Principal 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 anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep 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 teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook.

Inviting applications for the role of Principal 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.

Experience with Azure ML Studio is desirable.

Knowledge of different machine learning algorithms and their applications.

Familiarity with data preprocessing and feature engineering techniques.

Preferred Qualifications / Skills

Experience with model evaluation and performance metrics.

Understanding of deep learning and neural networks is a plus.

Certified in AWS Machine learning , AWS Infra engineer is a plus

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.