Senior Data Scientist
Hartford, United States
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- Master’s degree in a Statistics, Computer Science, Engineering, Mathematics or related field is required
- 4+ years’ experience predictive analytics, data mining or statistical analysis in the insurance industry or 6+ years predictive analytics, data mining or statistical analysis in other industry
- Hands-on experience in Python, R, SQL, Scala
- Experience in feature engineering on structured and unstructured data
- Ability to write production-ready code
- Experience with Git or similar tool for version control
Preferred experience
- Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus
Qualification wording
Master’s degree in a Statistics, Computer Science, Engineering, Mathematics or related field is required
4+ years’ experience predictive analytics, data mining or statistical analysis in the insurance industry or 6+ years predictive analytics, data mining or statistical analysis in other industry
Hands-on experience in Python, R, SQL, Scala
Experience in feature engineering on structured and unstructured data
Ability to write production-ready code
Experience with Git or similar tool for version control
Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus
Tools in this posting
- Python
- R
- SQL
- AWS
- Azure
- Keras
- PyTorch
- TensorFlow
- Scala
Source — Tool mentions in context
Knowledge and Skills: - Hands-on experience in Python, R, SQL, Scala - Exposure to cloud computing (Azure, AWS, etc.)
- 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
- Experience working with big-data technology on Linux-based systems. - Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.) - Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus
Job description
In this position, you will work independently on data science projects of any scale and you will be empowered to make methodological decisions within the scope of a given project.
Act as a mentor to more junior data scientists and is empowered to assign them specific project tasks with clear scope.
Work on a portfolio of projects simultaneously and are expected to adequately manage their own time to meet client expectations.
Regularly interface with other divisions and groups within HSB and have a thorough understanding of their business strategies and goals.
Education and Experience:
- Master’s degree in a Statistics, Computer Science, Engineering, Mathematics or related field is required
- PhD in qualitative discipline is preferred
- 4+ years’ experience predictive analytics, data mining or statistical analysis in the insurance industry or 6+ years predictive analytics, data mining or statistical analysis in other industry
- Experience in feature engineering on structured and unstructured data
- Experience with Git or similar tool for version control
- Experience working with big-data technology on Linux-based systems.
- Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.)
- 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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on careers.munichre.com. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hartford, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Aug 1, 2026
- Recorded sightings
- 25
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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