Data Analytics Intern
Schneider Electric is looking for a passionate, talented, and inventive Data Analyst or Data Scientist intern with a background in mathematics, computer science, engineering, or data analytics to help build industry-leading machine learning and data science tools in the energy and sustainability management industry. As a member of the Sustainability Business team, you will collaborate with technology and business teams to build new services and help our existing teams be more productive. You will be working with large sets of structured and unstructured data to solve real-world problems. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
There is one position available and the candidate must be in Louisville, KY (required).
What do you get to do in this position?
- 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) and Reinforcement Learning (RL).
This job might be for you if:
- You are in the process of completing an undergraduate or graduate degree in computer science, mathematics, physics, engineering, ML/AI, or equivalent.
- You 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.
Qualifications:
- Studying math, physics, engineering, econ, data science or computer science
- Currently enrolled in school with a graduation date of May 2023 or later
- Comfort with quantitative measuring
Let us learn about you! Apply today.
Why us?
Schneider Electric is leading the digital transformation of energy management and automation. Our technologies enable the world to use energy in a safe, efficient and sustainable manner. We strive to promote a global economy that is both ecologically viable and highly productive.