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Advanced Data Science Associate

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Job Description

Location: Bengaluru, India
Department: Insights & Analytics – Advanced Data Science
Job ID: 21862

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 engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value across critical business areas. Bring your curiosity for learning, bold ideas, courage, and passion to drive life-changing impact at ZS.

The Insights & Analytics group partners with clients to design and deliver analytical solutions for a wide range of business challenges. Teams work on multiple projects simultaneously using advanced analytics and problem-solving techniques. Recommendations are driven by rigorous research, deep expertise, and thought leadership.

What You’ll Do:

  • Develop advanced and statistically effective algorithms for high-dimensional problems.
  • Apply hypothesis testing, machine learning, and data mining techniques to identify patterns and insights.
  • Create visualizations, figures, and analytical summaries.
  • Collaborate with clients and ZS stakeholders to communicate findings and integrate analysis into solutions.
  • Evaluate emerging datasets and technologies that enhance analytical platforms.

What You’ll Bring:

  • A master’s degree in Computer Science, Statistics, or a related field.
  • Strong academic performance with quantitative and analytical coursework.
  • Knowledge of big data, analytical algorithms, text mining, social listening, recommender systems, and predictive modeling.
  • Proficiency in at least one programming language (Python/Java/R).
  • Experience with Hadoop ecosystem, AWS, or large database systems.
  • Fluency in English.

Perks & Benefits:

  • Comprehensive benefits covering health, well-being, financial planning, and annual leave.
  • Professional development programs, strong career progression pathways, and internal mobility options.
  • Flexible work model combining remote and on-site collaboration.

Travel:

Some projects require travel depending on client needs. Travel provides opportunities for professional growth, diverse exposure, and strengthening client relationships.

Diversity, Inclusion & Belonging:

ZS supports a culture built on inclusion, respect, and a broad variety of backgrounds and viewpoints. The firm encourages applicants from all identities, experiences, and perspectives.

Application Requirements:

  • Valid work authorization for the intended country of employment.
  • Online application with full transcripts (official or unofficial).
  • No agency calls.

Website: www.zs.com


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Job Summary

  • Position: Advanced Data Science Associate
  • Company: ZS
  • Location: Bengaluru, India
  • Department: Insights & Analytics – Advanced Data Science
  • Experience Required: Master’s degree + strong quantitative background
  • Key Skills: ML, hypothesis testing, big data, predictive modeling, Python/Java/R, Hadoop, AWS
  • Role Focus: Build advanced algorithms, analyze high-dimensional data, client collaboration

Key Responsibilities (Summary)

  • Create high-efficiency models and complex statistical algorithms.
  • Perform ML-based analysis and generate insights for clients.
  • Work with emerging datasets and contribute to data-driven innovation.
  • Collaborate with internal and external stakeholders to present findings.

Who Can Apply

  • Candidates with a relevant master’s degree and strong analytical background.
  • Individuals skilled in ML, big data tools, and programming.
  • Applicants comfortable working on multiple analytical projects simultaneously.
  • Professionals interested in client-facing analytical roles.

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