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
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)
• Experience mentoring or leading junior engineers
• Cloud platform experience (Azure or GCP)
Qualifications
Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
Certifications
Data Science Using R - SimpliLearnSimpliLearn
Required Skills
Adaptive Technology, Adaptive Technology, Agile Methodology, Amazon SageMaker, Anticipatory Capability, Artificial Intelligence (AI), Asset Management, Automated Machine Learning (AutoML), Change Management, CI/CD, Client Relations, Collaboration Tools, Computer Vision, Context Awareness, Continuous Delivery, Continuous Integrations, Continuous Testing, Data Provisioning, Data Validation, Design Thinking, Embedded Systems, Executive Presence, Inclusion, Internet of Things (IoT), Machine Learning Model Management {+ 10 more}
Language
English
Language Proficiency -
Proficient - C2
Additional Job Location -
Job Type
Regular
Master Skill List -
Advanced Analytics / AI / ML
Remote Type -
Office
Work Shift -
Flex Time (India)
Why join Genpact?
• Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
• Make an impact – Help global enterprises solve business challenges that matter
• Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
• Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.