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- Tasks: Work on innovative data-driven projects and develop your technical skills in AI.
- Company: Leading consulting firm in Belfast with a focus on mentorship.
- Benefits: Competitive salary of £26,230, hybrid work model, and personal development opportunities.
- Why this job: Gain hands-on experience and tackle real client challenges while learning from experts.
- Qualifications: Passion for technology and analytics; no prior experience required.
- Other info: Start your career in September 2026 with excellent growth potential.
The predicted salary is between 800 - 1400 £ per month.
A leading consulting firm in Belfast is seeking a Data Science Apprentice to work on innovative data-driven projects and develop technical skills. The role includes hands-on experience in AI initiatives and direct mentorship by experienced professionals.
Successful applicants will have a passion for technology and analytics, with opportunities for personal development and exposure to real client challenges. This full-time apprenticeship offers a hybrid work model, with an annual salary of £26,230, starting in September 2026.
Hybrid Data Science Apprentice in Belfast employer: PA Consulting
Contact Detail:
PA Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Science Apprentice in Belfast
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm on LinkedIn or attend local tech meetups. Building connections can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your passion for data! When we get the chance to chat with recruiters or during interviews, share projects or experiences that highlight our love for technology and analytics.
✨Tip Number 3
Prepare for those technical questions! Brush up on your data science fundamentals and be ready to discuss how we can apply them in real-world scenarios. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can keep track of our application status easily!
We think you need these skills to ace Hybrid Data Science Apprentice in Belfast
Some tips for your application 🫡
Show Your Passion: Let us see your enthusiasm for technology and analytics right from the start. Share any relevant projects or experiences that highlight your interest in data science, as this will make your application stand out.
Tailor Your CV: Make sure your CV is tailored to the Data Science Apprentice role. Highlight any technical skills or coursework related to data analysis, AI, or programming. We want to see how your background aligns with our innovative projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this apprenticeship. Be genuine, express your career aspirations, and explain how this opportunity aligns with your goals. We love hearing your story!
Apply Through Our Website: Don’t forget to apply through our website! It’s the easiest way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at PA Consulting
✨Know Your Data Science Basics
Brush up on your fundamental data science concepts before the interview. Be ready to discuss topics like machine learning, data analysis, and AI initiatives. This shows your passion for technology and analytics, which is key for this role.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, whether in school or on your own. Highlight your hands-on experience with data-driven projects and how you approached problem-solving. This will demonstrate your practical skills and enthusiasm for the field.
✨Ask Insightful Questions
Come prepared with questions about the company’s data science initiatives and mentorship opportunities. This not only shows your interest but also helps you gauge if the apprenticeship aligns with your career goals. It’s a great way to engage with your interviewers!
✨Embrace the Hybrid Model
Since this role offers a hybrid work model, be ready to discuss how you can effectively work both remotely and in-person. Share your thoughts on balancing collaboration and independent work, as this will highlight your adaptability and readiness for the role.
