About the role#
This is a 10-week internship focused on AI and advanced analytics projects for the US market. You will join an agile team of data scientists, actuaries, and machine learning engineers to solve business problems in mortality risk quantification, insurance pricing, and ML fairness. You will use tools including Python, Jupyter, and git to complete your work.
What you'll do#
- Assist with training, interpreting, and conducting experiments with machine learning models.
- Write ML pipelines while applying SOLID design principles to develop analytics software.
- Help the team understand the financial impact of machine learning models.
- Research and present a final project to the Americas Data Analytics staff.
- Communicate project outcomes using MS PowerPoint.
What you'll need#
- Enrollment in a bachelor’s or master’s degree program, preferably in a quantitative field like Computer Science, Engineering, or Mathematics.
- Ability to write working Python code.
- Completed coursework in probability, statistics, or machine learning.
- Authorization to work in the U.S. without employer sponsorship.
Location & details#
- Location: Charlotte, North Carolina.
- Work Modality: Hybrid, with 3 days per week in the office and 2 days per week remote.
- Compensation: $22.00 to $24.00 per hour.
- Employment Status: Full-time, paid internship.
- Relocation: Assistance is available for moves within the U.S.
About SCOR
SCOR is a global reinsurer that provides risk management solutions to over 5,000 clients. The company operates in the insurance sector with a focus on Life and Health, Property and Casualty, and Investments. Based in Paris, the organization maintains more than 35 offices worldwide. Its staff includes actuaries, underwriters, and data experts who analyze risk and develop financial models.
How to get in at SCOR
Applying to SCOR early gives you a distinct advantage because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and get seen before the pile grows. Reaching out to the right person is often more effective than submitting a cold application. Intern Insider surfaces the recruiters behind the company roles so you can contact them directly to ask about the position or request a referral, which materially improves your response rates.
