Mid-level Data Science Associate Consultant - India

Job Title: Mid-level Data Science Associate Consultant

Job Type: Full-time

Location: Remote / Hybrid India

Job Summary:

ZSs 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:

• 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.

Required Skills and Qualifications:

• Masters in Computer Science, Statistics, Data Science, or related field with 24 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) and 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.

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.