Data Science / Decision Science Intern

Description

General Program Information / Position Overview:

The Health Sector at Leidos is seeking a Data Science / Decision Science Intern (Health Data Intelligence) to support advanced analytics initiatives in a remote, U.S.-based environment. This role targets high-performing graduate-level candidates with demonstrated experience applying data science to real-world, decision-driven problems.

You will contribute to the development of scalable data products, reporting ecosystems, and decision-support frameworks built on standardized data sources. The role emphasizes applying advanced analytics, visualization, and emerging AI/ML techniques to generate a decision advantage across clinical, operational, and strategic domains.

This internship is structured as a full-time summer experience (12-16 weeks) with the potential to extend into a part-time role during the academic year.

Primary Responsibilities

• Perform data extraction, transformation, and preparation using Python, SQL, and standardized data sources

• Conduct exploratory data analysis (EDA) to identify trends, patterns, and data quality issues

• Apply statistical analysis and machine learning techniques (e.g., regression, classification, clustering) to generate insights and support decision-making

• Develop and operationalize scalable reporting frameworks and reusable data products aligned to standardized data models

• Design and deliver advanced dashboards and visualization solutions using Tableau, Power BI, Looker, or similar platforms

• Translate analytical outputs into decision-ready insights, including structured recommendations and trade-off analysis

• Collaborate with stakeholders to define requirements and deliver production-oriented analytical solutions

• Identify opportunities to improve data quality, standardization, and analytical efficiency

• Communicate findings through executive-ready visualizations, storytelling, and concise written deliverables

Basic Qualifications

• Bachelor's degree in a quantitative discipline (e.g., Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field)

• Currently pursuing a graduate degree (Master's or Ph.D. candidate) in a relevant quantitative or analytical field (required)

• Demonstrated, hands-on experience with Python and SQL for data analysis and manipulation

• Experience working with healthcare data (clinical, claims, public health, or operational datasets)

• Experience working in Jupyter notebooks or equivalent analytical environments

• Proven experience developing data visualizations and dashboards using Tableau, Power BI, Looker, or similar tools

• Demonstrated end-to-end project experience, including data ingestion, analysis, modeling, and presentation of results

• Strong foundation in statistics, data analysis, and structured problem-solving

• Experience applying machine learning techniques (e.g., regression, classification, clustering, or similar methods) in academic, research, or project settings

• Familiarity with AI-assisted analytical workflows (e.g., use of generative AI or automation to enhance coding, analysis, or insight generation)

• Ability to work independently on complex, ambiguous analytical problems and deliver high-quality outputs

• Strong written and verbal communication skills, including the ability to present findings to technical and non-technical audiences

• U.S. Citizenship preferred

Preferred Qualifications

• Prior internship, research, or project experience developing production-grade data products, analytical pipelines, or reporting systems

• Experience applying analytics in a decision science, business intelligence, or strategy-oriented context

• Experience working with cloud-based data platforms (e.g., AWS, Azure, GCP, Snowflake)

• Familiarity with data engineering concepts, including ETL pipelines, data modeling, and data standardization

• Familiarity with data governance, metadata management, or data quality frameworks

• Demonstrated ability to create executive-level dashboards and presentations that drive decision-making

• Portfolio, GitHub repository, or equivalent body of work demonstrating applied data science, analytics, or visualization projects

• Evidence of intellectual curiosity, initiative, and creativity in applying data to solve complex, real-world problems

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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