Mid-level Data Science Associate Consultant

About This Role

Design and implement advanced analytical and machine learning models to solve complex business challenges within ZS's Insights & Analytics group. Extract insights from data, develop scalable analytical workflows, and collaborate with cross-functional teams to drive data-driven decision-making.

Responsibilities

• Design and implement advanced analytical and ML models to solve complex business challenges
• Apply data mining, predictive modeling, and NLP techniques to extract insights from structured and unstructured data
• Develop scalable analytical workflows using Python and integrate results into client systems
• Build and maintain data pipelines; optimize data ingestion and transformation processes
• Collaborate with cross-functional teams to interpret findings and influence data-driven decision-making
• Develop reusable analytical assets and contribute to platform scalability initiatives
• Mentor junior analysts and ensure best practices in data science workflows

Requirements

• Master’s in Computer Science, Statistics, Data Science, or related field
• 2-4 years of experience
• Proficiency in Python (pandas, NumPy, scikit-learn) or R for model building and analysis
• Experience with machine learning pipelines, feature selection, and model evaluation
• Hands-on knowledge of big data tools (Spark, Hadoop)
• Hands-on knowledge of cloud platforms (AWS, Azure)
• Familiarity with SQL and NoSQL data stores
• Ability to translate technical results into actionable business recommendations
• Experience working in agile environments and leading small-scale analytical projects

Qualifications

• Master’s in Computer Science, Statistics, Data Science, or related field
• 2-4 years of experience, including experience with machine learning pipelines, feature selection, and model evaluation

Nice to Have

• 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

Skills

* Required skills