Senior Principal Consultant - 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 Senior Manager - Sr. Data Scientist.

In this role, The Senior Data Scientist will leverage advanced machine learning, deep learning, NLP, and statistical modelling to solve complex business challenges and generate measurable value. The role encompasses building predictive and generative AI models, operationalizing them at scale, and ensuring interpretability, robustness, and alignment with strategic objectives. A key focus will be applying AI-driven workforce analytics in collaboration with HR and business stakeholders, including predictive modelling for attrition, workforce planning, and associate 360, to enhance employee experience and decision-making.

This expertise enables demand forecasting, prediction, classification, workforce analytics-driving innovation, efficiency, and stronger business outcomes across a multinational enterprise.

Responsibilities

• .ML / DL Model Development - Design, build, and optimize machine learning, deep learning, and NLP models (regression, classification, clustering) to solve business-critical problems.
• .GenAI & Agentic AI Solutions - Collaborate with product and engineering teams to embed models into GenAI applications using RAG pipelines, LangChain, LangGraph, and vector databases.
• .LLM Integration - Apply OpenAI and other LLM frameworks to drive automation, contextual intelligence, and enhanced decision-making.
• .Workforce Analytics - Partner with HR and business stakeholders to deliver predictive modelling, attrition analysis, workforce planning, and associate 360 solutions that improve employee experience.
• .Scalability & Performance - Ensure deployed models are production-ready, meeting enterprise standards for scalability, robustness, latency, and interpretability.
• .Data Insights & Visualization - Conduct statistical analysis, hypothesis testing, and integrate AI-driven insights into dashboards and visualization tools for decision support.
• .Innovation & Continuous Learning - Stay ahead of advancements in AI, GenAI, and Agentic AI technologies, continuously experimenting with new methods to drive business value.
• .Knowledge Sharing - Conduct internal sessions to share learnings from projects, new AI / ML techniques, and best practices with peers and cross-functional teams.
• .Stakeholder Communication - Translate complex statistical and AI / ML concepts into clear, actionable insights for business and non-technical stakeholders.
• .Documentation & Enablement - Create well-structured documentation, guidelines, and walkthroughs to support model adoption, reproducibility, and smooth handovers across teams.
• .Cross-Functional Collaboration - Works closely with product managers, engineers, and business stakeholders to translate requirements into AI / ML solutions and ensure seamless integration into workflows.
• .Independent Contribution - Operates as a hands-on specialist, owning end-to-end project execution from data preparation and modelling to deployment and monitoring, without heavy reliance on team supervision.
• .Stakeholder Alignment - Engages regularly with business and HR stakeholders to present findings, validate models, and incorporate feedback, ensuring solutions deliver measurable business impact.

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.