The Hartford is an industry leading provider of property and casualty insurance, group benefits and mutual funds. They are seeking a Data Scientist to join their multidisciplinary actuarial/data science team, responsible for designing and delivering analytical insights using statistical modeling and machine learning. The role involves collaborating with cross-functional teams and communicating model results to business partners.
Create statistical models, algorithms, and machine learning techniques to enhance traditional actuarial processes and assumptions
Think creatively to envision how we can enhance long-standing actuarial methodology using statistical modeling and machine learning techniques
Use R and/or Python to build, maintain, and support loss models across different lines of business
Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations and effectively translate results to business initiatives
Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources
Participate in the creation and deployment of long-term tools to continually evolve the business
Contribute to the successful implementation of strategies to achieve targeted business objectives
Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function
Qualification
Required
2+ years of relevant experience recommended
Bachelor's in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a similar analytical field
Experience in statistical modeling, inference, and building machine learning algorithms in Python and/or R
Experience in SQL and navigating databases to extract relevant attributes
Experience in Unix, Git, Shiny and R Markdown is a plus
Experience in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation
Able to communicate effectively with both technical and non-technical audiences
High level of independence, but is also a team player that demonstrates a high level of ownership
Results driven with commitment to meeting deadlines
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Preferred
Master’s in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a similar analytical field
Progress towards relevant professional credentials (e.g. FCAS, FSA, CSPA)
Benefits
Short-term or annual bonuses
Long-term incentives
On-the-spot recognition
The Hartford is an industry leading provider of property and casualty insurance, group benefits and mutual funds.
