Perform exploratory data analysis (EDA) and data visualization to uncover trends and patterns in data.
Design and develop optimization techniques and tools to identify trends in complex, large, structured, and unstructured data sets.
Design and develop simulation tools for training and testing ML, deep learning, and AI models.
Collaborate with other business team resources to identify, develop, test, and new ideas.
Work with cutting-edge technologies in ML subfields such as Natural Language Processing (NLP), Reinforcement Learning (RL), and agentic AI.

In the process of completing an undergraduate or graduate degree in computer science, mathematics, physics, engineering, ML/AI, or equivalent.
Have an interest in learning about data analytics, data science and machine learning.
A “can-do” attitude and the ability to work both independently and within a small group.
Programming expertise in languages such as Python, SQL, R, MATLAB, Octave, etc.
Interested in Natural Language Processing, Deep Learning, Transfer Learning, etc.
Interested in building customer recommendations and analysis of web traffic data.
Analytical self-starter with strong attention to detail and desire to learn new things.
Strong organizational and problem-solving skills with the ability to work on multiple complex projects in diverse areas, versatile and capable within multiple disciplines.

Data Analytics Intern

Key skills