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Data Scientist

ExperiencedNo visa sponsorship
Capgemini logo

at Capgemini

Consultancies

Posted 6 days ago

No clicks

**Data Scientist**: Drive Capgemini's enterprise-scale AI initiatives as a skilled Data & AI Engineer. Leverage Python, Databricks, LLMs, and agentic workflows to model, evaluate, and deploy AI solutions in cloud environments, preferably Azure. Bring 2+ years of relevant experience and a solid understanding of software development principles for this mid-level role. Collaborate effectively within teams to achieve project goals.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
India

Full Job Description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description

Role Summary

We are seeking a Data & AI Engineer / AI Data Scientist with strong hands-on experience in Python, Databricks, and LLM-based solutions. The role combines data engineering, LLM/agentic workflow development, and LLM evaluation & quality assurance, supporting enterprise-scale AI initiatives.

The candidate should be capable of working across the data layer, AI/LLM workflows, and evaluation frameworks, with experience deploying solutions in cloud environments (preferably Azure).

Primary (Mandatory) Skills

  • Strong Python programming experience
  • Databricks: PySpark, SQL, Delta Lake
  • Experience with LLMs, prompt engineering, and RAG concepts
  • Hands-on experience with agentic AI or workflow orchestration
  • Data modeling and data quality fundamentals
  • Experience working in enterprise-scale environments

Experience Requirements

  • Experience in Data Engineering, AI Engineering, or AI/Data Science roles
  • Strong hands-on experience with Databricks and Python
  • Exposure to LLM-based systems (development, evaluation, or testing)

Job Description - Grade Specific

Has more than two years 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.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Data Scientist

Compensation

Not specified

City: Not specified

Country: India

Capgemini logo
Consultancies

6 days ago

No clicks

at Capgemini

ExperiencedNo visa sponsorship

**Data Scientist**: Drive Capgemini's enterprise-scale AI initiatives as a skilled Data & AI Engineer. Leverage Python, Databricks, LLMs, and agentic workflows to model, evaluate, and deploy AI solutions in cloud environments, preferably Azure. Bring 2+ years of relevant experience and a solid understanding of software development principles for this mid-level role. Collaborate effectively within teams to achieve project goals.

Full Job Description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description

Role Summary

We are seeking a Data & AI Engineer / AI Data Scientist with strong hands-on experience in Python, Databricks, and LLM-based solutions. The role combines data engineering, LLM/agentic workflow development, and LLM evaluation & quality assurance, supporting enterprise-scale AI initiatives.

The candidate should be capable of working across the data layer, AI/LLM workflows, and evaluation frameworks, with experience deploying solutions in cloud environments (preferably Azure).

Primary (Mandatory) Skills

  • Strong Python programming experience
  • Databricks: PySpark, SQL, Delta Lake
  • Experience with LLMs, prompt engineering, and RAG concepts
  • Hands-on experience with agentic AI or workflow orchestration
  • Data modeling and data quality fundamentals
  • Experience working in enterprise-scale environments

Experience Requirements

  • Experience in Data Engineering, AI Engineering, or AI/Data Science roles
  • Strong hands-on experience with Databricks and Python
  • Exposure to LLM-based systems (development, evaluation, or testing)

Job Description - Grade Specific

Has more than two years 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.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.