SCOR is looking to solve business problems arising in mortality risk quantification, insurance pricing, explainable/interpretable machine learning, and ML fairness.
Requirements
- Python – should be able to write working python code
- Probability, statistics, and/or machine learning related coursework
- Hands-on experience with data tools and projects
Responsibilities
- Assist data scientists in training/interpreting ML models, and conducting experiments
- Assist data scientists in writing ML pipelines, while applying SOLID design principles to develop analytics software
- Assist data scientists in understanding financial impact of machine learning models
- Research and present a final project to Americas Data Analytics staff
- using tools such as python, jupyter, git, and communicating outcomes using MS PowerPoint.
Other
- Participate in an intensive 11-week data science internship and learn how data science is practiced in the industry
- Work as part of an agile team of data scientists, actuaries, and machine learning engineers
- Pursuing Masters or Bachelor’s degree, preferably in a quantitative field (CS, Engineering, Math, Data Science, etc.)
- Strong academic performance and analytical thinking
- Effective communication and collaboration skills
- Candidates must have valid authorization to work in the U.S. without the need for employer sponsorship now or in the future.
