Smith+Nephew seeks an AI CoE Data Science Intern to work on early innovation efforts related to Robotics, contributing to proof-of-concept projects using data to enhance S+N products and help patients live a Life Unlimited.
Requirements
- Experience using machine learning tools in an academic setting.
- Strong coding skills in Python, R, MATLAB, or similar data science coding languages.
- Familiarity with machine learning libraries such as Scikit-learn, TensorFlow, NumPy, Pandas, PyTorch or Keras.
- Strong understanding of data analytic techniques and the ability to implement these approaches.
Responsibilities
- Researching the latest generation of AI models
- obtaining and cleaning training data sets
- developing feature encodings
- coding and implementation of machine learning methods
- analyzing and validating models with statistical techniques
- developing interfaces for exploring and utilizing AI
Other
- Enrolled in a bachelor’s, master’s, or doctoral program for a relevant engineering discipline (i.e. Data Science, Mathematics, Artificial Intelligence, Computer Science, Computer Engineering).
- Passionate about modeling excellence in the discipline of data analysis.
- Works very well in a collaborative, fast-paced, multidisciplinary environment, and thrives under pressure.
- Can work very well with geographically distributed teams and can work with teams from a very diverse background.
- Excellent written and verbal communication skills
