Data Science Engineer

About the role

the productive boundary between data science rigour and software engineering discipline — translating complex analytical findings into robust, repeatable, and scalable artefacts embedded in the platform. You will partner with domain experts across BFSI, manufacturing, and healthcare to solve high-value decision

What you'll do

• Ambiguous business problems as precise analytical questions, define success
• Metrics, and design experiments that produce statistically defensible results
• End-to-end data science solutions — from exploratory data analysis and feature
• Engineering through model selection, validation, and production packaging —
• Using Python, pandas, and scikit-learn

What you need

• 1–3 years in data science & ai
• Machine learning
• Python
• Pandas
• Scikit-learn
• SQL
• Statistics
• B.Tech or B.E. or B.Sc or BCA

Good to have

• MLOps
• Deep learning
• NumPy
• Credit risk