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.
We are inviting applications for the role of Business Analyst - Data Science!
This role supports Commercial Analytics enablement, which includes understanding business trends, and providing data driven solutions. Within the Analytics, crafted to support brands and go-to-market strategies, Customer Analytics focuses on bringing and scaling analytics solutions that advances Customer centricity and transformation. The Analytics member is accountable for providing analytic expertise and delivering business insights to the Commercial organization.
We're looking for a technically sound and who is interested in working within a customer environment.
Data analytics Knowledge in Life Sciences/Healthcare/CPG
Work location: Bangalore
Responsibilities
.Implementing Analytics for business decision support and statistical/machine learning models like regression (linear, non-linear, mixed models and Bayesian models), classification and unsupervised models i.e., K-Means clustering and Hierarchical clustering in solving key business problems and delivered measurable impact. Clear understanding of statistical concepts and understanding of the underlying assumptions of the models
.Good hands-on experience in Python/R, SQL, visualization tools (PowerBI or Tableau), MS Excel, MS-power point (for delivering insights and results)
. Understanding (not implementation) of deep learning concepts, cognitive cloud APIs from AWS/Azure, Docker and MLOPs is preferred, Experienced in business analytics in pharmaceutical/CPG Company or KPO.
. Ability to handle various data sources (format - structured and unstructured volume - sparse and large), using data modeling to develop reporting capabilities and valuable insights across these data sources is key.
. Provide increased focus on analytics and emphasize on providing valuable insights to drive improvement opportunities
.Automate data preparation via data pipelines and insights/report creation where possible
.. Ability to comprehend business needs, convert them into BRD & TRD (Business/Technical requirement document), develop implementation roadmap and execute on time
.Ownership of tasks assigned without supervisory follow-up
.Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations
Qualifications
Minimum qualifications
. Master's or bachelor's in engineering - BE/B- Tech, BCA, MCA, BSc/MSc
.Master's in science or related
Second preference : Technical skills Python, R and PowerBI