Data Scientist

The Hartford•Hartford, CT

6d•$90,160 - $135,240•Hybrid

About The Position

The Hartford seeks a Data Scientist within a multidisciplinary actuarial/data science team responsible for designing and delivering powerful analytical insights utilizing statistical modeling, machine learning, and data engineering techniques to enhance and overhaul core actuarial processes. Our team is a cross-functional team of data scientists, data engineers, and actuaries working in a highly collaborative environment which involves heavy interaction with partner-customers across actuarial, product, and data science. We seek candidates with a strong foundation in statistical modeling and/or machine learning who have a drive for finding novel and efficient solutions to maximize business value. As a data scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve loss modeling solutions. Our team culture prioritizes flexibility and innovation, so an aptitude and desire to research state-of-the-industry solutions is a must, along with an aptitude to learn new tools and languages as necessary. This role will involve communicating model results to varying business partners so strong communication and presentation skills are required. This role can have a Hybrid or Remote work arrangement depending on experience and skillset. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office and have appropriate experience may be eligible for a remote work arrangement, with the expectation of coming into an office as business needs arise.

Requirements

2+ years of relevant experience recommended
Preference for at least one of: 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)
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

Responsibilities

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