Data Scientist - Machine Learning/Statistical Modeling (4-5 yrs)

About the Role :

We are seeking a highly skilled and motivated Data Scientist with a strong background in the insurance domain to join our team.

As a Data Scientist, you will play a critical role in leveraging data to drive key business decisions, improve operational efficiency, and gain a competitive advantage.

You will work closely with business stakeholders to understand their needs and apply data science techniques to solve complex challenges within the insurance industry.

Key Responsibilities :

- Analyze large and complex datasets from various sources within the insurance domain (e.g , claims data, policy data, customer data).

- Develop and implement predictive models for various insurance applications, such as:

- Customer Churn Prediction: Identify customers at high risk of churn and develop strategies to retain them.

Fraud Detection: Develop models to identify and prevent fraudulent claims.

Risk Assessment: Develop models to assess risk and price insurance policies accurately.

Customer Segmentation: Segment customers based on their risk profiles and behavior to personalize product offerings and improve customer experiences.

- Utilize statistical and machine learning techniques (e.g , regression, classification, clustering, decision trees, neural networks) to build and deploy predictive models.

- Extract, transform, and load (ETL) data from various sources into data warehouses and data lakes.

- Cleanse and prepare data for analysis, ensuring data quality and accuracy.

- Develop and maintain data pipelines for efficient data processing and analysis.

- Leverage expertise in Guidewire PolicyCenter, ClaimCenter, and BillingCenter to understand data structures and business processes within the Guidewire ecosystem.

- Utilize Guidewire data for analysis and model development.

- Develop and deliver insightful reports and dashboards to communicate data-driven insights to business stakeholders.

- Present findings and recommendations to business leaders in a clear and concise manner.

- Stay abreast of the latest advancements in data science, machine learning, and the insurance industry.

- Explore and implement new data science techniques and technologies to improve business outcomes.

Qualifications :

Essential :

- 4+ years of experience as a Data Scientist with a strong focus on the insurance domain.

- Proven experience in developing and deploying data science models in a business environment.

- Strong proficiency in SQL and experience working with large datasets.

- Experience with data visualization tools (e.g , Power BI, Tableau).

- Strong analytical and problem-solving skills with a data-driven approach.

- Excellent communication and presentation skills.

- Master's degree in Statistics, Mathematics, Computer Science, or a related field