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Internship Data Science Physics Jobs in Chicago, IL

Cccis

Data Science Engineer Internship

Chicago, IL · On-site

$20 - $43/hr

Partner with data scientists and ML engineers to make datasets model-ready, including preparing ... internship. We are looking for candidates who offer strong collaborative skills and work well with ...

TransUnion

Data Science Platform Developer

Chicago, IL · On-site

Own data science requirements and tracking, working to identify strategies and opportunities to ... interns on a project basis, as needed. * Participate in interviewing and evaluation of new talent ...

Abbott

Senior Data Engineer

Des Plaines, IL · On-site

$103K - $140K/yr

Whether you have a degree in biology, computer science, physics, mathematics, finance, or economics ... Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to ...

Abbott Laboratories

Senior Data Engineer

Des Plaines, IL · On-site

$78K - $156K/yr

Whether you have a degree in biology, computer science, physics, mathematics, finance, or economics ... Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to ...

Abbott

Senior Data Engineer

Des Plaines, IL · On-site

$103K - $140K/yr

Whether you have a degree in biology, computer science, physics, mathematics, finance, or economics ... Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to ...

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All JobsData Science Physics JobsInternship Data Science Physics JobsInternship Data Science Physics Jobs in Chicago, IL

Internship Data Science Physics information

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$12

$23

$43

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

As of Aug 20, 2026, the average hourly pay for internship data science physics in Chicago, IL is $23.18, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $25.24 per hour, depending on experience, location, and employer.

What is an internship data science physics?

Internship Data Science Physics positions are temporary roles designed for students or recent graduates with a background in physics who are interested in applying data science techniques to solve scientific and analytical problems. These internships typically involve working with large datasets, performing statistical analyses, building models, and interpreting results within a physics-related context. Interns gain hands-on experience with programming languages like Python or R, machine learning tools, and data visualization methods, often contributing to research or product development teams. These roles help bridge academic knowledge in physics with practical data science skills, preparing interns for careers in research, technology, or industry.

What types of projects or tasks can I expect to work on during an internship data science physics?

As a Data Science Physics intern, you can expect to work on projects that involve analyzing large datasets derived from physical experiments or simulations, developing predictive models, and visualizing complex phenomena. Typical tasks might include cleaning and preprocessing data, applying statistical or machine learning techniques, and collaborating with researchers to interpret results. You may also assist in automating data workflows or contributing to scientific publications, providing a dynamic and collaborative environment that bridges data science and physics.

What are the key skills and qualifications needed to thrive as an internship data science physics, and why are they important?

To thrive as an Internship Data Science Physics, you need a solid grounding in physics, mathematics, and programming, typically supported by progress toward a relevant degree. Familiarity with data analysis tools such as Python, MATLAB, or R, and experience using statistical or machine learning libraries are commonly expected. Strong problem-solving, analytical thinking, and effective communication skills help interns stand out in team-based research environments. These competencies ensure you can effectively analyze complex data, contribute to scientific discoveries, and present insights clearly.

What is the difference between Internship Data Science Physics vs Data Analyst Intern?

AspectInternship Data Science PhysicsData Analyst Intern
Required SkillsProgramming, data analysis, physics concepts, statistical methodsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, marketing departments
Industry UsageResearch, scientific computing, tech innovationBusiness intelligence, reporting, decision-making

Internship Data Science Physics focuses on applying data science skills within physics and research contexts, often involving scientific computing and experimental data. In contrast, Data Analyst Internships are centered on analyzing business data, creating reports, and supporting decision-making processes. Both roles require analytical skills and familiarity with data tools, but their environments and applications differ significantly.

What are the most commonly searched types of Data Science Physics jobs in Chicago, IL?

The most popular types of Data Science Physics jobs in Chicago, IL are:

What are popular job titles related to Internship Data Science Physics jobs in Chicago, IL?

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

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

The top searched job categories for Internship Data Science Physics jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Internship Data Science Physics jobs?

Cities near Chicago, IL with the most Internship Data Science Physics job openings:

Internship Data Science Physics jobs near you
Infographic showing various Internship Data Science Physics job openings in Chicago, IL as of August 2026, with employment types broken down into 16% Internship, 72% Full Time, 7% Part Time, and 5% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $48,220 per year, or $23.2 per hour.

Senior Director Data Science

Health Care Service Corporation

Chicago, IL • On-site

Full-time

Re-posted 10 days ago

Job description

Job Summary:
Health Care Service Corporation (HCSC) is a purpose-driven company that invests in the professional development of its employees. The Senior Director of Data Science is responsible for planning, managing, and controlling department activities that utilize advanced mathematical and statistical concepts to analyze data and solve business problems, while leading a team of analysts.
Responsibilities:
• Planning, managing and controlling the activities of the department that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems.
• Constructing predictive models, algorithms and probability engines to support data analysis or product functions; verifying model and algorithm effectiveness based on real-world results.
• Leading initiatives to analyze complex business problems and issues using data from internal and external sources; bringing expertise or identifying subject matter experts in support of multi-functional efforts to identify, interpret and produce recommendations and plans based on company and external data analysis.
• Advising business by providing data-based strategic direction to identify and address business issues and opportunities.
• Planning, managing and leading team of analysts that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems.
Qualifications:
Required:
• Bachelor’s degree and 7 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 2 or more advanced degrees and 6 years of work experience in a in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. and 4 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 11 years of work experience in an advanced mathematical, statistical , engineering, physics or related quantitative field.
• Leadership and/or management experience.
• 4 years of management experience.
• Learning and growth mindset.
• Customer-focused.
• Interpersonal, verbal and written communication skills.
• Experience in at least five of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing. 6) understanding of healthcare.
• Microsoft applications including Access, Excel, Word and Power Point.
• A track record of independently delivering or leading the delivery of a complex analytics or data science project.
• Mentoring, managing, or leading junior analytics or data science staff.
• Overseeing the annual budget and allocating resources for various projects and operational needs.
• Translating needs and initiatives into compelling business cases.
• Conducting cost-benefit analyses to justify investments and ensure ROI.
Preferred:
• Masters or Ph.D. in a quantitative field, or Bachelor’s degree with healthcare experience.
• Actuarial Credentials
Company:
Health Care Service Corporation is a customer-owned health insurance company. Founded in 1936, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

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