Data Science Intern
SCOR•Charlotte, NC
•$22 - $24•Hybrid
About The Position
The Data Science Intern will work with a team of data scientists, data engineers, and actuaries. You will learn to apply analytical and software engineering skills to solve business problems arising in mortality risk quantification, insurance pricing, explainable/interpretable machine learning, and ML fairness. Other job function expectations include: using tools such as Python, Jupyter, git, and communicating outcomes using MS PowerPoint.
Requirements
- Pursuing masters or بلکه degree, preferably in a quantitative field (CS, Engineering, Math etc)
- Python – should be able to write working python code
- Probability, statistics, and/or machine learning related coursework
Responsibilities
- Participate in an intensive 10-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
- 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
Benefits
- Relocation assistance within the U.S. is available for this position.
- health insurance coverage
- life and disability insurance
- a retirement saving plan
- paid holidays
- paid time off
- annual bonuses
- short- and long term incentives
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Associate degree
