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- Tasks: Collaborate on AI/ML projects and develop innovative solutions in a fast-paced environment.
- Company: Leading tech company specialising in AI solutions for wireless mobility networks.
- Benefits: Continuous personal development, dynamic work culture, 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 make a real impact in technology.
- Qualifications: BSc in relevant fields and knowledge of machine learning concepts and Python.
The predicted salary is between 28000 - 35000 £ 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.
How You Will Contribute And What You Will Learn:
- 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.
Key Skills And Experience:
- 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).
We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.
Data Science Trainee employer: Nokia
Contact Detail:
Nokia 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, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML and data science. 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 brushing up on your technical knowledge and soft skills. Practice common interview questions related to data science and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Science Trainee
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Science Trainee role. Highlight your knowledge of AI/ML, Python, and any relevant projects you've worked on. We want to see how you can contribute to our dynamic environment!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can help us enhance our processes. Be sure to mention specific technologies or methodologies you’re familiar with that align with our needs.
Showcase Your Projects: If you've worked on any relevant projects, whether in school or on your own, make sure to include them. We love seeing practical applications of your skills, especially in AI/ML. Share what you learned 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 getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Nokia
✨Know Your AI/ML Basics
Make sure you brush up on your machine learning concepts, especially supervised and unsupervised learning. Be ready to discuss algorithms like random forests and neural networks, as well as how they apply to real-world problems.
✨Showcase Your Coding Skills
Familiarise yourself with Python and its libraries like scikit-learn and Pandas. During the interview, be prepared to demonstrate your coding skills or even solve a problem on the spot. Practice coding challenges beforehand to boost your confidence!
✨Prepare for Collaborative Scenarios
Since you'll be working closely with solution consultants and engineers, think of examples where you've successfully collaborated in the past. Highlight your teamwork skills and how you can contribute to brainstorming sessions for AI/ML applications.
✨Stay Updated on Industry Trends
Research the latest trends in AI and data science, especially in relation to 5G technologies. Being knowledgeable about current advancements will show your passion for the field and your commitment to continuous personal development.