Senior Manager Data Science

Job Description Ready to build the future with AI At Genpact, we don't just keep up with technology-we set the pace. 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, 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 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 - Data Science In this role, you will lead the development and deployment of advanced analytical models and machine learning solutions to solve complex business problems. You will collaborate with cross-functional teams to drive data-driven strategies and ensure best practices in ethical AI and model governance. Responsibilities Roles & Responsibilities - Data Scientist (AI & GenAI) Core AI & ML .Develop, train, and optimize machine learning models (supervised, unsupervised, reinforcement learning) for predictive and prescriptive insights. .Build scalable data pipelines and feature engineering workflows to support AI models. .Apply advanced statistical techniques for experimentation (A/B tests, causal inference, regression analysis). GenAI (Generative AI) .Design, fine-tune, and deploy Large Language Models (LLMs) for use cases like summarization, text generation, retrieval-augmented generation (RAG), and multi-agent workflows. .Implement prompt engineering, chain-of-thought design, and evaluation frameworks to improve GenAI outputs. .Build domain-specific knowledge bases and vector databases for contextualized AI responses. .Integrate GenAI with enterprise systems (e.g., SAP, CRM, ServiceNow) to enable intelligent automation. Data & Engineering Collaboration .Partner with Data Engineers to ensure clean, reliable, and well-structured datasets for model consumption. .Collaborate with ML Engineers to productionize models with CI/CD, MLOps, and monitoring. .Work with UX/Product teams to translate model outputs into actionable insights and intuitive dashboards. Business & Domain .Understand business problems and map them into AI/GenAI solutions with measurable ROI. .Translate technical insights into business-friendly narratives for leadership and clients. .Identify emerging AI/GenAI trends and evaluate their relevance to business strategy. Governance & Ethics .Ensure models comply with responsible AI principles: fairness, transparency, explainability, and bias mitigation. .Establish monitoring frameworks for accuracy drift, hallucinations, and ethical risks in GenAI usage. Qualifications we seek in you Minimum Qualifications . Bachelor's degree in Engineering or Computer Science . Graduate degree in Data Science is preferred . Hands-on experience with MLOps tools and platforms such as Azure ML, SageMaker Preferred Qualifications/ Skills . Proven experience as a Data Scientist or Data Analyst . Strong background in data mining and statistical analysis . Proficiency in R, SQL, and Python familiarity with Scala, Java, or C++ is a plus . Experience with BI tools (e.g., Tableau) and big data frameworks (e.g., Hadoop) . Strong mathematical foundation in statistics and algebra . Excellent problem-solving, communication, and presentation skills . Demonstrated leadership capabilities and business acumen Why join Genpact .Lead AI-first transformation - Build and scale AI solutions that redefine industries .Make an impact - Drive change for global enterprises and solve business challenges that matter .Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills .Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace .Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build .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 %27starter kit,%27 paying to apply, or purchasing equipment or training.