Actuarial Data Scientist II job in Portland
Portland, Maine - ME Unum Group
Job Ref: | 827620 |
Employer: | Unum Group |
Sector: |
Life Insurance
Health Insurance Professional/Financial Services |
Qualifications: | Unclassified |
Software: | SQL |
Job Type: | Full Time |
Salary and Benefits: | $73,300 - $143,300 per year |
Remote: | No |
Location | |
Country: | United States |
State/Province/County: | Maine - ME |
City: | Portland |
Post Code: | Not specified |
Map: | |
Description | |
When you join the team at Unum, you become part of an organization committed to helping you thrive. Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:
*All the benefits listed above are subject to the terms of their individual Plans. And that's just the beginning... With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today! General Summary: General Summary This position for an experienced data scientist who is excited to transform data into actionable insights and impactful solutions which drive business results. The role requires significant technical expertise in the fields of computer programming, applied statistics and data manipulation; and relies on increasing business knowledge. While some review by a manager is expected, this individual will take initiative in identifying and executing data science approaches to support business priorities. Principal Duties and Responsibilities • Design and execute analytical solutions using optimization, simulation, data mining and other statistical methods with a focus on delivering actionable business value. • Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets for ad-hoc analyses and larger studies. • Apply validation, aggregation, and reconciliation techniques to create rich modeling-ready data framework. • Construct and tune predictive models to explain and understand observed events, forecast expected behavior, or identify risk through scoring or clustering. • Efficiently interpret results and communicate findings and potential value to influence manager and leadership decision making. • Support integration of solutions within existing business processes using automation techniques. • Understand theory and application of current and emerging statistical methods and tools. • Provides support, training and/or mentorship to lower level Data Science peers. • Perform other related duties as assigned Job Specifications
Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide. The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience. $73,300.00-$143,300.00 Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans. Company: Unum |
ref: (827620) 6 days ago
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