Principal Data Scientist 3

Principal 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 Title: Data Science Lead Role Summary Experienced Data Science Lead with 10+ years of experience in Data Science and 2+ years in AI/Generative AI, specializing in building and delivering scalable AI/ML solutions. Strong expertise in machine learning, advanced RAG techniques, and LLM-based systems, combined with proven ability to own end-to-end delivery, drive AI strategy, and align solutions with business objectives. Adept at leading cross-functional teams, managing stakeholders, and ensuring high-quality, production-ready outcomes.

Data Science & AI Development Perform Exploratory Data Analysis (EDA) to uncover insights, patterns, and data quality issues. Lead data understanding across structured and unstructured datasets. Apply strong statistical and mathematical foundations to solve complex business problems. Design, build, and optimize machine learning models for predictive and prescriptive analytics. Lead implementation of Advanced RAG (Retrieval-Augmented Generation) pipelines, optimizing performance, accuracy, and cost. Architect and orchestrate LLM-based solutions , including prompt design, chaining, and tool integration. Implement robust prompt engineering strategies across multiple use cases. Work with LLM ecosystems and API architectures , integrating third-party and open-source models. Ensure solutions are production-ready , scalable, and continuously improved based on performance and feedback. Technical Expertise Demonstrate strong proficiency in Python and relevant data science libraries. Good knowledge on Databricks for end-to-end AI/ML solution development, including data processing, modeling, and deployment. Apply knowledge of LLM orchestration frameworks and scalable AI system design. Design and collaborate on API-based architectures to integrate AI/ML solutions into enterprise applications. Work closely with application and engineering teams to ensure seamless system integration .       Leadership, Strategy & Delivery Ownership Own and drive end-to-end delivery of data science and AI solutions, from problem definition to production deployment. Translate business requirements into scalable and impactful AI solutions aligned with organizational goals. Contribute to and help shape the AI strategy and roadmap . Provide technical leadership and guidance to data science teams, ensuring best practices and high-quality deliverables. Act as the primary point of contact for stakeholders , ensuring clear communication, alignment, and expectation of management. Lead cross-functional collaboration across business, engineering, and data teams. Define, plan, and manage delivery timelines,