Data Scientist

Munich Reinsurance America, Inc; Hartford (CT); On-site; USD 95,000 - 135,000; Full time

Job summary

Hartford Steam Boiler, a subsidiary of Munich Re, is seeking a data scientist to support modeling efforts and independently drive small data science projects. You will collaborate with data engineering to deploy models at scale on Linux-based platforms.

The role emphasizes hands-on Python/R/SQL/Scala, NLP, and cloud exposure, with opportunities to apply generative AI and deep learning frameworks in insurance analytics.

Qualifications

• Bachelor's degree in Statistics, Computer Science, Engineering, Mathematics or related field required.
• Master's degree preferred.
• 2+ years' experience in predictive analytics, data mining or statistical analysis in insurance or 4+ years in other industry.
• Experience with Git or similar version control.
• Experience developing or applying generative AI models is a plus.
• Experience with NLP techniques and prompt engineering is a plus.
• Experience with big-data tech on Linux is a plus.
• Experience with TensorFlow, Keras, PyTorch is a plus.
• Experience with Stan or PyMC3 is a plus.
• Hands-on experience in Python, R, SQL, Scala.
• Exposure to cloud computing (Azure, AWS).
• Solid foundation in statistics and ML models; able to evaluate algorithms.
• Ability to write production-ready code.

Responsibilities

• Work under guidance of senior data science staff on modeling projects.
• Contribute to small-scale or ad hoc data science projects independently.
• Collaborate with data engineering and infrastructure teams to deploy models and data products at scale.

Skills

Python

R

SQL

Scala

Cloud

NLP

Production code

Big-data on Linux

Git/version control

Deep learning frameworks

Bayesian tools (Stan/PyMC3)

Education

Bachelor's degree in Statistics/CS/Engineering/Math

Master's degree preferred

Tools

TensorFlow/ PyTorch/ Keras

Job description

In this position, you will work under the guidance of more senior data science staff on modeling projects but is expected to ensure the appropriate modeling and analytic methodologies are applied within the scope of a given project.

In addition, you will work on small scale or ad hoc data science projects independently.

Work closely with data engineering and infrastructure teams to deploy models and data products at scale.

Education and Experience:

• Bachelor's degree in Statistic, Computer Science, Engineering, Mathematics or related field is required
• Master's degree in a qualitative field is preferred
• 2+ years' experience predictive analytics, data mining or statistical analysis in the insurance industry or 4+ years predictive analytics, data mining or statistical analysis in other industry
• Experience with Git or similar tool for version control
• Experience developing or applying generative AI models (such as large language models or generative adversarial networks) to solve business problems is a plus
• Proficiency with natural language processing (NLP) techniques and tools for extracting insights from unstructured data, including experience with prompt engineering or deploying AI-powered chatbots and virtual assistants is a plus
• Experience working with big-data technology on Linux-based systems is a plus
• Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.) is a plus
• Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus

Knowledge and Skills:

• Hands-on experience in Python, R, SQL, Scala
• Exposure to cloud computing (Azure, AWS, etc.)
• Solid foundation in statistics and machine learning models, processes, and theories, with the ability to evaluate different algorithmic approaches
• Ability to write production‑ready code

At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.

We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.