Data Scientist

Munich Re Careers • Hartford, CT

22d

About The Position

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.

Requirements

• Bachelor’s degree in Statistic, Computer Science, Engineering, Mathematics or related field is required
• 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
• 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

Nice To Haves

• Master’s degree in a qualitative field is preferred
• 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

Responsibilities

• Work under the guidance of more senior data science staff on modeling projects.
• Ensure the appropriate modeling and analytic methodologies are applied within the scope of a given project.
• 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.

Benefits

• Diversity and Inclusion as a solution to the challenges and opportunities all around us.
• Inclusive culture and a workforce that reflects the customers we serve and the communities in which we live and work.
• A workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day.
• Recruit and develop talent with a focus on providing our customers the most innovative products and services.
• Equal opportunity employer.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level