Intern AI Center of Excellence Data Science

Join the Smith+Nephew AI Center of Excellence and help explore how artificial intelligence and data science can support early innovation in Robotics and Enabling Technology. In this internship, you will contribute to cutting edge proof of concept projects, create and test rapid prototypes, and collaborate with a multidisciplinary global team to help deliver meaningful enhancements to our products. ## What will you be doing? - Research the latest generation of artificial intelligence models and explore their potential applications. - Obtain, prepare, and clean training data sets. - Develop feature encodings and implement machine learning methods. - Analyze and validate models using statistical techniques. - Create rapid proofs of concept and prototypes using data. - Develop interfaces for exploring and using artificial intelligence solutions. - Work independently while collaborating closely with colleagues across disciplines, locations, and backgrounds. Planned Start Date: May 2027 Program Length: 12 weeks Location: Pittsburgh, PA ## What will you need to be successful Education: - Currently enrolled in a bachelor’s, master’s, or doctoral program in Data Science, Mathematics, Artificial Intelligence, Computer Science, Computer Engineering, or another relevant engineering discipline. Experience: - No previous professional experience is required. Academic experience using machine learning tools is expected. Competencies: - Strong coding skills in Python, R, MATLAB, or a similar data science programming language. - Familiarity with machine learning libraries such as Scikit learn, TensorFlow, NumPy, Pandas, PyTorch, or Keras. - Strong understanding of data analytics techniques and the ability to implement analytical approaches. - Curiosity, analytical rigor, and a commitment to modeling excellence. - Ability to work independently and contribute effectively to a collaborative, fast paced, multidisciplinary environment. - Ability to collaborate with geographically distributed teams and colleagues from a range of backgrounds. - Excellent written and verbal communication skills.