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Data Scientist

ExperiencedNo visa sponsorship
Capgemini logo

at Capgemini

Consultancies

Posted 12 days ago

No clicks

**Data Scientist** at Capgemini designs, develops, and deploys advanced AI and machine learning solutions, enhancing business performance and accelerating digital transformation. Working cross-functionally, you'll manage defined workstreams, collaborate with senior stakeholders, and translate data into actionable insights. **Responsibilities:** - Solve complex pricing and revenue challenges using AI, machine learning, and optimization. - Collaborate with diverse teams to deliver end-to-end solutions using leading-edge technologies like Azure, Databricks, and MLflow. - Continuously expand expertise and innovate, transforming data into sustainable value for clients. **Requirements:** - 3+ years of hands-on data science experience, including model development, deployment, and monitoring. - Strong programming and data engineering skills in Python, SQL, Spark/Delta, Azure ML, and Databricks. - Expertise in predictive modeling, forecasting, and pricing optimization. - Experience with MLOps, model monitoring, and deployment of API or batch-scoring solutions. - Fluent English, ability to align stakeholders and communicate across functions.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Mexico

Full Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

As a Data Scientist at Capgemini, you will contribute to the design, development, and deployment of advanced AI, machine learning, and optimization solutions that help clients enhance business performance and accelerate digital transformation. Working within cross-functional teams, you will combine strong technical expertise with business acumen to solve complex analytical challenges, translate data into actionable insights, and deliver scalable, production-ready solutions.

At this level, you are expected to independently manage defined workstreams, collaborate with senior stakeholders, and play an active role in delivering high-quality analytics products while continuously expanding your technical and consulting capabilities.

  • Drive real business impact by applying AI, machine learning, and optimization solutions to solve complex pricing and revenue challenges.
  • Collaborate with diverse, high-performing teams across data science, engineering, and business functions to deliver innovative, end-to-end solutions.
  • Work with leading-edge technologies including Azure, Databricks, MLOps, and advanced analytics platforms in a cloud-first environment.
  • Own and grow your expertise through continuous learning, hands-on delivery, and opportunities to shape scalable, production-ready AI solutions.
  • Make your mark through innovation by transforming data into actionable insights that help clients unlock sustainable value and stay ahead of change.

Your Profile

  • 3+ years of hands-on Data Science experience delivering production-grade ML solutions across model development, deployment, monitoring, and continuous improvement.
  • Strong programming and data engineering foundation in Python, SQL, Spark/Delta, and modern cloud-based data science platforms such as Azure ML and Databricks.
  • Strong understanding of experimental design, statistical testing, and causal inferencebasics.
  • Expertise in predictive modeling and forecasting including pricing optimization, demand forecasting, elasticity modeling, and revenue-focused analytics.
  • Ability to translate technical concepts into actionable business insights; skilled instakeholder alignment and cross-functional communication.
  • Experience with MLOps and scalable AI delivery, including MLflow, model monitoring, feature management, CI/CD practices, and deployment of API or batch-scoring solutions.
  • Fluent English level, capabel t have fluent conversations

What youll love

  • Empowered Careers with Purpose Work on meaningful projects that use technology to solve real-world challenges.
  • Be part of a company that values sustainability, inclusion, and digital equity.
  • Contribute to building a better future for people, planet, and society.

Need to know

This role can be working from any state of Mexico

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.

At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.

Data Scientist

Compensation

Not specified

City: Not specified

Country: Mexico

Capgemini logo
Consultancies

12 days ago

No clicks

at Capgemini

ExperiencedNo visa sponsorship

**Data Scientist** at Capgemini designs, develops, and deploys advanced AI and machine learning solutions, enhancing business performance and accelerating digital transformation. Working cross-functionally, you'll manage defined workstreams, collaborate with senior stakeholders, and translate data into actionable insights. **Responsibilities:** - Solve complex pricing and revenue challenges using AI, machine learning, and optimization. - Collaborate with diverse teams to deliver end-to-end solutions using leading-edge technologies like Azure, Databricks, and MLflow. - Continuously expand expertise and innovate, transforming data into sustainable value for clients. **Requirements:** - 3+ years of hands-on data science experience, including model development, deployment, and monitoring. - Strong programming and data engineering skills in Python, SQL, Spark/Delta, Azure ML, and Databricks. - Expertise in predictive modeling, forecasting, and pricing optimization. - Experience with MLOps, model monitoring, and deployment of API or batch-scoring solutions. - Fluent English, ability to align stakeholders and communicate across functions.

Full Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

As a Data Scientist at Capgemini, you will contribute to the design, development, and deployment of advanced AI, machine learning, and optimization solutions that help clients enhance business performance and accelerate digital transformation. Working within cross-functional teams, you will combine strong technical expertise with business acumen to solve complex analytical challenges, translate data into actionable insights, and deliver scalable, production-ready solutions.

At this level, you are expected to independently manage defined workstreams, collaborate with senior stakeholders, and play an active role in delivering high-quality analytics products while continuously expanding your technical and consulting capabilities.

  • Drive real business impact by applying AI, machine learning, and optimization solutions to solve complex pricing and revenue challenges.
  • Collaborate with diverse, high-performing teams across data science, engineering, and business functions to deliver innovative, end-to-end solutions.
  • Work with leading-edge technologies including Azure, Databricks, MLOps, and advanced analytics platforms in a cloud-first environment.
  • Own and grow your expertise through continuous learning, hands-on delivery, and opportunities to shape scalable, production-ready AI solutions.
  • Make your mark through innovation by transforming data into actionable insights that help clients unlock sustainable value and stay ahead of change.

Your Profile

  • 3+ years of hands-on Data Science experience delivering production-grade ML solutions across model development, deployment, monitoring, and continuous improvement.
  • Strong programming and data engineering foundation in Python, SQL, Spark/Delta, and modern cloud-based data science platforms such as Azure ML and Databricks.
  • Strong understanding of experimental design, statistical testing, and causal inferencebasics.
  • Expertise in predictive modeling and forecasting including pricing optimization, demand forecasting, elasticity modeling, and revenue-focused analytics.
  • Ability to translate technical concepts into actionable business insights; skilled instakeholder alignment and cross-functional communication.
  • Experience with MLOps and scalable AI delivery, including MLflow, model monitoring, feature management, CI/CD practices, and deployment of API or batch-scoring solutions.
  • Fluent English level, capabel t have fluent conversations

What youll love

  • Empowered Careers with Purpose Work on meaningful projects that use technology to solve real-world challenges.
  • Be part of a company that values sustainability, inclusion, and digital equity.
  • Contribute to building a better future for people, planet, and society.

Need to know

This role can be working from any state of Mexico

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.

At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.