Data Scientist Intern
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Description Are you passionate about solving complex problems using AI and Machine Learning? Are you excited to build cutting-edge technology and contribute to innovative research that drives real-world impact? Leidos is looking for Data Scientist Intern to join our team and contribute to Research and Development efforts spanning areas such as Natural Language Processing, Reinforcement Learning, AI Ethics, and Predictive Analytics. This is an excellent opportunity to collaborate with a multidisciplinary team of experts and make meaningful contributions to the field of AI/ML. . We are looking for someone who is intellectually adaptive, likes to collaborate, inquisitive, and capable of conducting original science. You will work closely with junior and senior research/data scientists with expertise in information retrieval, large language models, information science, artificial intelligence, and statistics. You should be strongly experienced in Python coding and research methodologies and have knowledge of commonly used ML libraries (SciKit-learn). Primary Responsibilities
Basic Qualifications
Preferred Qualifications
At Leidos, we don't want someone who "fits the mold"-we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, "what's next?" before the dust settles on "what's now." If you're already scheming step 20 while everyone else is still debating step 2... good. You'll fit right in. Original Posting:October 16, 2025For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $46,800.00 - $84,600.00 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. #Remote |