Lead Data Scientist 4D

Lead Data Scientist Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description The Artificial Intelligence Lead Data Scientist is responsible for leading the development and implementation of AI solutions within the organization. This role involves using advanced data analytics and machine learning techniques to drive innovation and business intelligence.\n Roles and Responsibilities: 1. Lead the design, development, and deployment of AI models and algorithms; 2. Collaborate with cross-functional teams to define project goals and requirements; 3. Analyze complex data sets to identify trends and patterns using statistical and machine learning approaches; 4. Implement and optimize AI solutions to improve data accuracy, efficiency, and predictive capabilities; 5. Provide technical guidance and mentorship to junior data scientists; 6. Stay current with the latest trends and advancements in AI and data science to ensure best practices are applied. Qualifications Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science Certifications Data Science Using R - SimpliLearnSimpliLearn Required Skills Agile Methodology, Artificial Intelligence (AI), Automated Machine Learning (AutoML), CI/CD, Client Relations, Collaboration Tools, Computer Vision, Continuous Delivery, Continuous Integrations, Continuous Testing, Data Provisioning, Data Validation, Design Thinking, Executive Presence, Inclusion, Machine Learning Model Management, Model Validation, Modernizing Operations, People Leadership, Personal Effectiveness, Personalization, Risk Management, Statistical Models, Storytelling, System Performance Monitoring Language English Language Proficiency - Advanced - C1 Additional Job Location -