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Data Scientist Intern Jobs in Ridgefield, CT (NOW HIRING)

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 ...

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 ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

(USA) Staff, Data Scientist

White Plains, NY ยท On-site

$132K - $264K/yr

Walmart is seeking a Staff Data Scientist to leverage advanced analytics and machine learning techniques to solve complex business challenges. This role involves identifying and sourcing relevant ...

During the summer, each BLP Intern is provided with project work that is important to our business ... leveraging data science to develop cutting-edge machine learning models to predict customer ...

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Showing results 1-20

Data Scientist Intern information

See Ridgefield, CT salary details

$45.8K

$164.3K

$242.5K

How much do data scientist intern jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data scientist intern in Ridgefield, CT is $164,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,000.00 and $169,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist Intern, and why are they important?

To thrive as a Data Scientist Intern, you generally need a strong foundation in statistics, programming (often Python or R), and data analysis, often supported by coursework in computer science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries like scikit-learn or TensorFlow is typically expected. Strong problem-solving skills, curiosity, and effective communication set standout candidates apart in this role. These skills and qualities are crucial for extracting insights from data, collaborating with diverse teams, and contributing meaningful solutions to real-world problems.

What types of projects and tasks can I expect to work on as a Data Scientist Intern?

As a Data Scientist Intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing datasets, building predictive models, and generating data visualizations to support business decisions. You'll often collaborate with other data scientists, engineers, and business teams to tackle real-world problems and may be asked to present your findings to stakeholders. These experiences are designed to help you develop technical skills, gain exposure to industry tools and methodologies, and understand how data science contributes to organizational goals.

What are Data Scientist Interns?

Data Scientist Interns are individuals, often students or recent graduates, who work temporarily in organizations to gain practical experience in data science. Their main responsibilities include collecting, cleaning, analyzing, and visualizing data under the guidance of experienced data scientists. Interns may also assist in building machine learning models, generating reports, and presenting insights to help solve real business problems. The internship provides valuable hands-on experience and helps interns develop technical and analytical skills necessary for a full-time data science role.

What is the difference between Data Scientist Intern vs Data Analyst Intern?

AspectData Scientist InternData Analyst Intern
Required CredentialsTypically pursuing or holding a degree in Data Science, Computer Science, or related fieldsUsually pursuing or holding a degree in Statistics, Mathematics, or related fields
Work EnvironmentInvolves building predictive models, machine learning, and advanced analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprises for complex data projectsCommon in retail, marketing, and business intelligence roles across industries

While both roles involve working with data, a Data Scientist Intern typically engages in advanced analytics and machine learning projects, whereas a Data Analyst Intern focuses on data reporting and descriptive analysis. The roles differ mainly in complexity and technical skills required, but both serve as entry points into data-driven careers.

What are the most commonly searched types of Data Scientist jobs in Ridgefield, CT? The most popular types of Data Scientist jobs in Ridgefield, CT are:
What cities near Ridgefield, CT are hiring for Data Scientist Intern jobs? Cities near Ridgefield, CT with the most Data Scientist Intern job openings:
Infographic showing various Data Scientist Intern job openings in Ridgefield, CT as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $164,349 per year, or $79 per hour.
Actuary/Data Scientist

Actuary/Data Scientist

Berkley

Greenwich, CT โ€ข On-site

Other

Re-posted 5 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.
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.
โ€ข Write production-quality code for data wrangling, modeling, and AI-assisted analytical workflows.
โ€ข Perform deep exploratory analysis to identify problems, trends, and drivers.
โ€ข Work with data platforms and pipelines designed by data engineers to develop, enhance, and maintain models, focusing on analytical correctness and model integrity.
โ€ข Design and apply machine learning tools, including accessing large language models (LLMs) or building task-specific agents.
โ€ข Apply professional skepticism and alternate approaches to thoroughly validate results.
โ€ข Communicate results effectively to actuarial peers, management, and non-technical audiences.
โ€ข Understand the different data types and uses of data within an insurance organization.
โ€ข Provide support and guidance to others who are at earlier stages in their data science or AI journey.
Qualifications
Qualifications:
โ€ข 4-7 years of relevant actuarial, technical, or research experience.
โ€ข Strong programming skills, particularly in Python, including analytical and modeling libraries.
โ€ข 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).
โ€ข Proficient in probability and statistics, with experience working with large and complex data flows and articulating project plans and conclusions.
โ€ข Proficient with SQL and cloud-based or distributed data environments (e.g., Snowflake, Databricks, or similar platforms).
Education Requirement
โ€ข Master's degree in Data Science preferred.
โ€ข Progress toward CAS credentials (ACAS or nearly/newly FCAS or international equivalent).
Additional Requirements
Location and Travel:
โ€ข Primary location Greenwich, CT.
Sponsorship Details
Sponsorship not Offered for this Role