Intern-Digital-Advanced Analytics

MAPFRE Insurance is offering a unique opportunity to highly motivated college students who thrive in a team-oriented, fast-paced and enjoyable work environment. If you're ready to learn about the insurance industry and have a strong work ethic, this is a great way for you to start your career. As an intern at MAPFRE Insurance, you'll find yourself tackling real business projects that make an impact on our company.  You will learn about departmental and corporate functions and have opportunities to network with other MAPFRE employees and interns in the program.  Interns will also participate as a team in a Day of Caring community service project.

This is a 10-week summer internship from June 1, 2026 and ending August 7, 2026.  Interns will typically work a 5-day workweek at 38.75 hours / week.  Interns work with their department supervisor to determine weekly schedules.  Interns must commit to the 10-week program for the summer and participate in planned training and activities.

Candidate must be enrolled in an accredited college degree program.  Must be able to provide own transportation.

Summary

The Advanced Analytics team is responsible for the analysis of structured and unstructured data in order to generate predictions, discover insights, or make recommendations that can be used by the Business Areas, applying AI/ GenAI techniques. In addition, the team is committed to the principles of Responsible AI. This includes proactively addressing fairness and bias, safeguarding data privacy, promoting explainability, and maintaining accountability throughout the AI lifecycle. By embedding these principles into its practices, the team fosters trust and drives innovation responsibly.

As an intern of the Advanced Analytics team, you will work on AI projects performing some of the following tasks:

• Understand business needs: Work on understanding the business needs and translating them into actionable requirements.
• Data exploration: Generate datasets with SQL/Spark queries that will be analyzed and whose results will be reported and translated for non-technical audiences, helping the business make data-driven decisions.
• Model development: Train and validate Machine Learning models, interpreting their results.
• Impact Measurement: Evaluate the effectiveness of analytical solutions by measuring project outcomes, validating statistical significance, and ensuring results support business decision-making.
• Communication: Generate insightful presentations based on the data analysis results.
• Code enhancement: Modify existing Python/SQL code to enhance existing data products.
• Responsible AI support: Support the Advanced Analytics team in embedding Responsible AI principles into the development and deployment of machine learning and data-driven solutions.

Department-specific responsibilities, project description, deliverables, etc.:

Advanced Analytics works in a transversal way for all the company’s business areas developing and implementing Artificial Intelligence models. All the models are developed in AWS, using Python, SQL, Spark…  

The deployment is also done in AWS using a Machine Learning Operations module. Once the models are deployed, these are monitored ensuring their accuracy endures over time.

The models depend on the business requirement, for instance, Advanced Analytics has developed:

1. An Auto Fraud model, which predicts if an Auto claim can be fraudulent at the time it is recorded in the system. For this purpose, both Machine Learning and Graph analytics are applied to claims and policy data. With the graph analytics, the relationship among the claim, the insured, their policy, previous fraudulent claims, … are detected. Later, the Machine Learning model calculates the probability of fraud, which is reviewed by the Claims team. The Claims team finally makes the decision about the claim.
2. A Policy Life Expectancy model, which predicts the number of months that a policy will stay with MAPFRE. This is a relevant model, since usually the longer the policy life, the more profitable. In this case, Advanced Analytics developed a survival model applying Machine Learning using policy data and policy tenure. This lets the business make better underwriting decisions.

College Level Preferred 

Graduate Student (Final Year)

Majors and/or Coursework Preferred (Please list):

Mathematics, Statistics, Actuarial Science, or Data Science.

Technical Skills: 

Python - mandatory;

Statistics – mandatory;

SQL – optional;

Spark – optional;

GenAI prompting – optional

At MAPFRE, our commitment to care is not just our purpose; it’s the driving force behind everything we do. We care about the things that resonate with the needs of our employees, our customers and the community. 

• For Employees: We cultivate an inspiring and dynamic workplace where collaboration and innovation fuel the success of our high-performing teams. 
• For Customers: In addition to being Massachusetts’ #1 home and auto insurer, we provide unmatched peace of mind to our customers across the U.S. 
• For the Community: Our culture of care extends to impactful community engagement and environmental initiatives locally and globally. 

This is who we are at MAPFRE, and we invite you to be part of a movement that cares deeply and acts boldly. Together, we make a difference. 

Thank you for considering MAPFRE Insurance as part of your career journey. 

We're proud to be rated "A" (Excellent) by A.M. Best Company. We offer property and casualty insurance, working with over 3,000 independent agents and brokers in 11 states. 

If you require an accommodation for a disability so that you may participate in the selection process, you are encouraged to contact the MAPFRE Insurance Talent Acquisition team at talentacquisition@mapfreusa.com.

We are proud to be an equal opportunity employer.