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.
Key Responsibilities
- Support the development and testing of analytical and statistical models under senior guidance.
- Apply hypothesis testing, regression, and simple machine learning methods to solve structured data problems.
- Clean, transform, and visualize datasets using Python and basic BI tools.
- Assist in feature engineering, model validation, and documentation of analytical workflows.
- Collaborate with senior consultants to prepare reports and dashboards for client presentations.
- Explore and document emerging data sources and technologies relevant to ongoing projects.
Required Skills and Qualifications
- Bachelor’s or Master’s in Computer Science, Statistics, Data Science, or a related quantitative field.
- 1–2 years of experience in data analytics or applied statistics.
- Proficiency in Python or R for data processing and visualization.
- Understanding of machine learning fundamentals, data wrangling, and exploratory analysis.
- Familiarity with SQL and basic data pipelines.
- Exposure to cloud environments (AWS or Azure) and Git version control.
- Strong analytical thinking and eagerness to learn from senior mentors.
Preferred Qualifications
- Experience fine-tuning generative models and integrating classic AI techniques.
- Prior leadership experience and a record of mentoring junior colleagues.
- Domain expertise in healthcare, transportation, technology, insurance, or related sectors.