Assistant Director, Data Scientist (STP)
About The Position
Collaborates with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making. Utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions. Reflects solid knowledge of predictive analytics techniques, while continuing to learn how to apply techniques to business issues. Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions. Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business applications. Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes. Customizes analytic solutions to specific client needs. Responsible for smaller components of projects of moderate-to-high complexity. Regularly engages with the data science community and participates in cross-functional working groups. Telecommuting permitted up to 100%.
Requirements
- Employer will accept a Master's degree (or foreign equivalent) in Actuarial Science or related field and four years of experience in the job offered or in a related occupation.
- SAS, SQL, VBA, Excel and Python/R.
- Demonstrated knowledge of underwriting and ratemaking.
- Developing multivariate pricing and underwriting models that target profitable segments, using generalized linear models (GLM's).
- Demonstrated familiarity with premium dislocation analysis by segment, and calibrating rates for new pricing models.
- Monitoring pricing model performance.
- Demonstrated familiarity with competitor analysis and creating actuarial support.
- Automating dataflows in Python or VBA.
- Telecommuting permitted up to 100%.
Responsibilities
- Develop predictive analytic solutions that enable data-driven strategic decision-making.
- Utilize data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions.
- Apply knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions.
- Identify and test hypotheses, ensuring statistical significance, as part of building and developing predictive models for business applications.
- Translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
- Enable the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes.
- Customize analytic solutions to specific client needs.
- Responsible for smaller components of projects of moderate-to-high complexity.
- Regularly engage with the data science community and participates in cross-functional working groups.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Director
Industry
Insurance Carriers and Related Activities
Number of Employees
5,001-10,000 employees
