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- Tasks: Collaborate on AI/ML projects and develop innovative algorithms for real-world applications.
- Company: Leading tech firm in wireless mobility networks with a focus on AI solutions.
- Benefits: Continuous personal development, dynamic work environment, and exposure to cutting-edge technologies.
- Other info: Opportunities to collaborate with top research institutions and enhance your skills.
- Why this job: Join a team at the forefront of AI and 5G technology, making a tangible impact.
- Qualifications: BSc in relevant fields and knowledge of machine learning concepts and Python.
The predicted salary is between 25000 - 32000 £ per year.
We work on AI solutions for enhancing current processes in different service domains, in a very dynamic and fast pacing environment with continuous personal development in the field. You will work with Solution Owners and the AI Engineering team, handling AI/ML, Data Science, AIOps/MLOps technologies. Our Business Group is a leader in wireless mobility networks and associated services.
Responsibilities:
- Collaborate with solution consultants and solution owners to brainstorm AI/ML applications for problem-solving.
- Blend historical data from diverse sources (customer network data, public information, field reports, etc.) to build efficient algorithms.
- Apply advanced technologies and techniques, including predictive analytics, natural language processing, computer vision, and optimization algorithms.
- Work closely with software and data engineers to integrate AI/ML algorithms into industrial products.
- Engage in AI/ML projects across all phases: discovery, proof of concept, industrialization, and deployment.
- Conduct functional and technical analysis of customer needs, design solutions, and document results in terms of data analysis and performance.
- Establish connections with research councils and academic institutions, focusing on countries with high AI Readiness Index.
- Collaborate with European and American research institutions to leverage bilateral scientific and technological advances.
Qualifications:
- BSc in Statistics, Machine Learning, Data Science, Computer Science, Computer Engineering, or a related field.
- Machine Learning concepts: supervised and unsupervised learning, linear and logistic regressions, random forests, gradient boosting, neural networks (RNN, LSTM, CNN), text mining and topics extraction, NLP, K-Means, decision trees, ML applied to computer vision.
- Knowledge of Python (scikit-learn, Pandas, NumPy, etc.), Jupyter, Spark/Scala or R data science libraries.
- Knowledge of Generative AI and Agentic AI.
- English (written and verbal).
Data Science Trainee employer: Nokia Global
Contact Detail:
Nokia Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Trainee
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We want you to feel confident and ready to tackle any challenge thrown your way!
✨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 Data Science Trainee
Some tips for your application 🫡
Show Your Passion for Data Science: When writing your application, let us see your enthusiasm for data science and AI! Share any projects or experiences that highlight your skills in machine learning and data analysis. We love to see candidates who are genuinely excited about the field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Data Science Trainee position. Highlight relevant coursework, projects, and skills that align with our job description. This shows us you’ve done your homework and are serious about joining our team!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do – just follow the prompts and you’ll be set!
How to prepare for a job interview at Nokia Global
✨Know Your AI/ML Basics
Make sure you brush up on your machine learning concepts before the interview. Be ready to discuss supervised and unsupervised learning, as well as algorithms like random forests and neural networks. This will show that you have a solid foundation and are genuinely interested in the field.
✨Showcase Your Technical Skills
Prepare to demonstrate your knowledge of Python and relevant libraries like scikit-learn and Pandas. You might be asked to solve a problem or explain how you would approach a data science task, so having practical examples ready can really set you apart.
✨Understand the Company’s Focus
Familiarise yourself with the company’s work in AI solutions and 5G technologies. Knowing about their projects and how they apply AI/ML in real-world scenarios will help you connect your skills to their needs during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about ongoing AI/ML projects or how they collaborate with research institutions. This shows your enthusiasm and helps you gauge if the company is the right fit for you.