Data Science Intern

Position Description:
The Data Science intern will collaborate with their team and engage with stakeholders from various business functions to implement AI-driven solutions. As a Data Science intern, you will:

• Engage in a variety of artificial intelligence (AI), machine learning (ML), and generative AI (Gen-AI) projects from requirements to POC, prototype, and MVP development.
• Employ various algorithms and ML/DL techniques customized for particular business use cases.
• Collaborate with senior Data Scientists and ML Engineering along the key stages of the AI/ML lifecycle - data acquisition, feature engineering, model development and training, model evaluation and tuning, model deployment and monitoring.
• Document AI/ML model development processes and methodologies.
• Gain knowledge in the space and satellite industry while increasing exposure working with other business functions to ensure a full understanding of the company structure and strategy.
• Present AI/ML project findings and recommended course of action to leadership and key stakeholders.

Job Responsibilities:
The Data Science intern will have the opportunity to:

• Design, develop and deploy AI-powered solutions to optimize Intelsat's network, increase operational efficiencies, and improve end-user's quality of experience.
• Gain a better understanding on AI/ML solution implementation and model performance monitoring.
• Conduct research on AI trends, technologies, and techniques. Prototype 1 new technology.
• Collaborate with stakeholders to identify opportunities for AI implementation and optimization.
• Learn from senior staff - business strategy, business processes, AI/ML approaches/techniques, explainable AI, data storytelling, influencing others.

Preferred Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or equivalent quantitative discipline with emphasis on AI/ML.
• Familiarity with supervised, unsupervised, reinforcement learning and related ML techniques (regression, classification, clustering) to support model solution development - prediction, optimization, recommendation. Basic knowledge of other AI sub-domains e.g., deep learning (ANN), NLP, Gen-AI / LLMs, a plus.
• Familiarity with ML frameworks and libraries (PyCaret, Scikit-learn, PyTorch, Tensorflow/Keras, NumPy, Pandas) and range of functions and algorithms they provide to train/test models.
• Experience in programming, analytical, and visualization tools to extract, transform, summarize, and visualize data that aligns with the objectives of an AI or data science project:
  • Python (intermediate)
  • SQL (intermediate)
  • MS Excel (intermediate)
  • Tableau, PowerBI (familiar)
  • Jupyter or other Python-based data viz libraries (familiar)
• Experience utilizing relational databases and data lakes working with a variety of data structures, formats, and types. Use of cloud-based platforms i.e., AWS, Snowflake, Azure, GCP, a plus.
• Analytical thinking, collaborative mindset, strong communication, and time management skills

12 Week Schedule:

• Week 1-3: Business Foundation and Data Understanding
  • On-boarding and training
  • Data discovery, acquisition, exploratory data analysis (EDA)
  • Data pre-processing, feature engineering
• Week 4-6: Model Design and Development
  • Research algorithms and ML techniques that match use case
  • Implement baseline models
  • Train models, fine-tune hyperparameters
  • Evaluate model performance; conduct cross-validation
• Week 7-10: Advanced Modeling and Analysis
  • Analyze feature importance and iterate feature selection
  • Refine models, consider alternatives, compare vs. baseline
  • Optimize model performance
  • Create documentation (architecture, features, performance)
• Week 10-12: Deployment, Monitoring, and Reporting
  • Collaborate with ML Engineering / CloudOps on deployment environment
  • Deploy model into production, monitor performance
  • Finalize comprehensive report of the project
  • Present findings to stakeholders

Minimum Requirements:

• Eligible candidates must be one of the following:
  • Part-time or full-time students who have completed 24+ credit hours (rising sophomores/juniors/seniors) and are enrolled in an undergraduate program at an accredited college or university; Part-time or full-time students enrolled in a graduate program at an accredited college or university.
  • May 2025 graduate
• Ability to exercise sound judgment, professionalism, and maturity in the workplace
• Effective communicator in both written and spoken English
• Good oral and written communication skills
• Proficiency in use of MSOffice Suite
• 3.0 GPA or above preferred

Summer Intern Program Description:

• Paid; 12 weeks starting on Monday, May 26, 2025, through August 15, 2025
• Schedule - 40 hours/week, Monday- Friday, 9 - 5 or regular core hours
• Hybrid environment (minimum 3 days in Chicago location)

About Us As the foundational architects of satellite technology, Intelsat applies our expertise to develop breakthrough solutions that advance and secure boundless applications for our customers and partners.
At Intelsat, we increase human potential by connecting people, communities, businesses, and governments. Our employees enjoy a casual and collaborative environment, where we celebrate professional excellence in pursuit of the corporate mission. We hire skilled professionals who work in various areas such as: satellite engineering, network operations, cloud architecture, accounting, sales, legal, and more. Browse our current job openings or create a professional profile to stay informed about opportunities that match your interests and expertise.
Intelsat is subject to regulation by certain U.S. Government national security agencies, which require that we collect and share certain Personally Identifiable Information ("PII") with the U.S. Government to obtain permission to employ non-U.S. persons in certain roles. If selected for a role at Intelsat, we may collect and share your PII for these purposes.
Intelsat is an Equal Opportunity/Affirmative Action Employer including Vets and Disabled