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Genpact

Global professional services for data-driven operations

Lead Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A bachelor's degree in Business Analytics, Computer Science, or Statistics, or a master's degree in Data Science.
  • English proficiency at C2 level.
  • Knowledge of adaptive technology, agile methodology, Amazon SageMaker, artificial intelligence, automated machine learning, CI/CD, computer vision, continuous delivery, continuous integration, continuous testing, data provisioning, data validation, the Internet of Things, and machine-learning model management.

Responsibilities

  • Lead the design, development, and deployment of artificial intelligence models and algorithms.
  • Collaborate with cross-functional teams to define project goals and requirements.
  • Analyze complex datasets to identify trends and patterns using statistical and machine-learning approaches.
  • Implement and optimize artificial intelligence solutions to improve data accuracy, efficiency, and predictive capabilities.
  • Provide technical guidance and mentorship to junior data scientists.
  • Stay current with trends and advancements in artificial intelligence and data science to ensure best practices are applied.

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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