Join MAPFRE USA as a Data Scientist II

Overview:

Looking to push the boundaries of predictive analytics and establish a competitive edge in the insurance industry? Join us at MAPFRE USA where your expertise as a Data Scientist II will help shape our strategic initiatives across multiple functional areas such as marketing, product development, operations, and claims.

This pivotal role involves researching and developing predictive models and analytical techniques using both internal and external data. You will explore a variety of complex topics, including insurance premiums, customer lifetime value, and purchasing behaviors. Your work will directly influence our practices through broad implementations and targeted pilot projects, enhancing our ability to adapt and innovate quickly.

Responsibilities:

As part of our team, you will:

• Develop and apply predictive models using advanced statistical techniques.
• Leverage cutting-edge Generative AI technologies such as prompt engineering and LLM fine-tuning to tackle intricate challenges in the insurance domain.
• Work collaboratively with cross-functional teams to design and deploy analytic solutions that drive significant strategic impact.

Required Skills and Qualifications:

Educational Background: Degree in Statistics, Economics, Mathematics, Finance, Engineering, Science, or a related field equipped with quantitative analytics.

Technical Proficiency: Strong foundation in:

• Statistical methods (GLM, multivariate analysis, forecasting)
• Machine learning techniques
• Programming (SQL, SAS, Python, R)

Experience: Prior experience in the insurance or financial industries is preferable, particularly in roles involving large datasets and advanced predictive analytics.

Preferred Qualifications:

• Proven ability to develop solutions for marketing, underwriting, pricing, product development, risk management, and more.
• Deep understanding of P&C insurance business and related data dynamics.
• Excellent communication skills, capable of explaining complex technical details to both technical and non-technical audiences.
• Proficiency in data modeling and software tools such as SAS, SQL Server, Teradata, and others listed.

Working at MAPFRE:

We are committed to fostering an inclusive environment and are proud to be an equal opportunity employer. All qualified applicants are encouraged to apply.

If you require accommodations at any stage of the selection process due to a disability, please reach out to our Talent Acquisition team at [email protected].

Ready to advance your career with MAPFRE? Apply now to become a key player in our innovative team!