OpenOpportunity Sourced Jobs — Bengaluru, Noida, Gurugram
Full Time · On Site · Entry Level
Role: Data Science & Analytics - Other | Department: Data Science & Analytics | Industry: Analytics / KPO / Research | Education: UG: Any Graduate PG: Any Postgraduate 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. 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. Location - Bengaluru, Gurugram, Noida, Pune Note: This is the genuine ZS Associates-branded original of the content that appears, distributed through a Micro1 staffing channel, in Jobs 4 and 5 above -- both share the identical "ZS's Insights & Analytics group" opening paragraph, confirming those two postings are legitimate ZS content rather than fabrications. This copy correctly preserves the hyphen in "1-2 years," matching its own advertised band exactly (unlike the Micro1 copies' "12 years"/"24 years" artifacts). Two issues specific to this copy: the source text has missing-space artifacts scattered throughout ("Whatyoulldo," "Howyoullgrow," "Amasters degree"), consistent with spacing collapsing around bolded text during extraction, and the "How you'll grow" section (three bullet points) is duplicated verbatim later in the same posting. The body's own "Location" line also lists "Bengaluru, Gurugram, Noida, Pune," but the listing itself is filed only under "Bengaluru, Noida, Gurugram" -- Pune is named in the body but absent from Naukri's actual city filing.
data science, management consulting, python, data analytics, data mining, ai, social listening, machine learning, research, analytics, deep learning, r, java, predictive modeling, programming language, hadoop, big data, programming, statistics