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 .

Migration & Development Migrate and rebuild the highest-complexity automation use cases from Automation Anywhere to Python on the Convergence platform. Use AI coding assistants to accelerate development, then critically review, test, and harden generated code so it behaves identically to the original. Build new automations and shared libraries that raise the productivity of the whole squad. Decompose legacy bots into clear specifications and reusable patterns that others can follow. Quality & Code Review Review code from T1 engineers and enforce CARS coding, testing, and audit standards before changes are merged. Design and implement automated test coverage that proves equivalence between migrated and legacy automations, including edge cases. Produce and maintain the test evidence required to meet ITGC audit standards. Catch subtly wrong AI-generated output that a junior engineer may miss, and coach the team on how to spot it and improve automated standards to prevent recurrence. Support & Operations Resolve complex production issues escalations and keep critical automations running. Improve monitoring, logging, and resilience of automations on the Convergence platform. Collaboration & Mentoring Mentor engineers and pair with them on complex or audit-sensitive work. Contribute to squad ceremonies, code reviews, and continuous improvement of the CARS development framework. Document automations, patterns, and decisions to support handoff, scalability, and audit. Education : Bachelor’s degree in Computer Science or a related field, or equivalent experience Required: •        4+ years of professional software engineering with strong, production-grade Python •        Working knowledge of object-oriented programming •        Proven track record migrating, refactoring, or rebuilding complex codebases •        Strong testing discipline and the ability to prove that code behaves correctly •        Skill at reading, reviewing, and repairing code written by others, including AI-generated code Hands-on experience running software in production, including monitoring, incident response, and operational support Familiarity and comfort with SQL •        Solid experience with version control (Git) and CI/CD •        Strong problem-solving skills and sound engineering judgment •        Fluent English (written and verbal) – required for global collaboration   Preferred: •        Experience migrating RPA automations (Automation Anywhere, UiPath, or Blue Prism) to code •        Hands-on use of AI coding assistants (Cursor, GitHub Copilot, Gemini, Claude)