FAQs
What is the duration of the Data Science Intern position?
The Data Science Intern position is for the Summer of 2025.
What qualifications are required to apply for this internship?
Applicants must be pursuing a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a similar quantitative field, with a minimum cumulative GPA of 2.75.
What are the main responsibilities of the Data Science Intern?
The main responsibilities include providing reports and advanced analytics, mining and analyzing data, developing custom data models, using predictive modeling, and coordinating with different functional teams to implement models and monitor outcomes.
What programming languages and tools should applicants be familiar with?
Applicants should have knowledge of Python, SQL, and Spark for manipulating data and drawing insights from large datasets.
Are there any preferred qualifications for this internship?
Yes, preferred qualifications include basic knowledge of machine learning techniques, statistical concepts, strong problem-solving skills, excellent communication skills, and a drive to learn new technologies.
Is prior work experience required for this internship?
No prior work experience is explicitly required, but relevant skills and knowledge in data science are preferred.
What qualities do you look for in an intern?
We look for determined individuals who deliver high-quality work, have a positive attitude, are strong problem solvers, and can prioritize critical tasks effectively.
Will the intern be working with other teams in the organization?
Yes, the intern will coordinate with different functional teams to implement models and monitor their outcomes.
What is the company's vision for innovation?
Lenovo's vision is to deliver Smarter Technology for All and to build a more equitable, trustworthy, and smarter future for everyone, everywhere.
Is this position open to all students regardless of their background?
Yes, we are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment based on race, color, sex, age, religion, sexual orientation, gender identity, national origin, veteran status, or disability.