Principal Data Scientist 3

Principal 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 Job Title: Data Science Lead Role Summary Experienced Data Science Lead with 10+ years of experience in Data Science and 2+ years in AI/Generative AI, specializing in building and delivering scalable AI/ML solutions. Strong expertise in machine learning, advanced RAG techniques, and LLM-based systems, combined with proven ability to own end-to-end delivery, drive AI strategy, and align solutions with business objectives. Adept at leading cross-functional teams, managing stakeholders, and ensuring high-quality, production-ready outcomes. Key Responsibilities Data Science & AI Development Perform Exploratory Data Analysis (EDA) to uncover insights, patterns, and data quality issues. Lead data understanding across structured and unstructured datasets. Apply strong statistical and mathematical foundations to solve complex business problems. Design, build, and optimize machine learning models for predictive and prescriptive analytics. Lead implementation of Advanced RAG (Retrieval-Augmented Generation) pipelines, optimizing performance, accuracy, and cost. Architect and orchestrate LLM-based solutions , including prompt design, chaining, and tool integration. Implement robust prompt engineering strategies across multiple use cases. Work with LLM ecosystems and API architectures , integrating third-party and open-source models. Ensure solutions are production-ready , scalable, and continuously improved based on performance and feedback. Technical Expertise Demonstrate strong proficiency in Python and relevant data science libraries. Good knowledge on Databricks for end-to-end AI/ML solution development, including data processing, modeling, and deployment. Apply knowledge of LLM orchestration frameworks and scalable AI system design. Design and collaborate on API-based architectures to integrate AI/ML solutions into enterprise applications. Work closely with application and engineering teams to ensure seamless system integration . Leadership, Strategy & Delivery Ownership Own and drive end-to-end delivery of data science and AI solutions, from problem definition to production deployment. Translate business requirements into scalable and impactful AI solutions aligned with organizational goals. Contribute to and help shape the AI strategy and roadmap . Provide technical leadership and guidance to data science teams, ensuring best practices and high-quality deliverables. Act as the primary point of contact for stakeholders , ensuring clear communication, alignment, and expectation of management. Lead cross-functional collaboration across business, engineering, and data teams. Define, plan, and manage delivery timelines, milestones, and resource allocation . Ensure on-time and within-scope of delivery of all projects with strong accountability. Drive continuous improvement and innovation , leveraging research, and emerging AI techniques. Plan, track, and manage work items using ADO (Azure DevOps) or similar tools. Lead agile execution , including sprint planning, backlog management, and progress tracking. Required Skills & Qualifications Exploratory Data Analysis & Data Understanding Statistical modeling and strong mathematical foundations Machine Learning algorithms and lifecycle management Advanced RAG techniques and optimization Prompt Engineering and LLM orchestration Strong Python programming skills Experience with AWS services Hands-on experience with Databricks platform Experience with LLM ecosystems (models, embeddings, vector databases, etc.) Experience with API architecture and enterprise integration Strong stakeholder management and delivery ownership experience Core skills Required Generative AI fundamentals : understanding of LLMs, prompt engineering, embeddings, tokenization, context windows RAG architecture : designing and implementing retrieval-augmented generation pipelines Vector databases : experience with similarity search, chunking, indexing, and retrieval optimization LLM integration : using APIs and frameworks to connect models into applications Prompt design and optimization : crafting prompts for accuracy, grounding, and structured outputs Evaluation and testing : measuring answer quality, relevance, hallucination rate, and retrieval performance Data preprocessing : document cleaning, chunking strategies, metadata enrichment Model selection and deployment : choosing suitable foundation models and deploying them securely Security and governance : handling sensitive data, access control, compliance, and responsible AI practices Monitoring and tuning : logging, feedback loops, performance monitoring, and continuous improvement Tech Stack should have: AWS (Sagemaker, Textract , CloudWatch) OpenAI / Azure OpenAI / Anthropic LangChain / LlamaIndex Pinecone / FAISS / Weaviate / Milvus Python, SQL, REST APIs Azure / AWS / GCP Docker, Kubernetes, CI/CD Qualifications Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science Certifications Data Scientist - Naresh i TechnologiesNaresh i Technologies, Introduction to R Programming for Data Science - IBMIBM 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 - Hybrid 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.