Data Science Intern

SCOR•Charlotte, NC

1d•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 בתואר ראשון 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
Candidates must have valid authorization to work in the U.S. without the need for employer sponsorship now or in the future.

Nice To Haves

You may not meet every requirement listed in the job description. If you bring broad expertise and alignment to the role and resonate with our core values, we encourage you to apply.

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