Data Scientist

The Hartford

Data Scientist leveraging statistical modeling and machine learning techniques at The Hartford. Collaborating with cross-functional teams to provide analytical insights for business processes.

Posted 5/20/2026full-timeConnecticut, Illinois, North Carolina • 🇺🇸 United StatesJuniorMid-Level💰 $90,160 - $135,240 per yearWebsite

Tech Stack

Tools & technologies

PythonSQLUnix

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

statistical modelingmachine learningPythonRSQLUnixGitShinyR Markdownend-to-end modeling lifecycle

Soft Skills

communicationindependenceteam playerownershipresults drivencommitment to deadlinescreativitycollaborationadaptabilityproblem-solving

Certifications

Master’s in StatisticsMaster’s in Applied MathematicsMaster’s in Data ScienceMaster’s in Computer ScienceMaster’s in Actuarial ScienceFCASFSACSPA