Lead Consultant-Senior Data Scientist!

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 implementdata, 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 Lead Consultant, Senior Data Scientist!

In this role, you will have a strong background in Gen AI implementations, data engineering, developing ETL processes, and utilizing machine learning tools to extract insights and drive business decisions. The Data Scientist will be responsible for analysing large datasets, developing predictive models, and communicating findings to various stakeholders

Responsibilities

• Develop and maintain machine learning models to identify patterns and trends in large datasets.

  
  

• Utilize Gen AI and various LLMs to design & develop production ready use cases.

  
  

• Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.

  
  

• Communicate complex data findings and insights to non-technical stakeholders in a clear and concise manner.

  
  

• Continuously monitor and improve the performance of existing models and processes.

  
  

• Stay up to date with industry trends and advancements in data science and machine learning.

  
  

• Design and implement data models and ETL processes to extract, transform, and load data from various sources.

  
  

• Good hands own experience in AWS bedrock models, Sage maker, Lamda etc

  
  

• Data Exploration & Preparation – Conduct exploratory data analysis and clean large datasets for modeling.

  
  

• Business Strategy & Decision Making – Translate data insights into actionable business strategies.

  
  

• Mentor Junior Data Scientists – Provide guidance and expertise to junior team members.

  
  

• Collaborate with Cross-Functional Teams – Work with engineers, product managers, and stakeholders to align data solutions with business goals.

  
  

Qualifications we seek in you!

Minimum Qualifications

• Bachelor's / Master's degree in computer science, Statistics, Mathematics, or a related field.

  
  

• Relevant years of experience in a data science or analytics role.

  
  

• Strong proficiency in SQL and experience with data warehousing and ETL processes.

  
  

• Experience with programming languages such as Python & R is a must. (either one )

  
  

• Familiarity with machine learning tools and libraries such as Pandas, scikit-learn and AI libraries.

  
  

• Having excellent knowledge in Gen AI, RAG, LLM Models & strong understanding of prompt engineering.

  
  

• Proficiency in Az Open AI & AWS Sagemaker implementation.

  
  

• Good understanding statistical techniques such and advanced machine learning

  
  

• Experience with data warehousing and ETL processes.

  
  

• Proficiency in SQL and database management.

  
  

• Familiarity with cloud-based data platforms such as AWS, Azure, or Google Cloud.