Lead consultant-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, Data Scientist

In this role, we are looking for candidates who have relevant years of experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.

Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open source tools.

Responsibilities

• Develop transformative AI/ML solutions to address our clients' business requirements and challenges

  
  

• Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning

  
  

• Manage Stakeholder/Customer Expectations

  
  

• Project Blue Printing and Project Documentation

  
  

• Creating Project Plan

  
  

• Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc.

  
  

• Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines

  
  

• Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap.

  
  

• Work with digital development teams to integrate and transform these algorithms into production quality applications

  
  

• Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers

  
  

• Ensure GenAI outputs are contextually relevant,

  
  

• Familiarity with Generative AI technologies, Design and Implement GenAI Solutions

  
  

• Collaborate with service line teams to design, implement and manage Gen-AI solution

  
  

• Familiarity with generative models, prompt engineering, and fine-tuning techniques to develop innovative AI solutions.

  
  

• Designing, developing, and implementing solutions tailored to meet client needs.

  
  

• Understanding business requirements and translating them into technical solutions using GEN AI

  
  

• Works closely with service line teams to design, implement, and manage Generative AI solution

  
  

Qualifications we seek in you!

Minimum Qualifications / Skills

• MS in Computer Science, Information systems, or Computer engineering

  
  

• Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms

  
  

• GenAI Tools

  
  

• Certifications in AI/ML or GenAI

  
  

Technology