Key Responsibilities Understand business problems and translate them into data science solutions

Perform data analysis, data cleaning, and feature engineering on large datasets

Build, evaluate, and optimize machine learning / statistical models

Apply techniques such as regression, classification, clustering, and time‑series modeling

Develop and deploy models using Python‑based ML frameworks

Partner with engineering teams to productionize models and pipelines

Communicate insights and model outcomes to non‑technical stakeholders

Monitor model performance and retrain models as required

Document methodologies, assumptions, and results clearly Required Skills & Qualifications

Technical Skills Solid proficiency in Python (NumPy, Pandas, Scikit‑learn)

Experience with Machine Learning algorithms (Supervised & Unsupervised)

Solid understanding of statistics, probability, and data distributions

Experience working with SQL and relational databases

Knowledge of data preprocessing, feature engineering, and model evaluation

Familiarity with Git and version control Data & Tools Experience with Jupyter / kubeflow / notebooks

📌 Senior Associate Data Science (Hyderabad)
🏢 NPCI
📍 Hyderabad