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

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

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

Gartner

Director, Data Science

Stamford, CT · Remote

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

Walmart

(USA) Staff, Data Scientist

White Plains, NY · 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 ...

Synchrony

BLP Intern - Data Analytics

Stamford, CT · On-site

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 ...

Fladger Associates

Scientist III

Ridgefield, CT · On-site

Data Analysis: Implement methods for omics data analysis, and interpretation of genomic data sets ... Follow relevant scientific literature to ensure use of optimal methods and understand emerging ...

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All JobsData Scientist Intern JobsData Scientist Intern Jobs in Ridgefield, CT

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 Jun 24, 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:
Data Scientist Intern jobs near you
Infographic showing various Data Scientist Intern job openings in Ridgefield, CT as of June 2026, with employment types broken down into 3% As Needed, 49% Full Time, 45% Part Time, and 3% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $164,349 per year, or $79 per hour.
Senior Data Scientist - AI/ML Solutions

Senior Data Scientist - AI/ML Solutions

Spartan Technologies, Inc.

Stamford, CT • On-site

Full-time

Posted 11 days ago

Job description

We seek a Senior Data Scientist - AI/ML Solutions for our client's direct hire position. This role is a hybrid remote position, requiring 2 days a week at our client's offices.
This position is open to US Citizens, Green Card holders, or qualified persons requiring sponsorship.
Office locations: NYC, NY | Holmdel, NJ | Stamford, CT | Bethlehem, PA, Boston, MA
Your Job
As a Senior Data Scientist - AI/ML Solutions, you will join our client's team of Data Scientists to develop advanced data science solutions using machine learning and artificial intelligence. Your role will involve leading use case/workstream with junior data scientists and supporting use case development from initial data exploration to the creation of final reports. You will utilize advanced statistical and AI/ML techniques to create predictive models and analyses that address business objectives. Additionally, you will collaborate with cross-functional teams, perform data wrangling and ETL, and ensure data accuracy and consistent reporting. This is an exciting opportunity to apply cutting-edge technology and contribute to our client's ongoing evolution as a forward-thinking insurance company.
The Work
  • Lead use case/workstream with junior data scientists
  • Support use case development including data exploration, project/sample design, data reception and processing, analysis and modeling, and creation of final report/presentation
  • Perform data wrangling/data matching/ETL to explore various data sources, gain data expertise, perform summary analyses, and prepare modeling datasets
  • Utilize advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs
  • Identify source data and perform data quality checks both in model/solution development and in production
  • Package model/solution and deploy it in cooperation with Data Engineers and MLOps
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis.

Qualifications
Meets one of the following Education AND Experience combinations:
  • Combination 1 - PhD with 2+ years of experience

or
  • Combination 2 - Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field

  • 3+ years of hands-on ML modeling/development experience
  • Solid understanding of data analysis and statistical modeling
  • Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks
  • Demonstrated track record in experimental design and execution
  • Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing, and applying parallelism to ML solutions
  • Strong programming skills in Python
  • Solid background in algorithms and a range of ML models
  • Excellent communication skills and ability to work and collaborate cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
  • Excellent analytical and problem-solving abilities with superb attention to detail
  • Proven leadership in providing technical leadership and mentoring to data scientists, strong management skills with the ability to monitor/track performance for enterprise success

Nice to Have
  • Experience with deep learning and neural networks
  • Familiarity with big data technologies such as Hadoop and Spark
  • Knowledge of natural language processing (NLP) techniques
  • Understanding of cloud computing platforms such as AWS or Azure
  • Previous experience in the insurance or financial industry

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