Associate Data Scientist
Essential Function:
The Companies Planning Analytics and Risk Management department has an open position of Associate Data Scientist – Innovation. This position will be based in our corporate headquarters in Fairfield, Ohio, reporting to the Director of Innovation and Research.
This newly formed innovation analytics team supports our strategic innovation across the company, covering commercial and personal line P&C insurance, reinsurance, and life insurance. The work may impact any stage of the insurance life cycle, ranging from agency relationship, marketing and risk selection, pricing, underwriting, loss control and risk mitigation, service and operation, retention, claims, and fraud. The team’s goal is to bring new data, analytics, and technology into the corporation to improve the efficiency and effectiveness of the overall business. The team will also support the analytics need for any new insurance and reinsurance product.
Duties and Responsibilities:
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Work very closely with various business teams depending on the fast-changing needs
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Learn the business and pain points from the domain experts
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Utilize analytics thinking and skills to identify possible solutions
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Develop prototypes together with business and IT that can make an impact to the business
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Massage and understand the data
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Design and build machine learning models
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Evaluate the model performance and develop practical cost benefit analysis
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Analyze operational process and build RPA tools (or search for available tools)
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Perform ad hoc data analyses and reporting
Qualifications:
To succeed in this role, we expect you to be/have:
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Passion in numbers and quantitative analysis
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Knowledge and experience in deep learning (image segmentation and NLP experience preferred)
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Good coding skills
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Strong problem-solving skills and a forward-looking mindset
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Good people skills and excellent communication skills
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Knowledge in the insurance industry a big plus
Education:
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Graduate level degree in a quantitative field such as math, physics, computer science, or economics; PhD preferred