ZipRecruiter

Log In

2

Data Science Remote Internship Jobs in Itasca, IL

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Unlock Health

Creative Data Analyst

Chicago, IL · On-site +1

Experience presenting data or project findings (in classrooms, internships, or past roles) with ... Hybrid and Remote work schedules available * Employee Assistance Program (unlimited free telephonic ...

Ambry Genetics

Corporate Counsel (Remote)

Chicago, IL · On-site +1

$15K - $200K/yr

Remote or Hybrid in Chicago Key Responsibilities * Your primary focus will be assisting with ... commercial organizations, data science, medical affairs, product & engineering, finance ...

Tempus

Corporate Counsel (Remote)

Chicago, IL · On-site +1

$15K - $200K/yr

Remote or Hybrid in Chicago Key Responsibilities * Your primary focus will be assisting with ... commercial organizations, data science, medical affairs, product & engineering, finance ...

Ambry Genetics

Corporate Counsel (Remote)

Chicago, IL · On-site +1

$15K - $200K/yr

Remote or Hybrid in Chicago Key Responsibilities * Your primary focus will be assisting with ... commercial organizations, data science, medical affairs, product & engineering, finance ...

Tempus

Corporate Counsel (Remote)

Chicago, IL · On-site +1

$15K - $200K/yr

Remote or Hybrid in Chicago Key Responsibilities * Your primary focus will be assisting with ... commercial organizations, data science, medical affairs, product & engineering, finance ...

Kemper

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent work ...

Kemper

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent work ...

previous page

Showing results 41-60

All JobsData Science JobsData Science Remote Internship JobsData Science Remote Internship Jobs in Itasca, IL

Data Science Remote Internship information

See Itasca, IL salary details

$11

$21

$40

How much do data science remote internship jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for data science remote internship in Itasca, IL is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $23.89 per hour, depending on experience, location, and employer.

What is a data science remote internship?

A Data Science Remote Internship is a temporary, practical work experience opportunity in the field of data science that is completed remotely, usually from your own home or any location with internet access. Interns work on real-world projects involving data analysis, machine learning, and statistical modeling, often collaborating with teams through online communication tools. This type of internship is ideal for gaining hands-on experience, building a portfolio, and developing skills relevant to data science careers, all while offering flexibility and eliminating the need to relocate.

What are the key skills and qualifications needed to thrive as a data science remote intern?

To thrive as a Data Science Remote Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or projects in data science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow) is typically expected. Strong problem-solving abilities, self-motivation, and effective communication are essential soft skills for collaborating remotely and conveying analytical insights. These competencies ensure you can independently contribute to projects, adapt to remote workflows, and deliver actionable data-driven solutions.

What types of projects can I expect to work on during a remote data science internship, and how is project collaboration typically managed?

During a remote data science internship, you can expect to work on projects such as data cleaning, exploratory data analysis, model development, and visualization tasks that support ongoing business needs. Collaboration is commonly managed through virtual tools like Slack, Zoom, and project management platforms (e.g., Jira or Trello), with regular check-ins and code reviews from your mentor or team. Interns often participate in team meetings, contribute to group presentations, and use version control systems like Git to share code and receive feedback. This structure ensures you gain practical experience while staying connected with your team, even in a remote setting.

What is the difference between Data Science Remote Internship vs Data Analyst Remote Internship?

AspectData Science Remote InternshipData Analyst Remote Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften pursuing or recent graduate in Data Analysis, Business, or related fields
Work EnvironmentRemote, collaborative with data science teams, using programming languages like Python or RRemote, focusing on data interpretation, visualization, and reporting tools like Excel, SQL, Tableau
Employer & Industry UsageTech companies, finance, healthcare, startupsBusiness, marketing, finance, consulting firms

While both roles involve working with data remotely, Data Science Remote Internships focus on building predictive models and programming skills, whereas Data Analyst Remote Internships emphasize data interpretation, visualization, and reporting. The choice depends on your career goals and skill set.

What are popular job titles related to Data Science Remote Internship jobs in Itasca, IL?

For Data Science Remote Internship jobs in Itasca, IL, the most frequently searched job titles are:

What job categories do people searching Data Science Remote Internship jobs in Itasca, IL look for?

The top searched job categories for Data Science Remote Internship jobs in Itasca, IL are:

What cities near Itasca, IL are hiring for Data Science Remote Internship jobs?

