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Internship Optum Data Science Jobs in Baltimore, MD

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Internship Optum Data Science information

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$11

$22

$41

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

As of Aug 30, 2026, the average hourly pay for internship optum data science in Baltimore, MD is $22.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.38 per hour, depending on experience, location, and employer.

What is an internship Optum Data Science?

An Internship Optum Data Science is a temporary, entry-level role at Optum, a healthcare services company, where students or recent graduates work on real-world data science projects. Interns gain hands-on experience analyzing healthcare data, building predictive models, and collaborating with professionals to solve business challenges. The internship provides valuable exposure to the healthcare industry, advanced analytics tools, and the opportunity to develop technical and professional skills. It's designed to help individuals explore a career in data science while contributing to impactful work that can improve health outcomes.

What types of projects can I expect to work on during a Data Science internship at Optum?

As a Data Science intern at Optum, you will typically contribute to projects focused on healthcare analytics, predictive modeling, and data visualization to support business and clinical decision-making. Interns often work with large datasets to uncover insights that help improve patient outcomes, reduce costs, or optimize operational processes. You can expect to collaborate closely with experienced data scientists, engineers, and business stakeholders, gaining hands-on experience with industry-standard tools and practices. This environment not only allows you to develop your technical skills but also provides exposure to real-world applications of data science in healthcare.

What are the key skills and qualifications needed to thrive as an internship Optum Data Science, and why are they important?

To excel as a Data Science Intern at Optum, you typically need a solid background in statistics, programming (often Python or R), and data analysis, usually gained through coursework or a related degree. Familiarity with data visualization tools like Tableau, machine learning libraries such as scikit-learn or TensorFlow, and experience with SQL databases are highly advantageous. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These qualifications and skills are crucial for deriving actionable insights from complex healthcare data and contributing to innovative solutions in a collaborative environment.

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

AspectInternship Optum Data ScienceData Analyst Intern
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 EnvironmentHealthcare-focused, collaborative teams, use of advanced analytics and machine learningBusiness-focused, data reporting, visualization, and basic analysis tasks
Employer & Industry UsageOptum/UnitedHealth Group, healthcare industryVarious industries including healthcare, finance, retail, often within corporate settings

Internship Optum Data Science focuses on applying advanced analytics and machine learning in healthcare, requiring a background in data science. In contrast, Data Analyst Internships emphasize data reporting and visualization skills across multiple industries. Both roles provide valuable experience but differ in technical depth and industry focus.

What are popular job titles related to Internship Optum Data Science jobs in Baltimore, MD?

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What job categories do people searching Internship Optum Data Science jobs in Baltimore, MD look for?

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What cities near Baltimore, MD are hiring for Internship Optum Data Science jobs?

Cities near Baltimore, MD with the most Internship Optum Data Science job openings:

Internship Optum Data Science jobs near you
Infographic showing various Internship Optum Data Science job openings in Baltimore, MD as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 8% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $46,511 per year, or $22.4 per hour.

Applied Data Scientist Internship (DoW SkillBridge)

IntelliGenesis

Columbia, MD • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 4 days ago

Job description

Applied Data Scientist Internship (DoW SkillBridge)
The DoW SkillBridge Program is an opportunity for service members too gain valuable civilian work experience through specific industry training, apprenticeships or internships during the last 180 days of military service. DoW SkillBridge connects transitioning service members with industry partners in real-world job experiences. Service members participating in DoW SkillBridge programs continue receiving their military compensation and benefits, while industry partners provide the civilian training and work experience. More information can be found here: https://skillbridge.osd.mil/index.htm
 

Eligibility Requirements:

  • Meet all DoW SkillBridge qualifications set forth in DODI 1322.29
  • Served at least 180 days on active duty
  • Within 180 days of separation or retirement
  • Will receive an honorable discharge
  • Has taken any service TAPS/TGPS
  • Has attended or participated in an ethics brief within the last 12 months
  • Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship

Duration:

  • 90-180 days

Requirements:

  • Must be a U.S. Citizen
  • Active TS/SCI clearance with polygraph required
  • Must be able to report daily to Columbia, MD office
  • Minimum of six (6) years of experience performing data-analysis on collected information to pinpoint unique insight and intelligence opportunities within the data
  • Experience within at least two (2) of the following skill areas: 
    • Mathematics/Statistics
    • Computer Science
    • Scripting
    • Cloud Computing
    • Data Mining, Metadata Analysis or Machine Learning
    • Artificial Intelligence
    • Data Visualization or Data Automation. 
    • Data science
    • Advanced analytical algorithms
    • Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
    • Data management (e.g., data cleaning and transformation)
    • Data modeling and assessment
    • Artificial intelligence
    • Software engineering
  • Experience constructing and performing complex database search queries 
  • Experience/knowledge of computer science concepts

Desired Skills:

  • Ideal Candidates would be from one of the following Military Occupational Skill Communities:
    • Air Force – (1N4)
    • Marine – (2611, 2629)
    • Army – (35N, 352N, 17C, 170A)
    • Navy
      • CTR (C18A/9147, C19A/9149)
      • CTN (H11A/9319, H12A/9318, H13A/9308, H14A/9326, H15A/9327, H16A/9328, H33A, H34A)
  • Experience or familiarity with data analytics and/or the following advanced scripting languages and tools:
    • Python,
    • SQL
    • Jupyter
    • Pig
    • ELK Stack
    • Splunk
    • PowerBI
    • Jupyter Notebooks

_____________________________________________________________________________________________________

Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.

Our compensation includes other indirect financial components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.

_____________________________________________________________________________________________________

IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.

IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

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