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
- 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.
As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.
Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies.
As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.
SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.
Skills Required
- Currently pursuing a bachelor's or master's degree
- Ability to write working Python code
- Coursework in probability, statistics, and/or machine learning
- Quantitative field such as computer science, engineering, or mathematics
- Valid authorization to work in the United States without current or future employer sponsorship
What We Do
SCOR, one of the world’s largest reinsurers, serves more than 5,000 clients worldwide, providing a diversified and innovative range of solutions to control and manage risk. SCOR delivers advanced financial solutions, analytics and services across all dimensions of risk in Life & Health, Property & Casualty, and Investments. Reinsurance lies at the intersection of technical expertise and scientific progress. Models, data, and pricing and reserving tools are essential, yet they are never sufficient on their own. Sound risk decisions require expert judgment, experience and perspective. This is what we call the Art and Science of Risk. Reinsurance is a knowledge industry, where expertise grows through accumulation, transmission and practice. Across the Group, 3,600 experts based in more than 35 offices worldwide contribute to this collective intelligence. Actuaries, underwriters, risk management specialists, and Tech & Data experts transform data into insight, explore extreme scenarios, define the boundaries of insurability and help anticipate emerging risks. Together, they strengthen the resilience of SCOR, our clients and the societies we serve. This expertise is built through shared experience,continuous questioning and collective reflection. Like artists, we belong to schools of thought, learning first to observe, then to replicate, and ultimately to innovate. This ongoing transmission of knowledge enables SCOR to develop a distinctive approach, combining rigor, creativity and long-term vision in the service of risk mastery. This shared commitment underpins SCOR’s role as a global reinsurer. By turning risk into resilience and sustainable value, our collective of experts acts with responsibility and purpose. Together, we help protect the future, and shape it, for our clients, for society and for generations to come.
