Mapfre is a leading global insurance company operating in 38 countries and is the largest auto and home insurer in Massachusetts. The Advanced Analytics Intern will support AI and data science initiatives by exploring data, developing and evaluating predictive models, maintaining analytics tools, and communicating insights to business stakeholders. The role also provides experience across the full analytics lifecycle, including data preparation, deployment readiness, monitoring, and performance evaluation.
Partner with business and analytics teams to understand challenges and identify data-driven solutions
Build and analyze datasets using SQL, Spark, and Python to uncover trends, patterns, and business opportunities
Develop, train, and evaluate machine learning models that support strategic decision-making
Participate in the end-to-end AI lifecycle, including data preparation, model validation, deployment readiness, monitoring, and ongoing performance evaluation
Translate complex analytical findings into clear, actionable insights for both technical and non-technical audiences
Measure the effectiveness and business impact of analytical solutions, including validating statistical results
Present analytical findings and recommendations to analytics leaders and business stakeholders through presentations, dashboards and visualizations
Enhance and maintain existing analytics tools, models, and code using Python and SQL
Support the integration of Responsible AI principles, including fairness, explainability, accountability, and data privacy
Qualification
Required
Working knowledge of Python and statistical analysis
Exposure to SQL, Spark, and Generative AI (GenAI) prompting is a plus
Passion for data, analytics, machine learning, and solving real-world business problems
Preferred
Graduate student (final year preferred) pursuing a degree in Mathematics, Statistics, Actuarial Science, Data Science, or a related quantitative discipline
Benefits
Hands-on experience developing and deploying Artificial Intelligence and Machine Learning solutions
Exposure to modern cloud-based technologies including AWS, Python, SQL, Spark, and MLOps frameworks
Work alongside experienced analytics professionals
Develop skills that can help shape your future career path