Advanced Data Science Associate

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.

Whatyoulldo:

• Develop advanced and efficientstatistically effective algorithms that solve problems of highdimensionality.
• Utilizetechnical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques toidentify trends, createfigures, and analyze other relevantinformation.
• Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings.
• Contribute to the assessment of emerging datasets and technologies thatimpact our analytical platform.

What Youll Bring:

• Amasters 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.

Howyoullgrow:

• 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 aFlexible and Connectedway of working.ZSersareonsiteat 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.

How youll 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