- Location
- Bengaluru, KA, IN · Gurgaon, HR, IN · Pune, MH, IN
- Workplace
- Remote, Hybrid, Onsite
- Type
- Full-time
- Department
- Management
- Seniority
- Entry
- Closing date
- Today
- Source
- iCIMS
Description
Role Description
Insights & Analytics
ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.
What you’ll do:
- Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality.
- Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
- Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings.
- Contribute to the assessment of emerging datasets and technologies that impact our analytical platform.
What You’ll Bring:
- A master’s degree in computer science, Statistics, or a relevant field;
- 1-2 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions.
- A robust academic performance history with coursework emphasizing analysis and quantitative skills.
- A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.).
- A proficiency in at least one programming language (e.g., Java/Python/R).
- Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems.
- Fluency in English.
How you’ll grow:
- Cross-functional skills development & custom learning pathways
- Milestone training programs aligned to career progression opportunities
- Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
Hybrid working model:
ZS is committed to a Flexible and Connected way of working. ZSers are onsite at clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
