As an Advanced Data Science Associate, you will develop advanced and efficient statistically effective algorithms, utilize technical skills such as hypothesis testing and machine learning, and collaborate with clients and stakeholders to integrate and effectively communicate analysis findings.
ZS is a management consulting and technology firm focused on improving life and how we live it, transforming ideas into impact by bringing together data, science, technology, and human ingenuity to deliver better outcomes for all. With a client-first mentality, ZSers drive impact by developing custom solutions and technology products that create value and deliver company results across critical areas of their business.
Why required: To identify trends and analyze relevant information
How recruiters evaluate: Ability to apply statistical techniques to solve problems
Why required: To develop advanced and efficient algorithms
How recruiters evaluate: Proficiency in machine learning techniques and tools
Why required: To develop scalable solutions
How recruiters evaluate: Knowledge of generative AI techniques and tools
Why required: To develop advanced and efficient algorithms
How recruiters evaluate: Proficiency in deep learning techniques and tools
Why required: To analyze trends and identify relevant information
How recruiters evaluate: Ability to apply statistical techniques to solve problems
Why required: To develop scalable solutions
How recruiters evaluate: Knowledge of engineering integration techniques and tools
Why required: To analyze large datasets
How recruiters evaluate: Ability to work with big data tools and technologies
Why required: To analyze trends and identify relevant information
How recruiters evaluate: Ability to apply advanced analytical concepts to solve problems
Why required: To develop advanced and efficient algorithms
How recruiters evaluate: Proficiency in algorithm design and development
Why required: To analyze text data
How recruiters evaluate: Ability to apply text mining techniques to solve problems
Why required: To analyze social media data
How recruiters evaluate: Ability to apply social listening techniques to solve problems
Why required: To develop personalized recommendations
How recruiters evaluate: Ability to apply recommender system techniques to solve problems
Freshers with a master's degree in computer science, statistics, or a relevant field can apply
Experienced professionals with 1-2 years of data science experience can apply
Graduates with a strong academic performance history and coursework emphasizing analysis and quantitative skills can apply
B.Tech graduates with a strong academic performance history and coursework emphasizing analysis and quantitative skills can apply
MCA graduates with a strong academic performance history and coursework emphasizing analysis and quantitative skills can apply
Diploma holders with relevant experience and skills can apply
The average salary for a data science role in India is around ₹12-15 lakhs per annum
Freshers can expect a salary range of ₹8-12 lakhs per annum
Experienced professionals can expect a salary range of ₹15-25 lakhs per annum
Salaries can vary based on location, experience, and company size
Develop and implement data-driven solutions to business problems
Lead data science teams and develop strategic solutions
Oversee data engineering teams and develop scalable solutions
Develops machine learning skills and knowledge
Develops data science skills and knowledge
Develops big data skills and knowledge
To succeed in this role, focus on developing your technical skills, staying up-to-date with industry trends, and building strong communication and collaboration skills
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Advanced Data Science Associate
Bengaluru, India; Gurgaon, India; Noida, India; Pune, India
India
Insights & Analytics
Advanced Data Science
24123
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ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side by side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
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.
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
