PL Actuarial-Lead Data Scientist
$114K-$179K (Glassdoor est.)
Monday, October 21, 2019

Our PL Data Science and Actuarial department is seeking a Lead Data Scientist to join our growing team in our Worcester, MA or Windsor, CT offices.

Position summary:

This position combines advanced and creative technical knowledge with sound business acumen and judgment, based on solid experience with a range of business decisions to maximize profit and growth in a highly competitive marketplace. Demonstrates advanced statistical analysis skill, data mining, actuarial and/or research techniques combined with an intermediate level of understanding of Machine Learning techniques and a broader awareness of the business, general enterprise analytics, and the research community, to function in a collaborative and consultative role. Leads discussions with executives and management regarding the interpretation of research and its business inferences. Research undertaken has a potentially sizable dollar impact on pricing, marketing, finance, and risk management. May direct multiple complex research projects simultaneously as well as aspects of large and complex initiatives. May mentor more junior staff and direct their efforts.

This is a Full-time, Exempt role.


Responsibilities/Essential Functions:

Data Management and Pre-Modeling:

• Develops best practices around extracting, analyzing, merging and constructing databases.

• Seeks new databases, including evaluation and acquisition of external data, software, and other tools in support of key strategic initiatives.

• Consults on management information aspects of technology initiatives.

• Identifies the appropriate data for analysis, anticipates integrity issues and other possible roadblocks, and understands potential future uses of data beyond the task at hand.

• Directs, performs and interprets appropriate exploratory analysis such as data mining, empirical data analysis, univariate analysis, partitioning analysis etc.


Modeling Design & Monitoring:

• Provides roadmap to design models using available data, tools and programming languages, supports the implementation in a real-world framework, and establishes monitoring processes to ensure optimal predictive performance over time.

• Shares new ideas on advanced analytical techniques and their application to the business.


Project Management:

• Provides and/or independently gathers requirements from appropriate business partners for project, including necessary data for analysis to be performed.

• Guides implementation of models in real-world framework.

• Develops and manages preliminary project plans, ensures optimal and effective execution on deliverables within agreed upon timeframes, monitors program milestones and critical dates to identify potential jeopardy of project schedules, identifies ways to remove obstacles, communicates progress and makes recommendations to address issues, and manages any effects on related projects.


Position Requirements:

• Requires Master's Degree in Physics or Computer Science plus 5 years of statistical predictive modeling experience, including insurance-specific predictive modeling; preferably a PhD, in Statistics/Applied Statistics, Applied Mathematics, or Economics, or a related field, plus 8+ years of experience.

• Solid understanding of database principles; experience in data manipulation and cleaning; experience in identification and resolution of data issues.

• Advanced Excel skills and demonstrated experience in programming languages such as SAS, SQL, VBA, R, Python etc. Should be proficient in at least two of the following languages: SAS, SQL, R and/or Python.

• Awareness of typical insurance data sources, both internal and external

EEO statement:

“The Hanover values diversity in the workplace and among our customers. The company provides equal opportunity for employment and promotion to all qualified employees and applicants on the basis of experience, training, education, and ability to do the available work without regard to race, religion, color, age, sex/gender, sexual orientation, national origin, gender identity, disability, marital status, veteran status, genetic information, ancestry or any other status protected by law.

Furthermore, The Hanover Insurance Group is committed to providing an equal opportunity workplace that is free of discrimination and harassment based on national origin, race, color, religion, gender, ancestry, age, sexual orientation, gender identity, disability, marital status, veteran status, genetic information or any other status protected by law.”

As an equal opportunity employer, Hanover does not discriminate against qualified individuals with disabilities. If you require a reasonable accommodation, as a candidate for employment, please inform The Hanover Talent Acquisition office.

Privacy Policy:

To view our privacy policy and online privacy statement, click here.

Applicants who are California residents: To see the types of information we may collect from applicants and employees and how we use it, please click here.

Other details
Job Function
Actuarial
Pay Type
Salary
Required Education
Master’s Degree
The Hanover Insurance Group
3.7
The Hanover Insurance Group
