RTX is a leader in aerospace and defense, offering internships that provide a strong foundation for tackling complex problems. The Data Science Intern will collaborate with internal stakeholders to enable data-driven decision-making and utilize programming skills to analyze data and extract insights.
Responsibilities
Collaborate with internal stakeholders to understand their goals and objectives, enabling data-driven decision-making across the organization
Utilize programming skills to explore and analyze data
Identify patterns, trends, nuances, and potential data quality issues within complex datasets
Apply supervised and unsupervised machine learning techniques to extract insights from data
Communicate analysis findings and conclusions effectively to both technical and non-technical stakeholders
Integrate datasets from diverse business sources into a unified format for analysis
Develop custom queries to address ad-hoc and ongoing customer analytical requests
Qualification
Required
Pursuing a bachelor's or graduate degree in a quantitative field (e.g., Data Science, Computer Science, Mathematics) and must not graduate prior to September 2026
Proficient in SQL, Python, and Pandas, with experience using Jupyter Notebooks
Skilled in creating visualizations with Python libraries (e.g., matplotlib, seaborn, plotly)
Familiar with statistical principles (e.g., hypothesis testing), the machine learning model lifecycle, and ML libraries (e.g., XGBoost, Sklearn)
Preferred
Experience programmatically interfacing with large language models (LLMs)
Experience working with Spark or Databricks
Experience creating visualizations in Tableau
Benefits
Medical
Dental
Vision
Life insurance
Short-term disability
Long-term disability
401(k) match
Flexible spending accounts
Flexible work schedules
Employee assistance program
Employee Scholar Program
Parental leave
Paid time off
Holidays
RTX is comprised of three market-leading businesses – Collins Aerospace, Pratt & Whitney and Raytheon – working as one to answer the biggest questions and solve the hardest problems in aerospace and defense.
