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 (1216 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

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

• Currently pursuing a graduate degree (Masters 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 youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were 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 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.