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

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

... data science manager What Sets You Apart - Bachelor's Degree in Accounting, Business Analytics, Analytics, Software Engineering, Computer Engineering preferred - Ability to implement AI thinking in ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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 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:
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.
Payer Healthcare Data Scientist, Manager

Payer Healthcare Data Scientist, Manager

Pwc

Stamford, CT • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th of 57 rated business consultants


Job description

Industry/Sector

Health Services

Specialism

Operations

Management Level

Manager

Job Description & Summary

At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance.
As an operations consulting generalist at PwC, you will possess a broad understanding of various aspects of operations consulting. You will provide comprehensive guidance and support to clients in optimising operational efficiency and effectiveness. Working in this area, you will analyse client needs, develop operational solutions, and offer recommendations tailored to specific business requirements.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable insights that reduce cost of care and improve population health outcomes for our payer clients. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff while securing project success and maintaining exemplary standards. This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare.
Responsibilities
- Apply advanced data science and machine learning methodologies to analyze vast claims and clinical data
- Generate actionable insights aimed at reducing healthcare costs and enhancing population health
- Lead and mentor teams while managing client relationships and expectations
- Secure successful project execution while upholding quality standards
- Collaborate with industry leaders to develop innovative analytics solutions
- Present findings and strategies to senior stakeholders, including Chief Actuaries
- Play a key role in the development of new analytics products for payer strategies
- Foster a culture of continuous improvement and knowledge sharing within the team
What You Must Have
- Bachelor's Degree
- At least 6 years of experience in data science and machine learning
What Sets You Apart
- Master's Degree in Statistics, Computer Science, Applied Mathematics, Biotechnology preferred
- Prior consulting or advisory firm experience preferred
- Contributing to commercial analytics product development
- Familiarity with NCQA HEDIS specifications and CMS Star Ratings
- Knowledge of government payer programs and Medicaid
- Experience with NLP or unstructured clinical text
- Exposure to social determinants of health data integration

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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