Insurance Information Bureau Of India - Data Scientist

Minimum Experience as a data scientist: 8 years

Who we are:

The Insurance Information Bureau of India (IIB), established under IRDAI, plays a key role in collecting, processing, and analysing data to support the growth and governance of India's insurance sector

Purpose:

The Senior Data Scientist will drive business insights, mentor junior scientists, and lead data-driven strategies. Analyze data to support growth, define key challenges, and guide ML development for long-term impact.

Responsibilities:

- Data Analysis & Insights Analyze large insurance datasets to identify trends, patterns, and risk factors, supporting data-driven decision-making.

- Model Development Design and implement machine learning models and predictive analytics to enhance fraud detection, risk assessment, and policy optimization.

- Data Processing & Management Clean, preprocess, and structure raw insurance data for accurate analysis and reporting.

- Business Intelligence & Reporting Develop BI dashboards and visualizations using tools like Power BI to present key insurance metrics to stakeholders.

- Collaboration with Stakeholders Work with regulatory bodies, insurers, and policymakers to provide insights that improve industry governance and operations.

- Fraud Detection & Risk Mitigation Use advanced analytics to detect fraudulent claims, assess underwriting risks, and improve policy pricing models.

- Big Data & Cloud Computing Leverage big data technologies and cloud platforms for scalable data processing and storage.

- Innovation & Continuous Learning Stay updated with emerging data science methodologies and integrate the latest advancements to enhance insurance analytics.

Skills:

- Hands-on experience in data analytics, data science, machine learning, deep learning

- Proven ability in using exploratory analysis and preparing structured and unstructured data to draw conclusions

- Ability to lead machine learning projects and modeling initiatives

- Fluency in Python and SQL for data science

- Advanced knowledge of data analysis, cleaning and preparation

- Understanding of machine learning, deep learning and modeling tools

- Expertise in programming and scripting languages (C++, Java, Python, R, Scala, SAS, SQL) - Experience with statistical analysis and modeling techniques

Soft Skills:

- Analytical thinking skills, Story Telling

- Excellent verbal and written communication skills

- Project management

- Problem-solving skills

Tools and Programs:

Python, PyTorch, TensorFlow, R, SAS, Scala, SQL, Power BI, Tableau, C++, Java

Education:

A bachelors degree in computer science, data science, statistics or related field. A masters degree in data science, information science or similar is preferred.