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 anadvanced 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,
Data Scientist
We are looking for a highly motivated and technically proficient
Senior Data Scientist
with deep
expertise
in
time series forecasting
,
machine learning
,
natural language processing (NLP)
, and
Python programming
. This role is critical to enhancing our forecasting capabilities, driving product segmentation strategies, and supporting data-driven decision-making.
The candidate will work closely with cross-functional teams including data engineers, analysts, and project managers to develop, test, and deploy scalable forecasting models and analytical solutions in a cloud-based environment.
Responsibilities
Forecasting & Model Development
Design, develop, and implement
advanced time series forecasting models
(e.g., ARIMA, Prophet, LSTM,
XGBoost
, etc.) tailored to different product categories and business needs.
Evaluate and improve
forecast accuracy
by
establishing
robust metrics and conducting regular performance assessments throughout the sales cycle.
Run
what-if scenarios
and simulations to assess the impact of various business conditions on forecast outcomes.
Segmentation & Clustering
Collaborate with the Senior Data Scientist to perform
generate actionable insights for inventory and sales planning.
Data Extraction & Feature Engineering
Extract, clean, and transform data from
multiple source systems
(e.g., SQL databases, APIs, cloud storage) to support
modeling
and analysis.
Engineer relevant features and variables to enhance model performance and interpretability.
Model Evaluation & Deployment
Conduct
comparative analysis of forecasting methods
across different segments, tuning parameters and optimizing performance.
Work in close coordination with
Data Engineers
and
cloud platform teams
to ensure seamless deployment of models into production environments (e.g., AWS, Azure, GCP).
Monitor deployed models for drift, accuracy, and performance, and implement retraining pipelines as needed.
Collaboration & Communication
Partner with cross-functional stakeholders to understand business requirements and translate them into analytical solutions.
Present findings, insights, and recommendations to both technical and non-technical audiences through reports, dashboards, and presentations.
Qualifications we
seek
in you!
Minimum Qualifications / Skills
Good
years
of hands-on experience in data science, with a strong focus on
forecasting and predictive analytics
.
Proficiency
in
Python
and its data science ecosystem (Pandas, NumPy, Scikit-learn, TensorFlow/
PyTorch
, Statsmodels
, etc.).
Strong understanding of
time series analysis
,
machine learning algorithms
, and
NLP techniques
.
Experience with
data extraction and manipulation
using SQL and/or cloud-based data tools.
Familiarity with
cloud platforms
(AWS, Azure, or GCP) and model deployment workflows.
Ability to work in a
fast-paced, agile environment
with shifting priorities and tight deadlines.
Excellent problem-solving, analytical thinking, and communication skills.
Preferred Qualifications/ Skills
Master's
in computer science
, Data Science, Statistics, or a related field
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 PostingJul 25, 2025, 1:52:54 AM
Unposting DateOngoing
Master Skills ListOperations
Job CategoryFull Time
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