Data Scientist 4A

BrightClaim; Dadri; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Genpact in India is seeking a data scientist to design, develop, and deploy ML and generative AI models using Python, SQL, and leading frameworks. Strong emphasis on practical AI solutions and scalability.

You will work with large datasets, tune LLMs, apply NLP techniques, and deploy on cloud platforms such as AWS, Azure, or GCP to deliver measurable impact for global clients.

Qualifications

• Bachelor’s degree in CS/DA/AI or related field.
• Strong programming in Python and SQL.
• Hands-on ML/AI projects experience.
• Familiarity with generative AI concepts and model deployment.

Responsibilities

• Design, develop, and deploy ML and generative AI models for business problems.
• Work with large-scale datasets using Python, SQL and ML libs.
• Develop and fine-tune LLM-based solutions for real-world applications.
• Ensure data quality, integrity, and compliance with best practices.

Skills

Python

SQL

ML/AI

NLP

Education

Bachelor's in Computer Science

Bachelor's in Data Science

Bachelor's in Statistics

Master's in Data Science

Tools

TensorFlow

PyTorch

Keras

Scikit-learn

AutoML

LLM concepts

Job description

Data Scientist

Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or 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 agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description

Inviting applications for the role of [Junior Data Scientist]

We are seeking an innovative and highly skilled Data Scientist with expertise in AI/ML, Generative AI, and Large Language Models (LLMs). The role involves building advanced machine learning models, leveraging generative AI frameworks, and applying data science techniques to solve complex business problems. The ideal candidate will bring strong programming skills, hands-on experience with AI/ML libraries, and exposure to cloud-based AI services.

Responsibilities

• Design, develop, and deploy machine learning and generative AI models to address business needs.

• Work with large-scale datasets using Python, SQL, and industry-standard libraries (Scikit-learn, TensorFlow, PyTorch, Keras, AutoML, etc.).

• Develop and fine-tune LLM-based solutions (GPT-3, GPT-4, or similar models) for real-world applications.

• Ensure data quality, integrity, and compliance with best practices, frameworks, and coding standards.

• Explore and apply natural language processing (NLP) techniques for text understanding, summarization, and sentiment analysis.

• Implement solutions on cloud platforms (Azure, AWS, or GCP) ensuring scalability and efficiency.

• Research and experiment with GenAI, Agentic AI models, and advanced frameworks to drive innovation.

Minimum Qualifications

• Bachelor’s in Computer Science, Data Science, Artificial Intelligence, or related field.

• Strong programming skills in Python and proficiency in SQL.

• Hands-on experience in machine learning, AI, and data science projects.

• Understanding of generative AI concepts, frameworks, and model deployment.

• Proficiency with deep learning libraries such as TensorFlow, PyTorch, or Keras.

Preferred Qualifications/ Skills

• Prior experience in building LLM applications.

• Familiarity with NLP techniques and tasks (NER, sentiment analysis, summarization, text classification).

• Exposure to any cloud AI services (Azure AI, AWS SageMaker, GCP Vertex AI).

• Familiarity with MLOps practices for model lifecycle management.

• Strong problem-solving, communication, and collaboration skills in multidisciplinary environments.

Qualifications

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science

Certifications