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

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 ...

Cisco

Applied AI Scientist

Stamford, CT · On-site

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

Reli Group Inc

Power BI Intern

Bridgeport, CT · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Reli Group Inc

Power BI Intern

Norwalk, CT · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

JobTarget

Agentic AI Developer Intern

Stamford, CT · On-site

$27 - $30/hr

The Opportunity We are looking for a motivated Generative AI Developer Intern to join our AI ... Data Science, or a related technical field. * Strong programming skills in Python, JavaScript ...

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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 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:
Data Scientist Intern jobs near you
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.
Process Development Engineer III, AI and Data Science

Process Development Engineer III, AI and Data Science

Regeneron Pharmaceuticals, Inc.

Tarrytown, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Regeneron rating

8.7

Company rating: 8.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

12th of 74 rated pharmaceutical

Job description

The Data Enablement and Analytics (DEA) team within the PAPD (Product, Analytics and Process Development) organization drives PAPD's digital transformation by making data usable, useful, and impactful in support of our mission of Transforming Therapeutic Molecules into Products for a Diversified Pipeline.
We are seeking a Process Development Engineer III, AI and Data Science to join our Artificial Intelligence (AI) and Advanced Analytics (AA) team in DEA, who pairs deep bioprocess-engineering expertise with sophisticated AI/ML and Data Science (DS) capabilities to accelerate biologics development and manufacturing.
You will design, implement, and operationalize AI and DS models for upstream (cell-culture/bioreactor), downstream (purification) operations, Formulation Development and multiple Analytics teams while partnering closely with process-development, manufacturing-sciences, and digital teams. You will turn data into prescriptive guidance, deploy production-grade models, and build innovative AI solutions that enhance process understanding, optimization, and automation.
A Typical Day in the Role of Process Development Engineer III Might Look Like:
  • Build and deploy AI/ML-powered solutions to accelerate our digitalization journey.
  • Advance PAPD's broader AI, DS and related digital-maturity initiatives.
  • Collaborate with process engineers, citizen data scientists, IT, and manufacturing colleagues to coordinate AI and Advanced modeling efforts enterprise wide.
  • Explore, prototype and implement GenAI approaches and solutions (e.g., Retrieval-Augmented Generation) to enhance knowledge management, and decision support.
  • Develop, validate, and maintain mechanistic, hybrid, and data-driven models for cell culture, purification, formulation and other processes. These include digital twins, advanced predictive modelling, and process control techniques.
  • Translate complex bioprocess questions into quantitative modeling strategies that inform scale-up, tech transfer, and continuous improvement.
  • Mentor citizen data scientists and champion best practices in model development, method selection, and code quality.

This Role Might Be For You If You Have:
  • Analytical rigor and creative problem solving
  • Ability to drive projects autonomously while thriving in cross-functional teams
  • Excellent written and verbal communication
  • Passion for innovation and continuous learning

Required Qualifications
  • This role requires a Ph.D. in Chemical/Biochemical Engineering, Biotechnology, Applied Mathematics, Computer Science or related field with 0-2+ years of industrial experience OR- Master's with 7+ years.
  • Expert programming proficiency in Python and experience with statistical/computational tools such as JMP, SIMCA or MATLAB is required.
  • Proven ability to communicate technical concepts to multidisciplinary stakeholders.

Preferred Qualifications
  • Hands-on experience with cloud analytics platforms (e.g., Dataiku, Databricks).
  • Strong working knowledge of Quality-by-Design (QbD) principles and statistically rigorous Design-of-Experiments (DoE) for defining design space, optimizing critical process parameters, and informing robust control strategies.
  • Familiarity with PAT and chemometric modeling (e.g., Raman spectroscopy) for bioprocess monitoring and control.
  • Understanding of operation research techniques such as combinatorial optimization, linear programming, mixed integer programming is a plus.
  • Ability to deal with data from both SQL and NoSQL systems to support analytics, real-time processing, and application performance is a plus.
  • Publication record in bioprocess modeling or AI for biomanufacturing is a plus.
  • Mechanistic understanding of upstream and/or downstream bioprocess unit operations, scale-up/down principles, and critical quality attributes is strongly preferred.
  • A demonstrated success modeling bioprocesses via first-principles, hybrid, or data-driven (ML) methods is preferred.
  • A strong foundation in AI/ML algorithms (regression, classification, Bayesian methods, deep learning, time-series, probabilistic modeling) is a plus, along with expertise in multivariate statistics for process modeling, real-time monitoring, and control.
  • Some experience with GenAI stacks (LLMs, vector databases, RAG pipelines) and multimodal techniques is necessary/required/strongly preferred.

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.
Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.
Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about on-site expectations for your role and location.
As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.
For jobs in Canada: this posting is for an existing position.
Salary Range (annually)
$109,900.00 - $179,300.00

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