At a Glance
- Tasks: Gather and analyse data, build reports, and collaborate with developers on exciting projects.
- Company: Fast-growing insights and analytics organisation based in London.
- Benefits: Remote-first role with mentorship and career growth potential.
- Why this job: Kickstart your data science career while making a real impact.
- Qualifications: Degree in a related field and skills in Python, R, or SQL required.
- Other info: Six-month internship with potential for permanent position.
A fast-growing insights and analytics organisation in London seeks a Graduate Data Scientist / Junior Analyst to support its leaderboard analytics platform. You'll gather and analyze data, build reports, and collaborate with developers. This remote-first role offers mentorship and career growth potential in data science.
A degree in a related field and proficiency in Python, R, or SQL are required. The position is part of a six-month internship with the potential for permanence.
Graduate Data Scientist — Remote Internship with Mentorship employer: idibu
Contact Detail:
idibu Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Scientist — Remote Internship with Mentorship
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or through online forums. Engaging with others can lead to valuable insights and even job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python, R, or SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or mentors to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Graduate Data Scientist — Remote Internship with Mentorship
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in Python, R, or SQL. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data science and how you can contribute to our leaderboard analytics platform. Keep it engaging and personal.
Showcase Your Analytical Skills: In your application, include examples of how you've gathered and analysed data in the past. We love seeing real-world applications of your skills, so share any reports or insights you've created!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at idibu
✨Know Your Data Tools
Make sure you brush up on your skills in Python, R, and SQL before the interview. Be ready to discuss how you've used these tools in your projects or studies, as this will show your practical knowledge and readiness for the role.
✨Showcase Your Analytical Mindset
Prepare to talk about a specific project where you gathered and analysed data. Highlight your thought process, the challenges you faced, and how you overcame them. This will demonstrate your analytical skills and problem-solving abilities.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company's analytics platform and the mentorship opportunities available. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
✨Emphasise Collaboration
Since you'll be working with developers, be ready to discuss any past experiences where you collaborated with others. Highlight your communication skills and how you can contribute to a team environment, which is crucial for success in this internship.