S
SCOR
ML Engineer

Data Science Intern

On-siteJuniorML Engineerposted 6d ago
Role summaryAI-generated

This 10-week internship at SCOR focuses on hands-on collaboration with data scientists and actuaries to develop interpretable ML models for mortality risk and insurance pricing, emphasizing both technical implementation and business impact. Interns will contribute to ML pipelines while learning industry best practices in software engineering and financial data science.

Skills required

About this role

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 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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