Job DescriptionRole Overview

NWe are seeking highly skilled Analytics & Data Science professionals (5–7 years of experience) with solid domain expertise in Insurance/Financial Services. The role focuses on developing data-driven solutions across Fraud Detection, Risk Prediction, and Underwriting Analytics.

NKey Responsibilities

n

N
- Develop and deploy machine learning models for fraud detection, underwriting risk, and customer risk profiling.
N
- Build scalable data pipelines and feature engineering frameworks using Python and SQL.
N
- Design and implement end-to-end ML workflows including model training, validation, and deployment.
N
- Work with business stakeholders to translate business problems into analytical solutions.
N
- Perform exploratory data analysis (EDA), model monitoring, and performance tuning.
N
- Create impactful dashboards and reports using Power BI/Qlik Sense for decision-making.
N
- Collaborate with data engineering and IT teams for production-grade model deployment.
N

nRequired Skills & Qualifications

N

n




- 5–7 years of experience in Analytics & Data Science roles.
N
- Domain experience in Insurance or Financial Services (Fraud, Risk, Underwriting preferred).
N
- Strong programming skills in Python and SQL.
N
- Hands-on experience with machine learning techniques and model lifecycle management.
N
- Experience with visualization tools such as Power BI/Qlik Sense.
N
- Understanding of ML deployment and MLOps concepts.
N

nGood to Have

n

N
- Experience with cloud ML platforms such as Azure ML, Google Vertex AI or AWS SageMaker.
N
- Exposure to big data ecosystems and real-time data processing.
N
- Knowledge of regulatoryand compliance considerations in financial services (preferably Insurance)
N

nKey Competencies

N

n
- Strong analyticaland problem-solving skills.
N
- Ability to work in a fast-paced, business-driven environment.
N
- Excellent communicationand stakeholder management skills.
N

📌 Senior Data Analyst (Alibag)
🏢 Magma General Insurance
📍 Alibag