Data Science / Decision Science Intern

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.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline only and 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.