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Internship Optum Data Science Jobs in Washington

Yello and WayUp Top 100 Internship Programs * Computerworld Best Places to Work in IT * Newsweek ... Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or ...

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Experience in data science, analytics, or a related technical discipline (academic research and internships may be considered) * Proficiency in programming languages such as Python or R * Experience ...

Interns gain hands-on experience in biomedical informatics, data science, AI, clinical research, cybersecurity, and business operations-working alongside experts who support the NIH, FDA, and other ...

For many, it started with an internship. As an IBM intern, you won't just gain experience - you'll ... Receive mentorship from diverse professionals in science engineering and consulting applying ...

For many, it started with an internship. As an IBM intern, you won't just gain experience - you'll ... Receive mentorship from diverse professionals in science engineering and consulting applying ...

Showing results 41-60

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 Washington?

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

What are popular job titles related to Internship Optum Data Science jobs in Washington?

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

Senior Computational Social Scientist

Protagonist

Washington, DC • On-site

$82K - $129K/yr

Full-time

Re-posted 18 days ago


Job description

Washington, DC | Full-Time | Hybrid

Job Description

In this role, you'll apply data science and analytic methods directly to projects, turning large, often unstructured datasets into findings that teams and clients can act on. Our work lives at the intersection of data science and social science: we pair computational techniques with an understanding of the social, political, and information dynamics behind the data. This is a multi-hatted role. You'll help lead our internal data efforts, stay hands-on with analysis and client delivery, and partner with the product team to shape Narrative Analytics, the platform our analysts use every day. Whether you come from a social science research background, a product-and-analytics path, or a more technical track, what matters most is that you can take messy, real-world data and make it useful to our internal team and end customers.

Responsibilities
  • Lead our data efforts
    • Guide internal data science work: shape the approach, hold quality high, and keep analysis reproducible and defensible.
    • Design and apply classification models, clustering, and other ML/AI approaches to surface insight from large, unstructured datasets.
    • Translate qualitative research questions into structured analytical workflows.
  • Build AI-powered analytical workflows
    • Design prompts, LLM chains, and agentic workflows that automate classification, thematic coding, entity extraction, and summarization at scale.
    • Build and evaluate repeatable analytical products with real quality controls and human-in-the-loop checks.
    • Experiment with emerging techniques (RAG, multi-step reasoning, tool-using agents) to extend what we can deliver.
  • Make data usable and clear
    • Handle complex cleaning, transformation, and wrangling so the data stays trustworthy.
    • Build dashboards and visualizations (Tableau, Superset, or similar) that make insight clear to clients and colleagues alike.
    • Turn findings into actionable recommendations and present them directly to clients with clarity and confidence.
  • Shape the product and work across streams
    • Work hand in hand with the product team to shape Narrative Analytics around what users actually need, bringing the analyst's and client's perspective into product design.
    • Collaborate across analytics, product, and client teams so the work fits together and reaches the people who depend on it.
    • Mentor junior analysts and interns and contribute technical sections to proposals and white papers.
Requirements
  • Must be eligible to work on US Government contracts.
  • A degree in a quantitative or analytical field (data science, computer science, statistics, computational social science, political science, economics, communications, or a related discipline), or equivalent hands-on experience.
  • 5+ years of relevant experience with a bachelor's (or 3+ with an advanced degree), including at least 2 years focused on data science with a track record of real impact.
  • Hands-on experience working with text-as-data: media, social media, or open-source text corpora.
  • Working proficiency in Python and/or R, plus solid SQL for pulling, transforming, and validating data.
  • Familiarity with core NLP and ML methods (text classification, topic modeling, sentiment and stance detection, embeddings, transformers) and with applying LLMs in real workflows (prompt engineering, structured outputs, integration).
  • The ability to explain technical work to non-technical audiences and to thrive in a fast-paced, collaborative team.
Ideal Candidates
  • Existing security clearance (SECRET or higher) a plus
  • Experience designing structured content analysis or analytical frameworks for text data.
  • Experience in information environment assessment, strategic communication analysis, or media landscape monitoring.
  • Experience shaping analytical tools or platforms around real user needs.
  • Experience with computational social science methods (network analysis, narrative framing, document similarity) that go beyond keyword search.
  • Experience translating social science research questions into scalable computational approaches.
Additional Information

If you're passionate about technology and making an impact, apply today! Protagonist is dedicated to fostering a welcoming and innovative environment where everyone's voice can make a difference.

Protagonist is an Equal Opportunity Employer. 

Salary Range: $82,216-$129,885 based on education and level of relevant experience.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.