1. Key Responsibilities

a. Data Science & Machine Learning

- Design, develop, validate, and deploy machine learning and statistical models to solve complex business problems.
- Develop predictive, prescriptive, and anomaly detection models to support business functions and strategic initiatives.
- Conduct model evaluation, performance monitoring, and continuous improvement to ensure accuracy and effectiveness.

b. Data Analysis & Engineering

- Perform data wrangling, cleansing, transformation, and feature engineering on structured and unstructured datasets.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, correlations, and business opportunities.
- Collaborate with data engineering teams to optimize data pipelines and ensure data quality, scalability, and reliability.

c. Analytics & Insights

- Translate business requirements into analytical solutions and recommend data-driven actions.
- Design and execute statistical analyses, hypothesis testing,



and A/B testing frameworks to measure business impact and support decision-making.
- Generate actionable insights through advanced analytics techniques and communicate findings effectively to stakeholders.

d. Visualization & Reporting

- Develop interactive dashboards, reports, and visualizations using tools such as Power BI, Tableau, or similar BI platforms.
- Present analytical findings and model outcomes to business leaders and cross-functional teams in a explicit and meaningful manner.
- Support executive decision-making through insightful reporting and performance monitoring.

2. Required Skills

- SQL
- SAS
- Python
- R
- Data Science
- Classical Machine Learning
- Anomaly Detection
- A/B Testing

3. Experience

5-7 Years

4. Educational Qualification

BE/B.Tech in Computer Engineering, Information Technology, Computer Science, or related discipline.

📌 Technology - Data Science & Analytics (Maharashtra)
🏢 IndusInd General Insurance (RGI)
📍 Maharashtra