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- Tasks: Work on real client projects in data analytics and AI, gaining hands-on experience.
- Company: Leading consulting firm with a focus on innovation and teamwork.
- Benefits: Earn £28,860 salary, enjoy hybrid working, and gain valuable skills.
- Why this job: Kickstart your career in data science while learning from industry experts.
- Qualifications: Passion for data and willingness to learn; no prior experience required.
- Other info: Dynamic team environment with opportunities for growth and development.
The predicted salary is between 800 - 1400 £ per month.
A leading consulting firm is offering a Data Science Apprenticeship in Greater London. This role provides the opportunity to work on real client projects, gaining hands-on experience in data analytics, artificial intelligence, and various programming skills. You will be part of a dynamic team, learning from industry experts and developing your analytical skills while earning a salary of £28,860. The position starts in September 2026 and includes hybrid working options.
Data Science Apprentice — Hybrid, Degree Upon Completion employer: Astro Studios, Inc.
Contact Detail:
Astro Studios, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Apprentice — Hybrid, Degree Upon Completion
✨Tip Number 1
Network like a pro! Reach out to current or former apprentices in data science on LinkedIn. Ask them about their experiences and any tips they might have for landing the role.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Practice common data science problems and be ready to discuss your thought process. We want you to shine!
✨Tip Number 3
Showcase your passion for data! Create a portfolio of projects, even if they're personal ones. This will demonstrate your skills and enthusiasm to potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Science Apprentice — Hybrid, Degree Upon Completion
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that are relevant to the Data Science Apprenticeship. Highlight any projects or coursework related to data analytics, AI, or programming to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share why you're passionate about data science and how this apprenticeship aligns with your career goals. Be genuine and let your personality come through.
Showcase Your Skills: If you have any relevant projects or experiences, don’t hesitate to include them in your application. Whether it's a personal project or coursework, we want to see what you've done and how it relates to the role!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success. It’s straightforward and ensures your application gets to the right people quickly!
How to prepare for a job interview at Astro Studios, Inc.
✨Know Your Data Science Basics
Brush up on your fundamental data science concepts, including statistics, machine learning, and programming languages like Python or R. Being able to discuss these topics confidently will show the interviewers that you have a solid foundation.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, whether in school or on your own. Highlight your role, the tools you used, and the outcomes. This practical experience can set you apart from other candidates.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the apprenticeship, the team you'll be working with, and the types of projects you'll tackle. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
✨Practice Problem-Solving
Expect some technical questions or case studies during the interview. Practice solving data-related problems beforehand, as this will help you think on your feet and demonstrate your analytical skills effectively.
