Manager – Data Scientist.

Ready to shape the future of work

At Genpact, we don't just adapt to change-we drive it. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're 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 that's shaping the future, this is your moment.

Genpact (NYSE : G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Manager - Data Scientist.

In this role, The Data Scientist will apply advanced analytics, machine learning, and statistical modeling to generate actionable insights and solve complex business problems. The role involves data collection, cleaning, exploratory analysis, feature engineering, model development, and integration of AI / ML solutions into dashboards and applications. The Data Scientist collaborates with cross-functional teams to ensure models are aligned with business objectives, reproducible, and scalable.

This role supports initiatives such as demand forecasting, classification, workforce analytics. By leveraging predictive modelling, NLP, and AI-driven insights, the Data Scientist helps to make data-driven decisions, optimize operations, and enhance customer and employee experiences across its multinational business functions.

Responsibilities

• .Model Development & Statistical Analysis - Design, develop, and optimize machine learning, deep learning, and statistical models to solve complex business problems.
• .GenAI & LLM Integration - Implement and integrate AI / ML models into GenAI and Agentic AI applications using LangChain, LangGraph, OpenAI APIs, RAG pipelines, and vector databases.
• .End-to-End ML Pipelines - Build, deploy, and maintain scalable ML pipelines, from data ingestion and preprocessing to model deployment, monitoring, and lifecycle management.
• .Production Deployment & MLOps - Deploy models as APIs or services using Docker, Kubernetes, FastAPI, and cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) while implementing CI / CD for automated testing and versioning.
• .Performance Monitoring & Reliability - Monitor model performance in production, detect drift or degradation, and establish alerting mechanisms to ensure reliability, compliance, and governance.
• .Analytics Integration - Embed models into real-time dashboards and analytics applications to deliver actionable insights for business and HR stakeholders.
• .Governance & Compliance - Ensure model explainability (XAI), security, audit logging, and adherence to ethical, regulatory, and enterprise standards.
• .Knowledge Sharing - Conduct and participate in training sessions, workshops, and technical discussions to share insights, AI / ML techniques, and best practices with team members.
• .Stakeholder Communication - Translate complex model results, analytics, and AI-driven insights into clear, actionable recommendations for business and non-technical stakeholders.
• .Documentation & Enablement - Create well-structured documentation, reproducible workflows, and explanatory reports to support model adoption, operational handovers, and team learning.
• .Cross-Functional Collaboration - Works closely with senior data scientists, engineers, and product teams to implement AI / ML solutions, ensuring alignment with project requirements and business objectives.
• .Independent Contribution - Executes tasks such as data cleaning, exploratory analysis, feature engineering, and baseline model development under guidance, contributing to end-to-end AI / ML workflows
• .Stakeholder Alignment - Assists in presenting findings, visualizations, and insights to business and HR stakeholders, translating technical results into actionable recommendations.

Qualifications We Seek in You!

Minimum Qualifications / Skills

Preferred Qualifications / Skills

Why join Genpact

Come join the 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 %27starter kit,%27 paying to apply, or purchasing equipment or training.