Manager, Data Scientist

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 anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep 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 teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook.

Inviting applications for the role of Manager, Data Scientist!

The role requires advanced analytical acumen and solution orientation. The role possesses critical thinking skills and the ability to understand and manipulate data to provide insightful observations, identify trends and communicate these effectively.
The role is expected to act independently to make timely and informed decisions aligned to the role’s remit or to escalate as appropriate to management or others in IT as needed. The role’s insight and proposed actions should strive to be strategic, look beyond ‘stop gap’ measures and seek to drive improvements to reporting and analysis practices.
Responsibilities
•Professional experience with different regression and classification methods in implementation and deployment of project on AWS GCP and Azure cloud platform. Follow the standard practice and guidelines while using Python, SQL.
•Experience with Langchain framework for GenAI.
•Experience with Dataiku on model building and deployment.
•Must have intermediate understanding on Word and Excel. The candidate must have strong consultative / listening skills, ability to analyze data, and translate business requirements into actionable capabilities.
•Able to design Machine learning, Deep learning and Generative AI architecture and its successful execution in the project.
•Design, develop and implement generative AI models such as GANs, Variational Auto Encoders or transformers for specific application.
•Must Demonstrate understanding of evaluation metrics specific to GenAI task such as inception score, frechet inception distance, perpetual path length.
•Collaborating with cross-functional teams, including data scientist, engineers, domain experts to integrate Generative AI into product or services.
•Develop and fine-tuning Generative AI models for various applications.
•Using Generative AI to work on tasks like text generation, sentiment analysis, chatbots and language translation using RAG and agent-based models.
•Experience in using tokenization and embeddings and must have used LLaMA, Huggingface, Mistral, AWS BedRock for deploying the models.
•Analyze data and Generating insights using generative AI techniques for predictive modelling and data generation.
•Ability to successfully create quick project based on GenAI by asking questions using different scalable database for generating charts or statement using different large language models.
•Evaluating the performance of generative AI models and implementing improvements based on feedback.
•Ensuring ethical and responsible use of AI by addressing bias, privacy concerns and fairness in AI models
•Proficiency in programming language like Python, SQL, frameworks such as Langchain for AI model development.
•Experience on Rest API, Flask API, Fast API.
Qualifications we seek in you!
Minimum Qualifications
•Any Graduate
•BE/B- Tech, BCA, MCA, BSc/MSc

Preferred Qualifications/ Skills
•Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations
•Flexibility to adapt to a variety of engagement types, working hours and work environments and locations
•Excellent written, oral communication and presentation skills
•Bring a data-driven approach to decision making
•intellectually curious, always eager to learn new skills and share the knowledge with others
•Proactive planner and can work independently to manage own responsibilities
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 'starter kit,' paying to apply, or purchasing equipment or training.