Skill: Data Scientist
Location: Mumbai
Experience: 10 to 16 Years
Job Description:
Mandate Skills:
Statistical & Machine Learning: Proficient in building supervised learning models (e.g., regression, classification, decision trees, ensemble methods).
- Skilled in unsupervised learning techniques (e.g., clustering, dimensionality reduction, anomaly detection).
- Ability to apply statistical methods for hypothesis testing, feature engineering, and model evaluation (ROC, AUC, precision-recall, etc.).
Programming & Tools: Python, Jupyter Notebooks, and libraries such as scikit-learn, pandas, NumPy.
Primary Skills Good To have
- Teradata Expertise: Strong hands-on experience with Teradata SQL, ClearScape Analytics, and ModelOps for deploying and managing models at scale.
- Domain Knowledge: Insurance industry processes, risk modelling, and customer analytics.
Responsibilities:
- Analyze large datasets and develop predictive models within Teradata Data Lake/Lakehouse environments.
- Write simple, efficient SQL queries and collaborate with data engineering teams to build and validate data pipelines with robust data checks.
- Prepare, clean, and standardize data for analysis and modelling.
- Build supervised and unsupervised ML models using Python and Jupyter Notebooks.
- Communicate insights through clear reports and visualizations
- Document processes and ensure data quality standards.
- Stay updated on emerging technologies to improve model performance and reliability.
Interested candidates, please share resumes on [Confidential Information]