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Salary
$44k – $48k per year
Location
Hybrid (Charlotte, United States)
Seniority
Intern
Visa
No sponsorship (stated in the posting)
Employment
Internship

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Sep 10, 2026. SCOR scores A on the Alion truth index.

Overview
Company
Impact
Profile match
SCOR is a French global reinsurance group headquartered in Paris that provides property and casualty and life and health reinsurance, specialty insurance and investment solutions to insurers and corporate clients. Created in 1970 with the backing of the French government as Societe Commerciale de Reassurance, it is a listed Societas Europaea with offices across Europe, the Americas and Asia, including a large service centre in Bucharest. It hires actuarial, underwriting, legal, finance, data and IT staff such as data engineers, QA engineers and AI engineers, and runs graduate programmes and internships in actuarial work, sustainable finance and audit.

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.

  • 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
  • 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 operates with a hybrid working arrangement. SCOR employees work 3 days per week in an office with the flexibility to work 2 days per week remotely.

Pay Range for roles performed in Charlotte: $22.00-$24.00 hourly rate. Actual salaries may vary based on various factors including

but not limited to location, experience, role and performance. The range listed is just one component of SCOR's total compensation package for employees. Other rewards may include annual bonuses, short- and long term incentives. In addition, we provide a variety of benefits to employees, including health insurance

coverage, life and disability insurance, a retirement saving plan, paid holidays and paid time off.

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