Job highlights

- Bachelor s or Master s degree in Engineering,Computer Science,Statistics,Mathematics,or related fields
- Our requirements . 5 7 years of proven experience in Data Science,Machine Learning,and predictive modelling
- Experience with cloud based analytics ecosystems (Azure preferred)

Responsibilities
- Lead end to end delivery of Data Science and ML projects, ensuring high quality technical outcomes and timely execution.
- Work closely with business teams to understand complex problems, define use cases, and translate them into analytical solutions.
- Conduct EDA, feature engineering, model development, and validation using industry best practices.
- Build, deploy, and monitor machine learning models (supervised, unsupervised, forecasting, NLP).
- Own project scoping, planning, timelines, risks, stakeholder communication, and status updates.
- Ensure robust model documentation, reproducibility, versioning, and lifecycle management.
- Collaborate with Data Engineering teams to ensure data readiness and pipeline design.
- Drive alignment between business requirements, analytical outputs, and measurable value.
- Stay updated on emerging trends in ML, GenAI, MLOps, and bring innovation to the function.

Our requirements
- 5 7 years of proven experience in Data Science, Machine Learning,



and predictive modelling.
- Robust proficiency in Python, Scikit learn, Pandas, NumPy; exposure to PyTorch/TensorFlow.
- Solid foundation in statistics, experimentation design, model tuning, and ML theory.
- Experience deploying ML models using MLFlow, Azure ML, Databricks, or equivalent platforms.
- Intermediate to advanced SQL skills.
- Strong project management capabilities scoping, planning, sprint/task management, risk handling.
- Excellent stakeholder management & communication skills, with ability to work independently.
- Experience with cloud based analytics ecosystems (Azure preferred).
- Experience with GenAI, LLM-based solutions, embeddings, or vector databases.
- Familiarity with feature stores, Delta Lake, or real time inference.
- Prior involvement in enterprise-scale AI/ML project delivery.

Education Bachelor s or Master s degree in Engineering, Computer Science, Statistics, Mathematics, or related fields.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Lead - Data Scientist (Bengaluru)
🏢 KK Wind Solutions
📍 Bengaluru