
Actuarial Data Scientist
You’ll play a key role in Pacific Life’s growth and long-term success by providing model driven insights to business partners such as Actuarial sciences, Compliance, Operations, IT, Sales and Marketing in a Do/Partner/Support model. If you’re experienced in Data Science and have managed projects with business partners to deliver insights through rapid hypothesis testing, you’re a great fit for this role. He or she will work independently to identify data sources internally as well as externally for the solutioning process. This will also include being able to clean and blend data as needed for analysis further downstream in the predictive and prescriptive analytics stack. This individual will also perform complex analytical modeling using pre-built machine learning algorithms, as well as building custom algorithms. The end goal is to create actionable insights that will be implemented in the market to drive quantifiable market value.
8+ years of experience, including 5+ years in statistical modelling and analysis
Experience working directly with business partners to provide solutions to complex problems
Ability to work within an “Agile” methodology mindset – to be both fast paced and process-oriented.
Experience in Life Insurance and Retirement industry with an actuarial bent
Sql
Python
statistical analysis
R
Alteryx
Power BI
Time Management Skills
Tableau Prep
Forecasting and Predictive analytics
Quantitative analytics
H2O driverless AI
Verbal communication
Prioritizing skills
written communication
Problem Solving Skills
Detail Oriented and Organized
Multi-tasking
According to JobzMall, the average salary range for a Actuarial Data Scientist in 700 Newport Center Dr, Newport Beach, CA 92660, USA is $105,788 to $136,895 per year.
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Pacific Life Insurance Company is an American insurance company providing life insurance products, annuities, and mutual funds, and offers a variety of investment products and services to individuals, businesses, and pension plans.

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