Data Science Intern Review
by Warner Bros. Discovery
Rating
-
Skills
5.0
-
Responsibilities
5.0
-
Support & Guidance
5.0
-
Culture
5.0
-
Your Impressions
5.0
- 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 Warner Bros. Discovery
- 7. Would you recommend Warner Bros. Discovery to a friend?
- 8. What advice would you give to others applying to Warner Bros. Discovery
Overview
Data analytics and exploration. Building machine learning modules and refreshing modules for better performance. Communicating data science toolkit insights and processes to technical and non-technical teams. Building toolkits with Natural Language Processing and Neural Networks.
Skills
I developed skills in Machine Learning model building and deployment, building data science tools which employs the benefits of machine learning, natural language processing, computer vision and time series analysis & forecasting. I build communication skills through presentations about insights from projects and data science tools. I build extensive knowledge in python, R and SQL programming through using it for specific projects throughout my placement. I developed skills in understanding the business and its data.
Responsibilities
Yes, I was introduced to projects real world problems during my first week which helped me start on a good foot towards better understanding the company's business and how to better use the data to answer interesting questions whiles finding new questions to which the answers provided more insights. There was always new projects to be worked on which kept me engaged and learning something new every week.
Support & Guidance
I received guidance and support every week, there were brainstorming sessions and data science community meetings which always provided platforms for anyone to bring forth any issue they may have with a project, code or anything related to data science.
Culture
Everyone at WarnerMedia was welcoming and readily available to provide any help you may need regarding projects and more.
Your Impressions
I got the chance to work on projects that were used by other teams and were highly appreciated as it added a way for more insights to be drawn from data. Being a huge movie and comic book fan, working at WarnerMedia is the closest I've ever felt to my favourite tv shows, movies and characters that I've always loved. There were so many opportunities to learn and build my skills as well as socialising!
Yes
Apart from knowing the things or having the basics for positions you're applying for, it's best to develop a sense of readiness to learn. That will go a long way to help.
Details
Placement (10 Months+)
Science
London
February 2021
