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R Programming Language Jobs in Connecticut (NOW HIRING)

R. Berkley Corporation has grown from a small investment management firm into one of the largest ... Work with data platforms and pipelines designed by data engineers to develop, enhance, and maintain ...

AI and Data Science Engineer III

Hartford, CT · On-site

$115K - $138K/yr

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI fluency and familiarity with machine learning concepts, large language model applications, or AI ...

R. Berkley Corporation has grown from a small investment management firm into one of the largest ... designed by data engineers to develop, enhance, and maintain models, focusing on analytical ...

R. Berkley Corporation has grown from a small investment management firm into one of the largest ... designed by data engineers to develop, enhance, and maintain models, focusing on analytical ...

Translate data analytics into language understood by engineers and data analysts, both in the ... Previous experience programming in software languages such as Python, R, C, MATLAB, etc.

Analyst

Stamford, CT · On-site

$55K/yr

Experience with Python, R, or other programming languages a plus * Experience leveraging AI tools (e.g. large language models, automation platforms) to enhance analytical workflows and enrich data ...

Analyst

Stamford, CT · On-site

$55K/yr

Experience with Python, R, or other programming languages a plus * Experience leveraging AI tools (e.g. large language models, automation platforms) to enhance analytical workflows and enrich data ...

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R Programming Language information

See Connecticut salary details

$76.1K

$118K

$143.6K

How much do r programming language jobs pay per year?

As of Jun 21, 2026, the average yearly pay for r programming language in Connecticut is $117,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $132,700.00 per year, depending on experience, location, and employer.

What are the most common challenges faced by R Programmers in a typical work environment?

R Programmers often encounter large and complex datasets that require efficient data cleaning and transformation techniques to ensure accuracy in analyses. Another common challenge is optimizing R code for performance, especially when working with big data or integrating R with other programming languages or systems. Additionally, clear communication of technical findings to non-technical stakeholders can be demanding but is essential for business impact. Being adaptable and willing to continuously learn new packages and tools helps overcome these challenges and adds significant value to the team.

What is an R Programming Language job?

An R Programming Language job involves using R, a statistical computing and graphics programming language, to analyze data, build statistical models, and create visualizations. Professionals in these roles often work in data science, machine learning, finance, healthcare, and academic research. Responsibilities may include writing R scripts, cleaning and processing data, creating reports, and implementing predictive models. Many R developers also integrate R with other tools like SQL, Python, or cloud platforms for data-driven decision-making.

What are the key skills and qualifications needed to thrive in the R Programming Language position, and why are they important?

Excelling in an R Programmer role requires strong proficiency in R programming, data analysis, and statistical modeling, usually supported by a degree in statistics, data science, computer science, or a related field. Familiarity with data visualization tools (such as ggplot2 or Shiny), version control systems (like Git), and relevant certifications such as the Data Science Council of America (DASCA) or equivalent are often valuable. Strong problem-solving abilities, clear communication, and collaboration skills help R Programmers effectively translate data insights to non-technical stakeholders and work efficiently within project teams. These competencies are crucial for delivering accurate, actionable analyses in various industries including finance, healthcare, and research.

What are popular job titles related to R Programming Language jobs in Connecticut? For R Programming Language jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching R Programming Language jobs in Connecticut look for? The top searched job categories for R Programming Language jobs in Connecticut are:
Infographic showing various R Programming Language job openings in Connecticut as of June 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 100% In-person job distribution, with an average salary of $117,959 per year, or $56.7 per hour.
Actuary/Data Scientist

Actuary/Data Scientist

Berkley

Greenwich, CT

Other

Posted 12 days ago


Job description

Company Details

"Our Company provides a state of predictability which allows brokers and agents to act with confidence."Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion.Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth.

The Company is an equal employment opportunity employer.

Responsibilities

The Actuary/Data Scientist will leverage strong analytical and coding skills to support data pipelines and advanced modeling, emphasizing rigorous quantitative thinking, high quality code, and sound professional judgment. This role will challenge the status quo, apply modern data science and AI approaches, and translate complex analyses into clear, actionable insights.

Write production-quality code for data wrangling, modeling, and AI-assisted analytical workflows. Perform deep exploratory analysis to identify problems, trends, and drivers. Work with data platforms and pipelines designed by data engineers to develop, enhance, and maintain models, focusing on analytical correctness and model integrity. Design and apply machine learning tools, including accessing large language models (LLMs) or building task-specific agents. Apply professional skepticism and alternate approaches to thoroughly validate results. Communicate results effectively to actuarial peers, management, and non-technical audiences. Understand the different data types and uses of data within an insurance organization. Provide support and guidance to others who are at earlier stages in their data science or AI journey.

Qualifications

Qualifications:

4-7 years of relevant actuarial, technical, or research experience. Strong programming skills, particularly in Python, including analytical and modeling libraries. Experience applying AI, machine learning, or LLM-based tools to solve real data or analytical problems (e.g., building agents, calling model APIs, or integrating AI into analytical workflows). Proficient in probability and statistics, with experience working with large and complex data flows and articulating project plans and conclusions. Proficient with SQL and cloud-based or distributed data environments (e.g., Snowflake, Databricks, or similar platforms).

Education Requirement

Master's degree in Data Science preferred. Progress toward CAS credentials (ACAS or nearly/newly FCAS or international equivalent).

Additional RequirementsLocation and Travel: Primary location Greenwich, CT.Sponsorship DetailsSponsorship not Offered for this RoleEmployment Type: OTHER