Associate Data Scientist

Munich Reinsurance America, Inc; Hartford (CT); On-site; USD 60,000 - 95,000; Full time

Job summary

Join a forward-thinking company as an Associate Data Scientist in Hartford, CT, where you will collaborate with experienced professionals on innovative modeling tasks. This role offers a unique opportunity to work closely with data engineering teams, deploying impactful models and data products. Ideal candidates will have a solid foundation in statistics and machine learning, along with hands-on experience in programming languages such as Python and R. If you're passionate about leveraging data to drive business solutions and eager to grow in a supportive environment, this position is perfect for you.

Qualifications

• 1+ year of experience in data science or related field.
• Experience with big-data technology on Linux-based systems is a plus.
• Hands-on experience with machine learning models and frameworks.

Responsibilities

• Assist senior data scientists with modeling tasks and data preparation.
• Collaborate with data engineering teams to deploy models at scale.
• Support the development of AI-powered solutions for business problems.

Skills

Python

R

SQL

Scala

Statistics

Machine Learning

Natural Language Processing

Generative AI

Education

Bachelor's degree in Statistics, Computer Science, Engineering, Mathematics

Master's degree in a quantitative field

Tools

Git

TensorFlow

Keras

PyTorch

Azure

AWS

Job description

Associate Data Scientist - Hartford, CT

Company



HSB




Location



Hartford
, United States

In this position you will be assigned specific, well-scoped modeling tasks and typically do not work projects alone. Support more senior data scientists preparing data for modeling or performing small-scale modeling tasks under supervision. Work closely with data engineering and infrastructure teams to deploy models and data products at scale.

Education & Experience:

• Bachelor's degree in Statistics, Computer Science, Engineering, Mathematics or related field is required
• Master's degree in a quantitative field is preferred
• At least 1-year of experience
• 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
• Experience 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 & Skills:

Preferred:

• 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

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.

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