With a startup spirit and 80,000+ curious and courageous minds, we have the expertise to go deep with the world’s biggest brands and we have fun doing it.
Now, we’re calling all you rule-breakers and risk-takers who see the world differently, and are bold enough to reinvent it.
Come, transform with us.
Inviting applications for the role of
As a Head of Data Science (PVAI), you will be responsible to lead the team responsible to build and deliver ML models in PVAI product line.
Transformation Happens Here
At Genpact, we seamlessly blend digital transformation with human experience, innovation and curiosity. We are a leader in providing artificial intelligence capabilities to enterprises.
And we are accelerating digital transformation across industries through our products and consulting, powered by Genpact Cora.
Understand the PVAI business requirements and priorities and work with business to identify high-impact and feasible roadmap areas for the team from time to time.
Own and deliver data science team, and be in charge of the estimation and planning done by the team making sure that the dependencies are tracked correctly and results are produced in an efficient and timely manner.
Also take care of regular feedback and performance appraisals.
Act as a technical guide to the team helping them in translating the business problems to the most appropriate mix of specific machine learning or data analysis tasks.
Also be a mentor to the team members helping them with career planning and growth.
evangelist of best practices and the right tools in AI / ML. Proactively create a great working environment where each individual brings out the best they can offer.
You have a strong academic background in statistics and machine learning. The typical candidate has a Bachelor’s or Master’s degree in Math, Statistics, Computer Science, Physics or such quantitative fields.
experience related to data science. You have worked on a variety of complex machine learning modelling problems, gathering a great deal of practical wisdom on how to apply these techniques to real world scenarios.
Wide range of statistical and machine-learning tools under your belt. These include linear models for regression and classification, multi-
level models, factor analysis & PCA, discriminant analysis, support vector machine, decision tree ensembles & bootstrap, neural networks, mixture models & clustering algorithms, and so on.
You are proficient in at least one programming language commonly used for data analysis (like R / Python), and you are comfortable with SQL.
Previously worked on business analytics problems like customer churn, lifetime value estimation, targeted marketing, personalized offers, etc.
Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation.