DTS Data Science Summer Intern Review

by Centrica

Best Student Employer

Rating

4.7/5
  • Skills
    4.5
  • Responsibilities
    4.0
  • Support & Guidance
    5.0
  • Culture
    4.8
  • Your Impressions
    5.0

    Overview

  • 1. Please give an overview of your role and what this involves on a day-to-day basis.
  • I was working with the Data Science team working on a ML project. My day involved programming and researching my data, trying to implement my ML model and improve its metrics. Other activities involved the Charity Challenge, so we had a day of volunteering and several BBQs.


    Skills

  • 2. Have you learnt any new skills, or developed your existing skills?
  • Yes, I have significantly developed my technical skills in areas such as: EDA, ML modelling and theory, Data prep, SQL. I have also developed soft skills through interacting with my team, manager, and charity group. Soft skills such as: communication, teamwork, collaboration, agility, presenting skills, etc.


  • How would you rate the training provided during your experience?
  • 4/5

  • How would you rate your development of industry-specific skills during the experience?
  • 5/5

  • How would you rate your development of personal / soft skills during the experience?
  • 5/5

  • Please rate how these skills have helped you in your career development
  • 4/5

    Responsibilities

  • 3. Were you given much responsibility during your placement / internship?
  • I would say I was given a decent amount of responsibility. It was a fun challenge to work on the ML project by myself, if not a little daunting. I hope that the findings from my project will actually be used by my team at a later date but I'm not sure if that'll be the case. I suppose the answer to that is the answer to how much responsibility I was given.


  • Please rate how meaningful the work you were doing was
  • 4/5

    Support & Guidance

  • 4. How much support and guidance did you receive during your placement / internship?
  • I received an incredible amount of help in technical areas. My entire team was very knowledgeable and always happy to help and answer my questions. This lead to me learning a lot.


  • How would you rate the support and guidance from your line manager?
  • 5/5

  • How would you rate the support and guidance from the wider team?
  • 5/5

    Culture

  • 5. What was the company culture and general atmosphere like?
  • The culture and atmosphere was very friendly. Before coming I was scared of going into a corporate dynamic, but everyone I have interacted with has been super friendly. It has also been nice that I have felt equal to others despite being an intern.


  • How would you rate the inclusiveness of the culture?
  • 5/5

  • How would you rate the social opportunities?
  • 5/5

  • How would you rate the diversity initiatives?
  • 5/5

  • How would you rate the charity, sustainability and corporate social responsibility (CSR) initiatives?
  • 4/5

    Your Impressions

  • 6. To what extent did you enjoy your placement / internship?
  • I thoroughly enjoyed myself. My favourite aspect was certainly the technical aspects of my work and developing in these areas. The only part I found to be a little bit of a struggle was the charity challenge, I found that they placed a lot of pressure on us for this, and expected us to achieve quite a lot in such a short time frame.


  • Please rate your level of enjoyment on your placement / internship
  • 5/5

  • Please rate how your experience met your expectations
  • 5/5

  • Please rate the future employment prospects at Centrica
  • 5/5

  • 7. Would you recommend Centrica to a friend?
  • Yes


  • 8. What advice would you give to others applying to Centrica
  • I would say that there is no need to be nervous, everyone is friendly and approachable. I would also say try and make the most of the opportunities available for the 9 weeks, and if possible try and find out what you are going to be up to before your first day, so you can have a "warm start" to work.


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Details

Internship (1 Month+)

Data Science

South East

August 2023


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