You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.

The Hartford seeks energetic and passionate data science talent to build and create best in class data science teams. Our Data science team has developed industry-leading capabilities, driving streamlined processes and smarter decision making. We support a variety of functions including Actuarial, Product, Underwriting and Sales. Join our team as a Data Scientist to improve our view of segmentation through research of new features and techniques. The areas of our work ranges across a wide range of business use cases including but not limited to underwriting, claims, operations, risk engineering, third party data and digital analytics. Our team’s focus is to develop analytic and predictive modeling solutions and partner with our data engineers to generate and enhance existing feature engineering as well as modeling assets and abilities.
 

Generalized linear models are a major technical component of this role, along with the use of other machine learning methodologies, including but not limited to gradient boosting, random forests, and neural networks. The ideal candidate will also be familiar with common data visualization techniques and will have the ability to communicate key data-related findings to business partners of varying technical backgrounds. 
 

Minimum Experience 

• Master’s in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, or similar analytical field or progress towards or attainment of a relevant professional designation (i.e. ACAS/FCAS, ASA/FSA, CFA, CSPA, etc.)   
• 5+ years of relevant experience in Research Function in Insurance or Financial Services or related field 
• Experience with database RDBMS technologies (i.e. Oracle, SQL Server, Teradata, etc.) 
• Subject matter expert in modeling data and analytical capabilities utilizing Python 
   

Preferred Skills: 

• Experience with big data technologies (i.e. Hadoop, Spark, Hive, EMR, etc.)  
• Passion for learning new skills and the ability to adjust priorities on multiple projects based on changing demands/needs 
• Verbal/written communication skills, with particular emphasis on communicating to non-technical audiences 
• Experience with Financial Lines insurance a plus 

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

Benefits

Our company’s success is due to our employees’ dedication and passion for their work. They are our greatest asset. That’s why we are committed to offering employees and their families a comprehensive benefits package and award-winning well-being programs. By helping our employees achieve their full potential, we unlock our own. Visit https://www.thehartford.com/careers/benefits for details.

Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age