Senior Data Scientist

Job Description

Skill Set : ? Data Science ? Machine Learning ? Data Modelling and Statistical Analysis ? Experience in Python , DBs and ML packages ? Experience in Flask API , Cloud services (Azure, AWS, Open AI , Gemini Flash) ? Experience in version control and collaborating with development teams ? Knowledge of Deep Learning Frameworks(Pytorch / TensorFlow etc) Responsibility ?Sanitize, analyze, and preprocess structured and unstructured data using tools like Pandas, NumPy, SQL, and Spark. ?Implement ML algorithms using Python and libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost. Perform feature engineering , model tuning, and validation to optimize model performance. Develop dashboards and reports using tools like Power BI, Tableau , or Streamlit for stakeholder communication. ?Continuously monitor and improve the performance of deployed models. ?Stay updated with the latest trends in ML/AI and bring innovative ideas to the table. ?ML data scientists in finance having knowledge in working on the below mentioned: ? Risk Modelling : Developing predictive models for credit risk scoring, customer churn, Propensity, and fraud detection. ? Customer Analytics : Creating customer segmentation and churn prediction models. ? Trading & Investment : Applying ML to high-frequency trading strategies and asset management. ? Delete : Develop dashboards and reports using tools like Power BI, Tableau, or Streamlit for stakeholder communication.