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Internship Optum Data Science Jobs in Ohio (NOW HIRING)

Siemens

$22 - $24/hr

Data Science or Management Information Systems preferred * Education: Current undergraduate student ... This internship/co-op is a structured experiential learning program for individuals currently ...

New

Battelle

Cyber Research Scientist (Early Career)

Columbus, OH · On-site

$112K - $138K/yr

... Data Science, or a related technical field * 0-2 years of experience in cybersecurity, OSINT research, cyber threat intelligence, or related analytical or technical roles; internships, research ...

Siemens

$22 - $24/hr

Data Science or Management Information Systems preferred * Education: Current undergraduate student ... This internship/co-op is a structured experiential learning program for individuals currently ...

Siemens

$22 - $24/hr

Data Science or Management Information Systems preferred * Education: Current undergraduate student ... This internship/co-op is a structured experiential learning program for individuals currently ...

New

Siemens

$22 - $24/hr

Data Science or Management Information Systems preferred * Education: Current undergraduate student ... This internship/co-op is a structured experiential learning program for individuals currently ...

New

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All JobsOptum Data Science JobsInternship Optum Data Science JobsInternship Optum Data Science Jobs in Ohio

Internship Optum Data Science information

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 the most commonly searched types of Optum Data Science jobs in Ohio?

The most popular types of Optum Data Science jobs in Ohio are:

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For Internship Optum Data Science jobs in Ohio, the most frequently searched job titles are:

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What cities in Ohio are hiring for Internship Optum Data Science jobs?

Cities in Ohio with the most Internship Optum Data Science job openings:

Internship Optum Data Science jobs near you

Data Platform Engineer

JACK Cleveland Casino LLC

Cleveland, OH

$111K - $133K/yr

Full-time

Posted 2 days ago

New

Job description

You will have the opportunity to work across several areas of data engineering rather than being limited to one narrow specialty. This may include data integration, pipeline development, data modeling, quality monitoring, documentation, reporting support, and architecture discovery. We are more interested in how you approach problems than whether you have already used every technology in our environment. The right person is dependable, asks thoughtful questions, follows work through to completion, and knows how to use modern AI development tools responsibly and effectively.

Essential Functions

  • Build, maintain, and improve pipelines that move data between operational systems, databases, warehouses, and reporting tools.
  • Help document our existing data environment, including data sources, integrations, transformations, storage, reporting dependencies, and access controls.
  • Support an audit of the current data architecture by investigating how systems connect and identifying potential reliability, scalability, data-quality, security, or maintainability concerns.
  • Work with more experienced team members and business stakeholders to evaluate and prioritize improvements.
  • Develop and maintain reusable data models for reporting, analytics, and operational use.
  • Add testing, monitoring, alerting, logging, and documentation to important data workflows.
  • Investigate failed jobs, inconsistent metrics, and other data issues through structured root-cause analysis.
  • Write readable, maintainable code using source control, code review, automated testing, and repeatable deployment practices.
  • Translate business needs into practical technical solutions with guidance from internal stakeholders.
  • Use AI-assisted development tools to accelerate research, coding, testing, documentation, and troubleshooting.
  • Review and validate AI-generated work rather than accepting it without verification.
  • Learn unfamiliar systems and technologies as needed and share what you discover with the team.

Knowledge, Skills & Abilities

  • Strong foundational SQL skills and experience working with relational data.
  • Working knowledge of Python, R, or another language used for data processing and automation.
  • Some experience building, modifying, or supporting ETL/ELT pipelines.
  • Familiarity with databases, data warehouses, APIs, scheduled jobs, or cloud-based data services.
  • Basic experience with Git and modern software-development practices.
  • An ability to investigate unfamiliar problems, test assumptions, and communicate findings clearly.
  • A dependable approach to execution, documentation, and follow-through.
  • Genuine curiosity and a willingness to learn technologies outside your current experience.
  • Practical experience using AI coding assistants or language models as part of a development workflow.
  • Good judgment about validating AI-generated code and protecting confidential or sensitive company information.

Education and Experience

  • Bachelor’s degree in Computer/Data Science or Analytics. In lieu of a degree, comparable professional experience in this discipline.
  • Approximately 1-3 years of relevant professional experience in data engineering, software development, analytics engineering, database development, or a related area.
  • Equivalent hands-on experience through internships, substantial projects, certifications, or other demonstrated work will also be considered.

Additional Preferred Experience

  • Cloud platforms such as Azure, AWS, or Google Cloud.
  • Data platforms such as Snowflake, Databricks, BigQuery, Redshift, Microsoft Fabric, or Synapse.
  • Transformation or orchestration tools such as dbt, Airflow, Dagster, Prefect, or Azure Data Factory.
  • Business intelligence tools such as Power BI, Tableau, or Looker.
  • CI/CD, infrastructure as code, containers, or automated deployment processes.
  • Data quality, governance, lineage, cataloging, privacy, or access management.
  • Supporting or documenting an existing data architecture.

Required Certification/License

  • Ability to obtain an OCCC Gaming License, OCCC Sports Gaming License, and an OLC Gaming License