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Data Scientist

at Capgemini

Back to all Data Science / AI / ML jobs
Capgemini logo
Consultancies

Data Scientist

at Capgemini

JuniorNo visa sponsorshipData Science/AI/ML

Posted 5 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Data Scientist role focusing on AI/ML and applied data science, building scalable software solutions, and leveraging LLMs, agents, and MLOps in a cloud environment. The candidate will work with Python (Pandas, NumPy, FastAPI), Git, and modern data/AI tooling, with exposure to Azure or other clouds. Emphasis on NLU/embeddings, agent frameworks, and autonomous workflows, with collaboration across teams.

Job Description

Required Skills

  • Experience in AI/ML, Applied Data Science, or related fields.
  • Advanced proficiency in Python (Pandas, NumPy, FastAPI, Async frameworks preferred).
  • Strong experience with Git, GitHub workflows, and collaborative development.
  • Hands-on with LLMs (GPT, Llama, Mistral, Claude, etc.) RAG pipelines, and embeddings.
  • Proficient in LangChain, LlamaIndex, CrewAI, or similar agent frameworks.
  • Experience building AI Agents and Multi-Agent Systems.
  • Strong understanding of software scalability, distributed systems, and enterprise patterns.
  • Practical knowledge of Azure cloud services or other major cloud providers.
  • Familiar with Docker, APIs, microservices, and REST/GraphQL integrations.
  • Exposure to MLOps, CI/CD, monitoring tools, and production workflows.

Desired skills

  • Experience with MCP (Model Context Protocol) for agent-based tooling.
  • Databricks, Spark, Delta Lake, and enterprise data platforms.
  • Experiment tracking (MLflow), vector databases (Pinecone/FAISS), or Neo4j.
  • Experience with autonomous workflow tools like n8n, Airflow, or Temporal.

Mandatory skills

Python, Pandas/Numpy/FastAPI, LLM, cloud Services, MLOps



Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Job Description - Grade Specific

Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.

Data Scientist

at Capgemini

Back to all Data Science / AI / ML jobs
Capgemini logo
Consultancies

Data Scientist

at Capgemini

JuniorNo visa sponsorshipData Science/AI/ML

Posted 5 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Data Scientist role focusing on AI/ML and applied data science, building scalable software solutions, and leveraging LLMs, agents, and MLOps in a cloud environment. The candidate will work with Python (Pandas, NumPy, FastAPI), Git, and modern data/AI tooling, with exposure to Azure or other clouds. Emphasis on NLU/embeddings, agent frameworks, and autonomous workflows, with collaboration across teams.

Job Description

Required Skills

  • Experience in AI/ML, Applied Data Science, or related fields.
  • Advanced proficiency in Python (Pandas, NumPy, FastAPI, Async frameworks preferred).
  • Strong experience with Git, GitHub workflows, and collaborative development.
  • Hands-on with LLMs (GPT, Llama, Mistral, Claude, etc.) RAG pipelines, and embeddings.
  • Proficient in LangChain, LlamaIndex, CrewAI, or similar agent frameworks.
  • Experience building AI Agents and Multi-Agent Systems.
  • Strong understanding of software scalability, distributed systems, and enterprise patterns.
  • Practical knowledge of Azure cloud services or other major cloud providers.
  • Familiar with Docker, APIs, microservices, and REST/GraphQL integrations.
  • Exposure to MLOps, CI/CD, monitoring tools, and production workflows.

Desired skills

  • Experience with MCP (Model Context Protocol) for agent-based tooling.
  • Databricks, Spark, Delta Lake, and enterprise data platforms.
  • Experiment tracking (MLflow), vector databases (Pinecone/FAISS), or Neo4j.
  • Experience with autonomous workflow tools like n8n, Airflow, or Temporal.

Mandatory skills

Python, Pandas/Numpy/FastAPI, LLM, cloud Services, MLOps



Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Job Description - Grade Specific

Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.