Manager Data Science

Ready to shape the future of work
At Genpact we dont just adapt to changewe drive it. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were scaling advanced technology solutions to help global enterprises work smarter grow faster and transform at scale. From large-scale models to agentic AI our breakthrough solutions tackle companies most complex challenges.
If you thrive in a fast-moving tech-driven environment love solving real-world problems and want to be part of a team thats shaping the future this is your moment.
Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading ourdeep business knowledge operational excellence and cutting-edge solutions we help companies across industries get ahead and stay by curiosity courage and innovationour teamsimplementdata technology and AItocreate tomorrow to know us onLinkedInXYouTube andFacebook.
Inviting applications for the role of Manager or Senior Manager Data Scientist!
A Data Scientist in this team plays a critical role in transforming operational data into meaningful intelligence that drives better product decisions improves workflow efficiency and strengthens overall business outcomes. This role requires someone who can make sense of messy high-volume datasets that come from Trust & Safety workflows customer service patterns issue resolution funnels and product operations. Youll design analytical frameworks that uncover root causes identify behavioral patterns and reveal opportunities that are not immediately obvious from surface-level metrics. Your work will shape how teams understand performance risk and user experience across multiple lines of business. You will collaborate closely with product managers engineers operations teams and senior leadership to design models validate hypotheses and translate analytical findings into clear recommendations. More importantly you will help build a disciplined data-driven culture by creating insights that influence strategy guide experimentation and support long-term transformation efforts.
Responsibilities
Analyze large datasets from operations workflow tools reviewer behavior and product surfaces to identify patterns trends anomalies and root causes across different LOBs.
Build statistical models prediction frameworks or pattern-recognition solutions that support content integrity customer experience or operational optimization initiatives.
Design and run experiments A/B tests and pilots to validate hypotheses and quantify the impact of new products policies or workflow changes.
Create dashboards metric frameworks and reporting systems that provide clear visibility into performance quality volume trends and risk indicators.
Partner with product managers engineering teams and operational leaders to convert analytical insights into product or process improvements.
Conduct deep dives to understand user journeys escalation drivers quality breakdowns reviewer inconsistencies or systemic inefficiencies.
Build segmentation models that unpack user behavior fraud characteristics agent decisions or cohort-level performance trends.
Provide data-driven risk assessments and opportunity sizing that help prioritize roadmap decisions and operational investments.
Evaluate model performance identify bias patterns and recommend improvements to strengthen reliability and fairness.
Lead structured storytelling sessions with senior stakeholders to communicate insights clearly and influence decision-making.
Automate analytical workflows enhance data pipelines and ensure data integrity for recurring or large-scale analysis.
Mentor analysts on statistical thinking experimentation discipline and data interpretation best practices.
Qualifications we seek in you!
Minimum Qualifications
Post Graduation / MBA
Strong proficiency in analytical tools and languages such as Python SQL R or similar environments used for statistical modeling and data exploration.
Experience with machine learning methods including classification clustering regression time-series analysis anomaly detection and model evaluation.
Familiarity with Trust & Safety or Customer Service data patterns such as reviewer decisions case metadata escalation themes fraud signals or CX funnels.
Experience working with data visualization tools and dashboards (Tableau Looker Power BI or equivalent).
Ability to translate ambiguous analytical problems into structured approaches with clear hypotheses methods and measurable outcomes.
Knowledge of experimentation frameworks including A/B testing sampling methods significance testing and causal inference approaches.
Strong understanding of data pipelines ETL workflows and data-quality validation for large operational datasets.
Comfort working with unstructured data text datasets or annotation-level information using techniques such as NLP or vectorization.
Strong communication and storytelling skills with the ability to explain complex analytical findings to non-technical stakeholders.
Experience collaborating with product engineering and operations teams to guide design decisions using data insights.
Familiarity with cloud data environments (GCP AWS Azure) and distributed processing systems is a plus.

Preferred Qualifications/ Skills
Advanced degree in Data Science Statistics Computer Science Economics or related fields preferred.

Why join Genpact
Be a transformation leader Work at the cutting edge of AI automation and digital innovation
Make an impact Drive change for global enterprises and solve business challenges that matter
Accelerate your career Get hands-on experience mentorship and continuous learning opportunities
Work with the best Join 140000 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 tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Lets 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.