Job Description

Ready to build the future with AI?

At Genpact, we don't just keep up with technology--we set the pace. 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, 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

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

-

Sr Data Scientist

We are looking for a detail-oriented

Senior Data Scientist

will support the Membership, Digital Analytics & Data Science pillar of the Enterprise Analytics Team. Reporting directly to the internal team of data science managers, we are looking for candidates who understand the foundational aspect of Data Science and will apply Data Science principles and technology to improve member acquisition, engagement, and retention. In addition, this position will also support growing our digital business and operations teams.

Responsibilities

Under the direct supervision of internal Data Science managers, formulate solutions to problems related to membership acquisition, retention and engagement as well as digital and operations

Be able to independently frame business problems and decompose their constituent parts to determine proper data science solutioning

Build machine learning models and use applied statistics (supervised/unsupervised learning, lift

modeling

, linear/nonlinear programming, feature selection) to support the business

Enhance existing and build new technology solutions in support of business priorities

Use proper statistical techniques to provide ad hoc data science/EDA support when needed

Be a thought partner in the creation of our testing plans and provide "next level" insights related to the measurement of tests

Develop automation jobs after constructing new pipeline modules to automate recurring tasks, including monthly campaigns, monthly model refreshes, etc

Certify all testing/measurement (hypothesis testing, A/B testing, design of experiment, sample size/power calculation)

Communicate complex data science concepts/insights to non-technical audiences

Participate in agile work planning--projects will be selected from use cases across the enterprise

Drive continuous improvement by evaluating and implementing new data science methodologies, tools, and frameworks.

Qualifications we seek in you!

Minimum Qualifications

BSc in Computer Science, engineering (or related area), Statistics, Mathematics, or equivalent experience

Experience in algorithms, data structures, and object-oriented programming

Experience in developing machine learning models for retail use cases

Experience in crafting ad hoc data mining analysis for retail use cases

Experience on engineering and development collaboration tool such as Jira/Confluence/Git

Experience in mentoring and delegating work to junior analysts, involves providing essential business context, offering guidance on bug fixes, and conducting thorough reviews of their work

Implementation experience in building machine learning algorithms and applications, deploying and maintaining NLP models for retail use cases

Experience in time-series forecasting, clustering algorithms, and dimensionality reduction techniques

Strong programming skills in at least one object-oriented programming language (Python,

PySpark

, SQL, Java)

Experience with cluster-computing frameworks (e.g. Spark, Hadoop)

Expertise in configuring and managing large, complex data pipelines using AWS services (e.g., Glue, SageMaker, Lambda), with experience in GCP/Azure as a plus

Eager to learn new algorithms, new application areas and new tools

Experience with engineering and development collaboration tool such as GIT/Jira/Confluence

Experience using pipeline and automation tool including Jenkins and SageMaker

Extract actionable insights from complex datasets using data mining, statistics, and database techniques to measure/understand/improve member acquisition/engagement KPIs

Excellent communication and collaboration skills, working effectively across teams and stakeholders

Why join Genpact?

Lead AI-first transformation

- Build and scale AI solutions that redefine industries

Make an impact

- Drive change for global enterprises and solve business challenges that matter

Accelerate your career

--Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills

Grow with the best

- Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace

Committed to ethical AI

- Work in an environment where governance, transparency, and security are at the core of everything we build

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 140,000+ coders, 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


ScheduleFull-time


Education LevelMaster's / Equivalent


Job PostingDec 16, 2025, 4:49:37 AM


Unposting DateJan 15, 2026, 12:29:00 PM


Master Skills ListOperations


Job CategoryFull Time