Job Posting End Date: April 07

Unum is a company of people serving people. As one of the world's leading employee benefits providers and a Fortune 500 company, Unum's financial protection benefits help protect more than 36 million working people and their families from the financial impact of illness or injury.

Unum's two distinct, but similarly focused US businesses - Unum US and Colonial Life - are each a market leader in making disability, life, accident, critical illness, dental, and vision insurance accessible in the workplace.

Headquartered in Chattanooga, Tennessee, Unum also has significant US operations in Portland, Maine and Baton Rouge, Louisiana - and over 35 field offices nationwide. Colonial Life is headquartered in Columbia, South Carolina with over 40 field offices nationwide.

General Summary:
General Summary
This is an exciting opportunity with Unum's Finance Analytics Team! Due to a broadening range of projects in their portfolio the team is expanding and looking for a Data Scientist to support this stimulating new work. This team supports and leads products across Finance and Unum's operational areas, and as a result the range of work is vast, innovative and interesting.

This position for a developing data scientist who is excited to transform data into actionable insights and impact the business through his/her work. The role requires increasing technical expertise in the fields of computer programming, applied statistics and data manipulation; and relies on developing business knowledge. The individual will participate in project work primarily within the functional area, with direction and review by manager. The individual is expected to continuously increase business knowledge and take initiative in identifying and executing analytical approaches to support assigned projects.

Job Specifications

• Bachelor's degree in quantitative field is preferred
• 2 years preferred of professional experience or equivalent relevant work experience
• Core Data Science Capabilities: Deep expertise in at least one of the following skillsets preferred, with basic capability in the others:

• Programming & Process automation: Experience using APIs, file I/O, database, and analysis libraries. Understanding of programming in jupyter notebooks and/ or statistical packages. Understanding of process mapping and demonstrated application of scripting languages to automate processes. Exposure to data mining and web scraping.
• Data Visualization: Working knowledge of two or more data visualization tools and proficiency in static data visualization. Basic understanding of dynamic data visualization
• Statistics & Statistical modeling: Solid understanding of statistical inference and regression. Basic understanding of machine learning techniques including random forests and neural nets. Basic understanding of feature selection and extraction which may include analysis of categorical data, multiple comparisons, Central Limit Theorem, bootstrapping, and permutation tests

• Data Extraction, Transformation, and Loading (ETL) skillsets preferred: Expertise in writing complex SQL queries that join multiple tables/databases. Given a business problem, independently explore databases/tables to identify best data sources. Demonstrates ability to troubleshoot complex SQL queries written by others with little guidance.

• Core business capabilities: basic communication skills, exposure to financial services industry, and attention to detail and ability to prioritize while working on multiple projects keeping track of due dates
• Leadership Capabilities: Ability to coach or mentor team members, respond quickly and positively to change, adheres to technical best practices by collaborating with team members to deliver high quality output
• Preferred characteristics: Entrepreneurial self-starter. A thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity. Basic understanding of their organization.

Principal Duties and Responsibilities

• Design and execute analytical solutions using statistical, optimization, simulation and data mining methods with a focus on delivering actionable insights and partnership to deliver business value.
• Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets and perform analyses
• Apply validation, aggregation and reconciliation techniques to create rich modeling-ready data framework.
• Construct predictive models using machine learning 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 manager.
• Support integration of solutions within existing business processes using automation techniques.
• Understand theory and application of current and emerging statistical methods and tools.
• Perform other related duties as assigned

Our company is built on helping individuals and families, and this starts with our employees. We want employees to maintain a positive balance, which is why we provide access to the benefits and resources they need to invest in themselves. From our onsite fitness facilities and generous paid time off to employee professional development programs, we are committed to helping employees live and work their best - both inside and outside the office.

Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.

Company:
Unum