About The Position

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

Requirements

  • 3+ years of experience in data science, supported by a Master’s or PhD in a relevant field.
  • Strong expertise in machine learning, statistical analysis, data visualization, and big‑data frameworks such as Spark or Hadoop.
  • Proficient in programming languages including Python, R, and Java, with strong analytical and problem‑solving skills.
  • Proven ability to analyze complex datasets, identify trends and insights, and ensure data security and privacy.
  • Excellent communication and collaboration skills, with experience working in cross‑functional teams.

Nice To Haves

  • Agile experience is a plus.

Responsibilities

  • Develop and deploy data science solutions, including machine learning models, statistical analysis, and data visualizations.
  • Analyze large and complex datasets to uncover trends, insights, and business opportunities.
  • Collaborate with cross‑functional teams to understand requirements and translate them into data‑driven solutions.
  • Ensure high data quality through validation, testing, monitoring, and governance best practices.
  • Present insights, recommendations, and outcomes clearly to stakeholders while staying current with emerging data science technologies.

Benefits

  • Clear career progression paths from engineering roles to architecture and consulting.
  • Be part of mission-critical projects that ensure security, compliance, and operational efficiency for Fortune 500 clients.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service