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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 listedHybrid

About the Job

Requirements

  • A Bachelor's degree in Business Analytics, Computer Science, or Statistics, or a Master's degree in Data Science.
  • Advanced proficiency in English (C1).
  • Skills in agile methodology, artificial intelligence, automated machine learning, continuous integration and continuous delivery, client relations, collaboration tools, computer vision, continuous testing, data provisioning, data validation, design thinking, executive presence, inclusion, machine-learning model management, model validation, operations modernization, people leadership, personal effectiveness, personalization, risk management, statistical models, storytelling, and system performance monitoring.

Responsibilities

  • Lead the design, development, and deployment of AI models and algorithms.
  • Collaborate with cross-functional teams to define project goals and requirements.
  • Analyze complex data sets to identify trends and patterns using statistical and machine-learning approaches.
  • Implement and optimize AI 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 AI 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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