Data Science Intern Review
by BMW Group
Rating
-
Skills
3.8
-
Responsibilities
3.0
-
Support & Guidance
4.0
-
Culture
3.3
-
Your Impressions
3.3
- 1. Please give an overview of your role and what this involves on a day-to-day basis.
- 2. Have you learnt any new skills, or developed your existing skills?
- How would you rate the training provided during your experience?
- How would you rate your development of industry-specific skills during the experience?
- How would you rate your development of personal / soft skills during the experience?
- Please rate how these skills have helped you in your career development
- 3. Were you given much responsibility during your placement / internship?
- Please rate how meaningful the work you were doing was
- 4. How much support and guidance did you receive during your placement / internship?
- How would you rate the support and guidance from your line manager?
- How would you rate the support and guidance from the wider team?
- 5. What was the company culture and general atmosphere like?
- How would you rate the inclusiveness of the culture?
- How would you rate the social opportunities?
- How would you rate the diversity initiatives?
- How would you rate the charity, sustainability and corporate social responsibility (CSR) initiatives?
- 6. To what extent did you enjoy your placement / internship?
- Please rate your level of enjoyment on your placement / internship
- Please rate how your experience met your expectations
- Please rate the future employment prospects at BMW Group
- 7. Would you recommend BMW Group to a friend?
- 8. What advice would you give to others applying to BMW Group
Overview
Check on the regular data science process, answer data related questions across the business. Explore possibilities of data science use cases with different departments. Perform analysis and visualisation to help the business make decisions. Predictive modelling to unlock insights.
Skills
Learnt Tableau, Salesforce, AWS machine learning environment. Became better at making presentations. Improved Python and excel skills.
Responsibilities
Yes I was trusted right from day one as any other employee.
Support & Guidance
Had a few catch-ups with my manger to discuss my progress and also received feedback on university forms on my performance.
Culture
Due to covid 19 it was quite slow as most people were working from home and there were restrictions at work. We had a few work socials. Work life balance is great. People are friendly and willing to help.
Your Impressions
Learnt a lot of new things and met great people, had good product experiences.
Yes
A great place to start, very unique and iconic.
Details
Placement (10 Months+)
Computer Science, Data Science
South East
July 2022
