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The Hartford · 1 day ago

Data Scientist

Hartford, CT

Full-time

Hybrid

Entry, Mid Level

$90K/yr - $135K/yr

2+ years exp

The Hartford is an insurance company committed to making a difference and helping others achieve their goals. They are seeking a Data Scientist to develop machine learning and artificial intelligence solutions to enhance operational efficiency and customer experience within their Customer Operations Data Science Team.

Auto InsuranceCommercial InsuranceEmployee BenefitsFinanceFinancial ServicesInsuranceLife InsuranceProperty Insurance

No H1B

Responsibilities

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

Qualification

Machine LearningStatistical ModelingPythonSQLUnixGitCloud-native SolutionsAgile MethodologiesCollaborationProblem Solving

Required

2+ years of relevant experience recommended

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

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

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

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