Assistant Data Science Engineer

RGA

Base: $78,080.00 - $110,860.00 annual; bonus/equit...
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Python for predictive modeling
R for predictive modeling
Statistical and machine learning models
** RGA is seeking an Assistant Data Science Engineer to support the implementation and deployment of predictive modeling solutions for both internal and external clients. The ideal candidate should have experience in statistical and machine learning modeling, as well as proficiency in programming languages such as R and Python. RGA offers a collaborative and innovative work environment along with competitive compensation and benefits. **

Job Summary

  • Support the senior data scientist engineers to implement and deploy predictive modeling solutions and commercial applications for both RGA internal and external clients across the globe.
  • Assist in the preparation of data science models for access by external clients, including restructuring code and developing API interfaces.
  • Develop and enhance statistical and machine learning models for applications in the insurance industry, including mortality, morbidity, and fraud.

Matching Summary

Match Score: 75

** RGA is seeking an Assistant Data Science Engineer to support the implementation and deployment of predictive modeling solutions for both internal and external clients. The ideal candidate should have experience in statistical and machine learning modeling, as well as proficiency in programming languages such as R and Python. RGA offers a collaborative and innovative work environment along with competitive compensation and benefits. **

Salary

Base: $78,080.00 - $110,860.00 Annual; Bonus/Equity: annual bonus plan; Benefits: full range of health, retirement, and other employee benefits

Skills & Requirements

Must-have

  • Python for predictive modeling
  • R for predictive modeling
  • statistical and machine learning models
  • data understanding, manipulating, and cleaning
  • API and web access development
  • SQL, JavaScript, XML, JSON, HTML

Nice-to-have

  • collaboration and communication skills
  • adapt to new methods and deadlines
  • investigative, analytical, and problem-solving skills
  • knowledge of actuarial concepts
  • knowledge of insurance risk analysis

Key Requirements

  • Master’s degree in Statistics, Computer Science, or related field
  • 1+ years of software development experience
  • 1+ years experience with statistical and machine learning modeling
  • 1+ years of experience with statistical modeling or insurance industry

Work Rights

Not specified

Tailored Resume

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