Data Science Intern

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.

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

QUALIFICATIONS

• Pursuing masters or bachelor’s 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

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.

Relocation assistance within the U.S. is available for this position. Candidates must have valid authorization to work in the U.S. without the need for employer sponsorship now or in the future.

Hybrid Work Policy

SCOR is committed to an “in-office” culture where people can collaborate, exchange ideas, and establish stronger working relationships while ll providing flexibility. To support employee work-life balance and increase opportunities for employees to excel every day, SCOR opera