The Hartford

Data Scientist

The Hartford

full-time

Posted on:

Location Type: Hybrid

Location: HartfordConnecticutIllinoisUnited States

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Salary

💰 $90,160 - $135,240 per year

About the role

  • Create statistical models, algorithms, and machine learning techniques to achieve financial objectives and solve business problems
  • Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations
  • Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage
  • 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
  • Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise
  • Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function
  • Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions

Requirements

  • 2+ years of relevant experience recommended
  • Preference for Master’s or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation
  • Experience in statistical modeling, inference, and building machine learning algorithms in Python
  • Experience in SQL and navigating databases to extract relevant attributes
  • Experience in Unix and Git
  • Experience in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation
  • Exposure to building modeling solutions in cloud-native environments, such as Sagemaker or Vertex AI, a plus
  • Understanding of prompt engineering, retrieval-augmented generation (RAG), agent workflow, and LLM evaluation is a plus
  • 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.
Benefits
  • Other rewards may include short-term or annual bonuses
  • long-term incentives
  • on-the-spot recognition

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
statistical modelingmachine learningPythonSQLUnixGitend-to-end modeling lifecyclecloud-native environmentsSagemakerVertex AI
Soft skills
collaborationcommunicationproblem-solvinganalytical thinking
Certifications
Master’s degreePh.D.professional designation