Rating

10/10
  • 1. Please give an overview of your role and what this involves on a day-to-day basis:
  • Creating machine learning models, data handling and excel management. Creating dashboards for PowerBI analysis

    10/10

  • 2. Have you learnt any new skills or developed existing skills?
  • Developed python and coding skills, as well as general data analysis techniques and good practices

    10/10

  • 3. To what extent do you enjoy your programme?
  • Its enjoyable, the type of work I do relates well to my university which helps with applying the theory we are learning

    10/10

  • 4. How well organised/structured is your programme?
  • The program is well organised, there is sufficient time to complete University tasks/coursework alongside Unilever work

    10/10

  • 5. How much support do you receive from your employer?
  • Support is there if needed

    10/10

  • 6. How much support do you receive from your training provider when working towards your qualifications?
  • Support is there if needed

    10/10

  • 7. How well do you feel that your qualification (through your training provider) helps you to perform better in your role?
  • The topics we learn are very relatable to the tasks we complete in work, which helps a lot with learning since we can apply the theory and skills from lectures on real tasks

    10/10

  • 8. Are there extra-curricular activities to get involved in at your work? (For example, any social activities, sports teams, or even professional networking events.)
  • Yes there are plenty

    10/10

  • 9a. Would you recommend Unilever to a friend?
  • Yes


  • 9b. Why?
  • There is a lot of support with work tasks as well as University learning, which means you're not left in the dark if struggling and there is always someone to help. The work is interesting and helps slowly develop your skills


  • 10. What tips or advice would you give to others applying to Unilever?
  • Definitely apply, since there is something for everyone and a lot of room to develop personally and professionally at a steady pace


Details

Degree Apprenticeship

Data Analysis

Port Sunlight

April 2025


View More Reviews
Recruiting? See how we can help you