Advanced Data Science Associate

Zs Associates; Bengaluru; Hybrid; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Comprehensive total rewards package

Skills-building programs

Career progression paths

Job summary

Zs Associates is seeking a motivated data scientist to develop solutions for business challenges. The ideal candidate has a Master's in a relevant field and 1-2 years of experience in data science, leveraging skills in statistical techniques, machine learning, and programming. Zs offers a hybrid work model.

Join a collaborative environment where you’ll work with advanced technologies and grow through tailored learning paths, contributing to cross-functional projects and client relationships.

Qualifications

• 1-2 years of data science experience with proficiency in generative AI and deep learning.
• Robust academic performance with coursework in analysis and quantitative skills.
• Knowledge of big data and advanced analytical concepts.

Responsibilities

• Develop advanced algorithms for high-dimensionality problems.
• Utilize hypothesis testing and retrieval processes in analysis.
• Collaborate with clients to communicate findings and assess new datasets.

Skills

Statistical techniques

Machine learning

Data-mining techniques

Generative AI

Deep learning

Programming languages (Java, Python, R)

Education

Master's degree in computer science, statistics, or relevant field

Tools

Hadoop ecosystem

Amazon Web Services

Database systems

Job description

ZS is a management consulting and technology firm focused on improving life and how we live it. The Insights & Analytics team designs and delivers data‑driven solutions to help clients solve business challenges.

What you’ll do

• Develop advanced and efficient statistically effective algorithms that solve high‑dimensionality problems.
• 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 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.
• Robust academic performance with coursework emphasizing analysis and quantitative skills.
• Knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling).
• Proficiency in at least one programming language (e.g., Java, Python, R).
• Experience with tools/platforms such as the Hadoop ecosystem, Amazon Web Services, or database systems.
• Fluency in English.

How you’ll grow

• Cross‑functional skills development and 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

Employees are onsite at clients or ZS offices three days a week, with the option to work remotely two days a week. Work is flexible and connected to support collaboration and innovation.

Travel

Travel is a requirement for client‑facing ZSers. Project and client needs determine frequency, with the goal of strengthening client relationships and enhancing professional growth.

Perks & Benefits

ZS offers a comprehensive total rewards package that supports health and well‑being, financial future, time away, and professional development. The program includes robust skills‑building, multiple career progression paths, internal mobility, and a collaborative culture to help employees thrive.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.