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Mining Data Analytics Jobs in Connecticut (NOW HIRING)

Munich Re

Data Scientist

Hartford, CT · On-site

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 ...

Munich Re

Data Scientist

Hartford, CT · On-site

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 ...

Synchrony

VP, Insights & Data Governance

Stamford, CT · On-site

Provide thought leadership in the areas of strategy and data analytics to the team through utilization of data lake, machine learning, data mining and operational expertise * Strong background in ...

Munich Re

Senior Data Scientist

Hartford, CT · On-site

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 ...

Munich Re

Senior Data Scientist

Hartford, CT · On-site

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 ...

Synchrony Financial

VP, Amazon Analytics

Stamford, CT · On-site

Lead end-to-end analytics delivery: problem definition, data sourcing/mining, analysis, insight synthesis, and executive-ready recommendations. * Partner with Marketing, Finance, and Client teams to ...

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

Translate quantitative analysis into actionable strategies, pitch high-impact ideas, and influence ... Large Language Models/Generative AI, conversational AI/chatbot development, NLP/text mining, search ...

Gartner

Director, Data Science

Stamford, CT · Remote

Translate quantitative analysis into actionable strategies, pitch high-impact ideas, and influence ... Large Language Models/Generative AI, conversational AI/chatbot development, NLP/text mining, search ...

Gartner

Sr Data Scientist

Stamford, CT · On-site

Leverage internal and external data to understand Analysts' priorities and deliver targeted support ... Natural Language Processing and text mining * Search and Recommendation systems * LLM fine-tuning ...

Gartner, Inc.

Sr Data Scientist

Stamford, CT · On-site

Leverage internal and external data to understand Analysts' priorities and deliver targeted support ... Natural Language Processing and text mining * Search and Recommendation systems * LLM fine-tuning ...

Pfizer

Senior ML/AI Cheminformatics Scientist

Groton, CT · On-site

$93K - $156K/yr

Develop and apply cheminformatics data-mining algorithms for the analysis of molecular modeling, virtual screening, and structure-activity relationship (SAR) analysis. Process and analyze chemical ...

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Showing results 21-40

All JobsMining Data Analytics JobsMining Data Analytics Jobs in Connecticut

Mining Data Analytics information

What does a mining data analytics do?

A mining data analyst collects, processes, and interprets data related to mining operations to improve efficiency, safety, and productivity. They use tools like SQL, Python, or specialized mining software to analyze large datasets and support decision-making. Strong analytical skills and knowledge of mining processes are essential for this role.

What is data analytics in the mining industry?

Data analytics in mining involves collecting and analyzing large datasets from exploration, production, and safety operations to optimize processes, improve efficiency, and reduce costs. Mining data analysts use tools like statistical software and machine learning to interpret sensor data, geological information, and operational metrics, supporting decision-making and resource management.

What is the difference between Mining Data Analytics vs Data Analyst?

AspectMining Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Mining Engineering, or related fields; certifications in data analytics or mining softwareBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentMining sites, data centers, or corporate offices; focus on mineral extraction dataOffice settings, corporate or consulting firms; focus on business data
Employer & Industry UsageMining companies, resource extraction industriesVarious industries including finance, healthcare, retail

Mining Data Analytics and Data Analysts both analyze data, but Mining Data Analytics specializes in mineral extraction data within the mining industry, often requiring industry-specific knowledge and certifications. Data Analysts have a broader scope across multiple industries, focusing on business insights. While both roles involve data interpretation, their environments and applications differ significantly.

What are popular job titles related to Mining Data Analytics jobs in Connecticut? For Mining Data Analytics jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Mining Data Analytics jobs in Connecticut look for? The top searched job categories for Mining Data Analytics jobs in Connecticut are:
What cities in Connecticut are hiring for Mining Data Analytics jobs? Cities in Connecticut with the most Mining Data Analytics job openings:
Mining Data Analytics jobs near you
Infographic showing various Mining Data Analytics job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Scientist

Munich Re

Hartford, CT • On-site

Other

Posted 10 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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