Manager - Lean Digital Transformation

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 Manager, Lean Digital Transformation 

We are seeking an experienced and skilled Full Stack Data Scientist to join our team. In this role, you will be responsible for driving data-driven decision-making and delivering actionable insights through advanced data modelling, statistical analysis, and machine learning techniques. You will leverage your expertise in various domains, including classification, regression, graph transformers, and root cause analysis, to solve complex business problems and drive innovation. 

Responsibilities 

• Design, develop, and implement statistical, machine learning, and deep learning models to solve complex business problems  

• Fine-tune transformer models for specific tasks and domains  

• Perform ETL (Extract, Transform, Load) activities to prepare data for analysis and modelling 

• Implement and maintain ML-Ops practices to ensure efficient model deployment and management 

• Collaborate with data engineers to optimize data pipelines and improve data quality 

• Analyse large datasets using advanced statistical methods and machine learning techniques 

• Develop and maintain Python-based data processing and analysis scripts 

• Create clear and concise documentation for all models and processes  

• Present findings and recommendations to stakeholders in a clear, understandable manner 

• ML Ops Certification in AWS or Azure  

• Strong proficiency in Python programming, including libraries such as NumPy, Pandas, Scikit-learn, PyTorch 

• Extensive experience with deep learning frameworks and techniques 

• Hands-on experience fine-tuning transformer models (e.g., BERT, GPT, T5) 

• Expertise in data manipulation, cleansing, and preprocessing techniques, as well as data visualization tools (e.g., Matplotlib, Seaborn, Tableau) 

• Knowledge of database systems (e.g., SQL, NoSQL) and experience with data warehousing and data lake architectures. 

• Experience with ETL processes and working with data warehouse  

• Solid understanding of statistical modelling, machine learning algorithms, and their practical applications 

Qualifications we seek in you! 

Minimum Qualifications / Skills 

• Relevant years of experience in data science and machine learning roles, with a strong understanding of data modelling, statistical analysis, and machine learning techniques.  

• Engineering in relation fields like Computer Science, IT, ML, Data Science\ 

• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and their data services. 

• Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, or similar) 

• Strong understanding of classification, regression, and graph transformer techniques, as well as their applications in various domains. 

Preferred Qualifications/ Skills 

• Experience in root cause analysis and implementing statistical methods for causal inference and experimental design. 

• Excellent problem-solving, analytical, and critical thinking skills. 

• Strong communication and collaboration abilities, with the ability to work effectively in cross-functional teams 

• Passion for staying up-to-date with the latest advancements in data science, machine learning, and related technologies  

Why join Genpact?  

• Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation  

• Make an impact – Drive change for global enterprises and solve business challenges that matter  

• Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities  

• 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 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.