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Genpact

Global professional services for data-driven operations

Senior Data Scientist 4

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listedHybrid

About the Job

Requirements

  • A bachelor's degree in Business Analytics, Computer Science, or Statistics, or a master's degree in Data Science.
  • Proficiency in English at C2 level.
  • Knowledge or experience in adaptive technology, agile methodology, Amazon SageMaker, anticipatory capability, artificial intelligence, asset management, automated machine learning, continuous integration and continuous delivery, client relations, collaboration tools, computer vision, context awareness, continuous delivery, continuous integration, continuous testing, data provisioning, data validation, design thinking, embedded systems, executive presence, inclusion, the Internet of Things, machine learning model management, and model validation.

Responsibilities

  • Lead the design, development, and implementation of artificial intelligence models and algorithms.
  • Conduct thorough data analysis to uncover valuable insights and trends.
  • Collaborate with cross-functional teams to enhance artificial intelligence capabilities across the organization.
  • Stay current with industry trends and advancements in artificial intelligence and machine learning technologies.
  • Mentor junior data scientists and provide guidance on complex data projects.

About the Company

Genpact

Global professional services for data-driven operations

Genpact is a professional services firm that helps other companies transform their operations using data, analytics, and artificial intelligence. It started inside General Electric as a back-office unit and became an independent company in 2005, growing into a global business with a focus on digital transformation and AI-powered operations. Genpact's offerings include applying data and AI to automate and optimize business processes, supported by its Cora AI platform and strategic acquisitions like XponentL Data. It shifts from traditional outsourcing to building intelligent, autonomous operations for clients. The company aims to deliver measurable business impact by turning operational processes into data-driven, automated systems that improve efficiency and decision-making.

Company size
10,001+
Company stage
IPO
Headquarters
Amherst, New York
Founded
1997

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