Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Collaborate on innovative AI/ML projects and implement cutting-edge solutions.
- Company: Join Nokia, a leader in wireless mobility networks.
- Benefits: Personal development opportunities in a dynamic tech environment.
- Other info: Perfect for those passionate about machine learning and analytics.
- Why this job: Advance your career in AI technologies and make a real impact.
- Qualifications: BSc in a relevant field and strong Python skills.
The predicted salary is between 25000 - 32000 £ per year.
Nokia is seeking a candidate in Aldermaston Wharf, United Kingdom, focusing on AI solutions for diverse service domains. This role involves collaborating with experts to implement innovative AI/ML projects.
Candidates should have a BSc in a relevant field and strong skills in machine learning concepts and Python. The position promotes personal development within a leading wireless mobility network environment. Ideal for those looking to advance their career in AI technologies and analytics.
AI & Data Science Trainee: Hands-On ML & NLP employer: Nokia
Contact Detail:
Nokia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Data Science Trainee: Hands-On ML & NLP
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and data science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects or any relevant work you've done. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common ML and NLP questions. Practice explaining your thought process and how you approach problem-solving in these areas.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests, so take advantage of it and get your application in!
We think you need these skills to ace AI & Data Science Trainee: Hands-On ML & NLP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills in machine learning and Python. We want to see how your background fits with the AI solutions we’re working on, so don’t be shy about showcasing your projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about this role and how your passion for AI and data science aligns with our mission at StudySmarter. Keep it personal and engaging!
Showcase Your Projects: If you've worked on any hands-on ML or NLP projects, make sure to mention them! We love seeing practical examples of your work, so include links or descriptions that demonstrate your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Nokia
✨Know Your AI & ML Basics
Make sure you brush up on your machine learning concepts and Python skills. Be ready to discuss specific algorithms, their applications, and any projects you've worked on. This shows you're not just familiar with the theory but can also apply it practically.
✨Show Your Passion for AI
Nokia is looking for candidates who are genuinely excited about AI technologies. Share your thoughts on recent advancements in the field or any personal projects you've undertaken. This enthusiasm can set you apart from other candidates.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining complex concepts in simple terms, as you might need to collaborate with non-technical team members. Being able to communicate effectively is key!
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the specific AI/ML projects you'll be working on or how the team collaborates. This shows your interest in the role and helps you gauge if it's the right fit for you.