Assistant 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 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 Assistant Manager, Data Scientist! 

In this role, we are seeking a highly skilled and experienced Generative AI Specialist for developing and implementing cutting-edge generative models to solve complex problems using LLM technology. Need to collaborate with cross-functional teams, conduct research, and deliver innovative solutions in the field of generative artificial intelligence. 

Responsibilities 

• Participating and collaborating with operation teams in the organization to understand the business requirements and to deliver scalable solutions. 

• Conduct thorough research on state-of-the-art generative AI techniques, stay up to date with the latest advancements, and apply them to enhance the capabilities of LLM models. 

• Ability to create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection. 

• Ability to use creativity to spot trends and tease out patterns in large datasets. 

• Strong analytical and problem-solving skills, and ability to set goals and meet deadlines in fast paced working environment. 

• Analyze user behavior, conversion data, customer journeys to generate hypothesis and build optimization plans and provide insights for feature improvements. 

• Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies. 

• Continuously think on how to improve the analytics infrastructure for the team and automate processes. 

• Perform deep dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents. 

• Provide thought leadership within the marketing analytics community. 

Qualifications we seek in you! 

Minimum Qualifications 

• Master’s or Bachelor’s degree in Statistics, Mathematics, Computer Science, or another quantitative field. 

• Experience using computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets. 

• Experience in using industry standard AI/ML libraries i.e., Sklearn, Keras, Tensorflow, AutoML etc. 

• Solid understanding of generative AI concepts, frameworks, and techniques, with hands-on experience in developing and deploying generative models. 

• Proficiency in working with Large Language Models (LLMs), such as GPT-3, GPT-4, or similar models. 

• Strong programming skills in languages such as Python and experience with deep learning libraries/frameworks (e.g., TensorFlow, PyTorch). 

Preferred Qualifications/ Skills 

• Effective communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment. 

• Familiarity with natural language processing (NLP) and understanding of various NLP tasks is a plus. 

• Prior experience in handling LLM use cases or working with large-scale language models is highly desirable. 

• Ensure data quality and integrity through best practices and compliance to framework, architecture, and coding standards. 

• Experience with cloud computing platforms (preferably Azure) for deploying and managing machine learning models. 

• Hands-on experience with generative AI models and techniques such as GANs, VAEs, and transformer models. 

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.