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Machine Learning Remote Internship Jobs in Connecticut

ABB

OEM Sales Director-Machinery

Wilton, CT · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

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Machine Learning Remote Internship information

What types of projects can I expect to work on during a Machine Learning Remote Internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What is a Machine Learning Remote Internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

What are the key skills and qualifications needed to thrive as a Machine Learning Remote Intern, and why are they important?

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

What is the difference between Machine Learning Remote Internship vs Data Science Intern?

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What are popular job titles related to Machine Learning Remote Internship jobs in Connecticut? For Machine Learning Remote Internship jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Machine Learning Remote Internship jobs in Connecticut look for? The top searched job categories for Machine Learning Remote Internship jobs in Connecticut are:
What cities in Connecticut are hiring for Machine Learning Remote Internship jobs? Cities in Connecticut with the most Machine Learning Remote Internship job openings:
Machine Learning Remote Internship jobs near you
Infographic showing various Machine Learning Remote Internship job openings in Connecticut as of July 2026, with employment types broken down into 11% Internship, 49% Full Time, 16% Part Time, and 24% Contract. Highlights an 100% Remote job distribution.
Lead Director, Aetna Operations Enablement Insights & Reporting

Lead Director, Aetna Operations Enablement Insights & Reporting

CVS Health

Hartford, CT • On-site, Remote

$100K - $231K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

New

CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,278 frontline employees who took The Breakroom Quiz

80th of 104 rated pharmacies

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary
As the Lead Director, Aetna Operations Enablement Insights & Reporting, you'll be responsible for executing and advancing analytics and reporting capabilities within Service Operations, translating strategic priorities into actionable insights. You'll partner closely with business leaders to deliver timely, decision-driving analytics that improve performance across operational, financial, and experience metrics. You will drive the development of scalable reporting solutions, ensures data quality and integrity, and leads a team focused on delivering high-impact insights. In this role you will bridge strategy and execution by operationalizing analytics priorities into measurable outcomes.

Key Responsibilities

  • Lead the execution of analytics and reporting strategies that support Service Operations performance management and decision-making.
  • Translate business needs into actionable reporting, dashboards, and insights across operational, financial, workforce, and experience domains.
  • Deliver and continuously improve performance reporting (e.g., scorecards, dashboards, monthly/weekly reporting routines) with a focus on accuracy, consistency, and usability.
  • Partner with Operations, Finance, Product, and Technology teams to identify analytics opportunities and drive data-informed decisions.
  • Manage and evolve reporting tools and dashboards (e.g., Tableau, Power BI) to enable self-service insights for business stakeholders.
  • Ensure data integrity, quality, and adherence to governance standards across reporting and analytics outputs.
  • Identify root causes and performance drivers, delivering insights and recommendations to improve efficiency, quality, and customer experience.
  • Lead and develop a team of managers, analysts, and SMEs, fostering strong analytical capabilities and accountability for outcomes.
  • Drive process optimization by reducing manual reporting, improving automation, and increasing speed-to-insight.
  • Support the execution of performance management routines (e.g., operating reviews), ensuring readiness of insights and materials.
  • Contribute to advancing analytics capabilities, including adoption of new tools, methodologies, and data sources.

***This position can be hybrid or remote. Candidates can live anywhere in the US.***

Required Qualifications

  • 10+ years of experience in analytics, reporting, operations, or business intelligence roles.
  • Experience in healthcare (payer, service operations, claims, contact center, or provider operations preferred).
  • Demonstrated experience delivering analytics solutions and reporting that drive business decisions.
  • Strong proficiency in analytics tools and technologies (e.g., SQL, Tableau, Power BI, Alteryx, cloud data platforms).
  • Proven experience leading teams, including managers and/or senior analysts.
  • Strong analytical, problem-solving, and decision-making experience.
  • Experience collaborating across functions and influence stakeholders.


Preferred Qualifications

  • Experience with advanced analytics techniques (predictive modeling, machine learning).
  • Exposure to large-scale analytics transformation or modernization initiatives.
  • Experience working with data governance, data architecture, or enterprise data platforms.


Education

  • Bachelor's degree, or equivalent experience required.
  • Master's degree in a quantitative field or MBA preferred.

Pay Range

The typical pay range for this role is:

$100,000.00 - $231,540.00


This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 07/25/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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