangalore designing and building AI/ML and generative AI solutions on Azure — developing Python-based apps, implementing GenAI use cases with Azure OpenAI, RAG, LangChain and vector databases, and running POCs with stakeholders.
Data Engineer
Capgemini is hiring a Data Engineer in Mississauga (onsite hybrid) to monitor and deliver full-cycle application and data development for business clients, centered on the Hadoop ecosystem (HDFS, YARN, MapReduce, Spark/PySpark) plus NoSQL stores like HBase, Cassandra and MongoDB. Requires 5-8 years of relevant experience and expert Python/PySpark skills.
Python Java Full Stack Developer
Onsite full-stack developer role at Capgemini building Java 17/Spring Boot microservices and Python 3 applications (NumPy, Pandas), with CI/CD (Git, Jenkins, uDeploy) and Kafka-based event-driven architecture, ideally with financial data experience. Positions are based in Merrimack (NH), Durham (NC), or Westlake (TX).
Intern Data Engineer
An internship in Warsaw (hybrid) where the intern helps design, build, and maintain data solutions for Capgemini's clients, working mainly with Python, SQL, MS SQL Server, Snowflake, and Power BI, plus exposure to ETL tools and GitLab CI/CD.
Auditor Data Scientist Junior
Junior data scientist inside Intesa Sanpaolo's internal audit AI team, building and testing data-analytics, ML and generative-AI prototypes (including AI agents and Microsoft Copilot solutions) to automate audit use cases, from data prep through deployment and monitoring. Core stack: Python, SQL, LLMs, Copilot Studio, Databricks.