Cities near Itasca, IL with the most Data Science Remote Internship job openings:

Data Science Remote Internship jobs near you
Infographic showing various Data Science Remote Internship job openings in Itasca, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $45,576 per year, or $21.9 per hour.

Director, Data Engineering - OptumRx Technology - Remote

UnitedHealth Group

Schaumburg, IL • On-site, Remote

Full-time

Retirement

Posted 4 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

191st of 893 rated healthcare providers

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Director, Data Engineering & AI leads the strategy, architecture, and execution of enterprise data platforms that power analytics, machine learning, and generative AI capabilities. The role is accountable for building scalable AI-ready data foundations, governing trusted data assets, enabling responsible AI adoption, and delivering business value through modern data products while leading high-performing engineering teams and driving enterprise-wide transformation.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
  • AI-Ready Data Platform Strategy
    • Define and drive the enterprise data engineering and AI platform vision
    • Establish scalable data architectures to support analytics, machine learning, GenAI, and agentic AI solutions
    • Ensure data platforms are cloud-native, secure, resilient, and cost-efficient
    • Build AI-ready data foundations including semantic layers, metadata, lineage, and knowledge graphs
  • Data Engineering Leadership
    • Lead multiple data engineering teams responsible for ingestion, transformation, storage, and consumption of enterprise data
    • Establish engineering standards, best practices, and reusable frameworks
    • Oversee development of data pipelines, data products, APIs, and real-time streaming solutions
    • Drive modernization from legacy platforms to cloud-based architectures
  • AI & Machine Learning Enablement
    • Partner with Data Science and AI teams to operationalize ML and GenAI solutions
    • Build feature stores, vector databases, embedding pipelines, and RAG architectures
    • Enable model training, deployment, monitoring, and lifecycle management
    • Define standards for AI observability, explainability, and responsible AI
  • Enterprise Data Governance
    • Establish data quality, stewardship, lineage, cataloging, and master data management processes
    • Ensure compliance with regulatory, privacy, and security requirements
    • Implement governance frameworks for AI training data and AI-generated outputs
    • Drive trusted and certified data asset programs
  • Data Product Management
    • Champion a data-as-a-product mindset
    • Define ownership, SLAs, and quality standards for enterprise data products
    • Prioritize investments based on business value and AI-readiness
    • Measure adoption, quality, and business impact of data products
  • Innovation & Emerging Technologies
    • Evaluate emerging technologies in GenAI, Agentic AI, Data Fabric, Semantic Layer, Knowledge Graphs, and Intelligent Automation
    • Lead proof-of-concepts and enterprise-scale deployment strategies
    • Drive automation of engineering operations using AI-powered tooling
    • Promote innovation culture across engineering teams
  • Business & Stakeholder Engagement
    • Partner with business, product, analytics, and technology leaders to identify AI-powered opportunities
    • Translate business objectives into scalable data and AI capabilities
    • Communicate technology strategy and value realization to executive leadership
    • Influence investment decisions and roadmap priorities
  • Financial & Operational Management
    • Own platform budgets, vendor management, and resource planning
    • Optimize cloud costs and platform utilization
    • Establish KPIs for platform reliability, performance, and productivity
    • Ensure operational excellence and adherence to SLAs
  • Talent Development
    • Recruit, mentor, and develop high-performing data engineering and AI engineering teams
    • Build organizational capabilities in cloud, analytics, MLOps, GenAI, and data governance
    • Create career growth paths and succession plans
    • Foster a culture of innovation, accountability, and continuous learning
  • Key Success Metrics
    • Data quality and reliability
    • AI adoption and business value realization
    • Platform availability and performance
    • Data product usage and customer satisfaction
    • Engineering productivity and automation
    • Cloud cost optimization
    • Regulatory and governance compliance
    • Team engagement and retention

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Undergraduate degree or equivalent experience
  • Hands-on experience with AI, creating agentic solutions
  • Solid knowledge of Unix and shell scripting
  • Solid understanding of DWH principles, Spark/Databricks, Azure Architecture
  • Solid understanding of Data Architecture and Azure Cloud
  • Understanding of QA and testing automation process
  • Understanding and knowledge of Agile

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $134,600 - $230,800 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

What UnitedHealth Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply