Job Description

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.

JobManager

Primary LocationIndia-Bangalore

Education LevelBachelor's / Graduation / Equivalent

Job PostingSep 11, 2025, 10:55:48 PM

Unposting DateOct 12, 2025, 1:29:00 PM

Master Skills ListOperations

Job CategoryFull Time