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You have been redirected to RTX’s career page as we have recently transitioned from RTX to become a standalone company, which provides us with greater autonomy and opportunities for growth. As a prospective employee of Nightwing, you’ll have the chance to contribute to our continued success and shape the future of our cybersecurity, intelligence, and services offerings.

The Nightwing business provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers’ most demanding challenges.

Summary:
We are seeking a highly motivated and talented Data Science Intern with a strong interest in AI/ML and advanced analytics to join our corporate team. The ideal candidate will be passionate about developing and applying data science techniques to solve complex business problems. This role will involve hands-on experience in machine learning, statistical analysis, and data-driven decision-making to help shape our data strategy and drive insights from large, diverse datasets.

Responsibilities:

• Assist in the development and implementation of AI/ML models to solve business challenges and enhance decision-making processes
• Work with large datasets to perform data exploration, preprocessing, and feature engineering
  Develop and test predictive and prescriptive analytics models using supervised and unsupervised machine learning techniques
• Research and apply the latest AI/ML methodologies and tools to improve model performance and accuracy
• Collaborate with cross-functional teams, including data engineers, business analysts, and IT, to implement AI-driven solutions
• Contribute to data visualization and storytelling to present findings and recommendations to stakeholders
• Assist in the deployment of models into production and monitor model performance

Required Qualifications:

• Currently enrolled in a bachelors program in Computer Science, Computer Engineering, Statistics, Applied Mathematics, or a related field
• GPA of 3.0+ in a 4.0 grade scale
• Strong interest in AI/ML, data science, and advanced analytics
• Familiarity with statistical methods, machine learning algorithms, and data mining techniques
• Proficiency in Python or R, with experience using libraries like scikit-learn, TensorFlow, or PyTorch
• Experience in data wrangling, data visualization, and exploratory data analysis (EDA)
• Excellent problem-solving, analytical, and critical thinking skills
• Strong communication skills with the ability to present technical concepts to non-technical stakeholders

Preferred Qualifications:

• Experience with cloud-based platforms like AWS, Google Cloud, or Azure for model training and deployment
• Familiarity with big data technologies such as Apache Spark, Iceberg or distributed computing frameworks
• Experience in developing, fine-tuning, and deploying machine learning models in production environments
• Knowledge of natural language processing (NLP) or computer vision is a plus
• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib/Seaborn for storytelling and insights presentation

Security Clearance: Although a clearance is not required at the time of application, the candidate must be willing to be submitted for a clearance and is expected to successfully obtain and maintain one.

No relocation assistance available.

NWIntern2025

Previously part of a leading Fortune 100 company and headquartered in Dulles, VA; Nightwing became independent in 2024 but continues to support the nation’s most mission impactful initiatives.

When we formed Nightwing, we brought a deep set of credentials and an unfaltering commitment to the mission. For over four decades, our team has been providing some of the world’s most technically advanced full-spectrum cyber, data operations, systems integration and intelligence support services to the U.S. government on its most important missions.

At Nightwing, we value collaboration and teamwork. You’ll have the opportunity to work alongside talented individuals who are passionate about what they do. Together, we’ll leverage our collective expertise to drive innovation, solve complex problems, and deliver exceptional results for our clients.

Thank you for considering joining us as we embark on this new journey and shape the future of cybersecurity and intelligence together as part of the Nightwing team

The salary range for this role is - . The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, 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, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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