FAQs
What is the job title for this position?
The job title for this position is Data Analytics Intern.
Where is the internship located?
The internship is located in Louisville, KY.
What are the main responsibilities of the Data Analytics Intern?
The main responsibilities include performing exploratory data analysis, designing optimization techniques, developing simulation tools for machine learning models, collaborating with business teams, and working with cutting-edge technologies in areas like Natural Language Processing and Reinforcement Learning.
What qualifications are required for this internship?
Candidates should be pursuing an undergraduate or graduate degree in computer science, mathematics, physics, engineering, ML/AI, or equivalent. An interest in data analytics and machine learning is also necessary, along with programming expertise in languages such as Python, SQL, or R.
Is prior work experience required for this internship?
No prior work experience is specifically required, but a strong interest in learning about data analytics, data science, and machine learning is essential.
What skills are preferred for candidates applying for this role?
Preferred skills include programming in Python, SQL, R, MATLAB, or Octave, an interest in Natural Language Processing and Deep Learning, strong organizational skills, attention to detail, and the ability to work independently and as part of a team.
Will this internship offer any form of job sponsorship?
No, this role is not sponsorship eligible now or in the future.
How can candidates apply for this position?
Candidates must submit an online application to be considered for this position.
What does Schneider Electric value in its company culture?
Schneider Electric values inclusion, mastery, purpose, action, curiosity, and teamwork as part of its culture.
Is Schneider Electric an equal opportunity employer?
Yes, Schneider Electric is committed to providing equal employment and advancement opportunities to all qualified individuals regardless of various characteristics, ensuring a diverse and inclusive workplace.