MAPFRE is looking to drive insights and innovation by applying Artificial Intelligence techniques to aid in the decision-making process of business areas.
Requirements
- Proficiency in Machine Learning
- Proficiency in Python
- Proficiency in Spark/pyspark
- Proficiency in MLOps: AWS, Cloud9, Jenkins, Airflow, Git
Responsibilities
- Apply knowledge to determine solutions to very complex problems with minimal direction, and use research and analysis to develop innovative and practical complex model solutions
- Conduct research around the design, implementation and validation of innovative algorithms in order to analyze diverse data sources
- Work with sparse, high dimensional, and time series data to design & develop analytic solutions for multiple business areas
- Perform model validation to determine model lift and accuracy, test for reliability and stability of models
- Design and create complex processes and tools to monitor, analyze and maintain model performance
- Develop and automate reports and dashboards to communicate project results effectively
- Propose improvements to the business areas and account for long term ownership of models developed
Other
- Bachelor's Degree with 8 years’ experience OR Master's Degree with 6 years relevant experience
- Degree in Computer Science, Statistics, Mathematics, Engineering or a related quantitative analytical field
- Insurance Industry experience is a plus
- Provide guidance and training to less experienced staff as needed
- Provide expertise around adopting best in class processes and techniques for AA modeling and statistical analysis
- Communicate project results effectively within and outside AA
- Present model results and lift/efficacy analyses to senior stakeholders
