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Virtual Aws Machine Learning Jobs in Springfield, MA

Munich Re

Data Scientist

Hartford, CT · On-site

... and virtual assistants is a plus * Experience working with big-data technology on Linux-based ... computing (Azure, AWS, etc.) * Solid foundation in statistics and machine learning models ...

Pwc

CTIO AI Engineering Manager

Hartford, CT

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... like AWS, GCP, Azure - Contributing to open-source projects or AI/ML publication Travel ...

Cigna

Data Science Advisor - Hybrid

Bloomfield, CT · On-site +1

Develop and deploy predictive models, machine learning solutions, and AI capabilities to drive ... Exposure to big data technologies such as Apache Spark and cloud platforms (e.g., AWS). * Knowledge ...

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Data Scientist

Munich Re

Hartford, CT • On-site

Other

Posted 21 days ago

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.

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