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Internship Data Science R Jobs in Connecticut (NOW HIRING)

In addition, you will work on small scale or ad hoc data science projects independently. Work ... Hands-on experience in Python, R, SQL, Scala * Exposure to cloud computing (Azure, AWS, etc.

R. Berkley Corporation has grown from a small investment management firm into one of the largest ... This role will challenge the status quo, apply modern data science and AI approaches, and translate ...

R. Berkley Corporation has grown from a small investment management firm into one of the largest ... This role will challenge the status quo, apply modern data science and AI approaches, and translate ...

Data Engineer

Greenwich, CT ยท On-site

$128K - $154K/yr

Job Summary : W. R. Berkley Corporation is one of the largest commercial lines property and ... data science, and business teams to enable modeling and AI uses. โ€ข Apply AIโ€‘assisted ...

... Science โ€ข Experience with machine learning, AI, and cognitive service engine models โ€ข ... SQL, Python, R, and Scala โ€ข Using analytics software and platforms (GA, GTM, SPSS, Excel ...

Data Engineer

Greenwich, CT

$128K - $154K/yr

R. Berkley Corporation has grown from a small investment management firm into one of the largest ... Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.

Data Engineer

Greenwich, CT ยท On-site

$128K - $154K/yr

R. Berkley Corporation has grown from a small investment management firm into one of the largest ... Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.

In this position, you will work independently on data science projects of any scale and you will be ... Hands-on experience in Python, R, SQL, Scala * Exposure to cloud computing (Azure, AWS, etc.

Associate Data Scientist

Stamford, CT ยท On-site +1

$62K - $63K/yr

... data science and machine learning techniques through professional work, internships, or research. * Experience with Python, SQL, statistical analysis, and databases. * Curiosity and a growth mindset ...

New

In this position, you will work independently on data science projects of any scale and you will be ... Hands-on experience in Python, R, SQL, Scala * Exposure to cloud computing (Azure, AWS, etc.

Associate Data Scientist

Stamford, CT ยท On-site

$62K - $63K/yr

... data science and machine learning techniques through professional work, internships, or research. * Experience with Python, SQL, statistical analysis, and databases. * Curiosity and a growth mindset ...

New

Data Engineer

Greenwich, CT ยท On-site

$128K - $154K/yr

R. Berkley Corporation has grown from a small investment management firm into one of the largest ... Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.

Showing results 21-40

Internship Data Science R information

What is an internship data science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What types of projects can I expect to work on during an internship data science R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What are the key skills and qualifications needed to thrive as an internship data science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

What cities in Connecticut are hiring for Internship Data Science R jobs?

Cities in Connecticut with the most Internship Data Science R job openings:

Data Scientist

Munich Re

Hartford, CT โ€ข On-site

Full-time

Posted 24 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. ย ย 
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.ย  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.ย  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.ย  Other duties, responsibilities and activities may change or be assigned at any time with or without notice.