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- Tasks: Receive comprehensive training in data science and work on practical projects.
- Company: Leading training organisation dedicated to launching careers in IT.
- Benefits: Guaranteed job placement, certifications, and flexible payment options.
- Why this job: Kick-start your career in data science with no prior experience needed!
- Qualifications: No experience required; just a passion for data and learning.
- Other info: Join a supportive community and gain valuable skills for the future.
The predicted salary is between 500 - 1500 £ per month.
A training organization is offering a Data Scientist Placement Programme open to individuals in the United Kingdom. The program provides comprehensive training, certifications, and practical projects to prepare trainees for work in data science. Graduates will be guaranteed job placement within 20 miles of their location. This opportunity involves a one-off cost or payment plan and aims to kick-start a rewarding career in IT.
Data Science Traineeship - No Experience Needed in Slough employer: Career Change
Contact Detail:
Career Change Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Traineeship - No Experience Needed in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the data science field through LinkedIn or local meetups. We can’t stress enough how valuable connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and any relevant work you've done during the traineeship. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common data science questions and scenarios. We recommend doing mock interviews with friends or mentors to build your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re here to support you every step of the way in your job search journey.
We think you need these skills to ace Data Science Traineeship - No Experience Needed in Slough
Some tips for your application 🫡
Show Your Passion for Data Science: When writing your application, let us know why you're excited about data science! Share any personal projects or interests that relate to the field. This helps us see your enthusiasm and potential.
Tailor Your Application: Make sure to customise your application for this specific traineeship. Highlight skills or experiences that align with the job description, even if they’re from different areas. We love seeing how you connect the dots!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that’s easy to read!
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!
How to prepare for a job interview at Career Change
✨Know Your Data Science Basics
Even if you’re new to data science, brush up on the fundamental concepts. Familiarise yourself with key terms like machine learning, data analysis, and statistics. This will show your enthusiasm and readiness to learn during the interview.
✨Showcase Your Projects
If you've worked on any relevant projects, even if they were part of your training, be ready to discuss them. Highlight what tools you used, the challenges you faced, and how you overcame them. This practical experience can set you apart from other candidates.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the programme or the company. This not only shows your interest but also helps you gauge if the opportunity aligns with your career goals. Think about asking about the types of projects you might work on or the support available for trainees.
✨Be Yourself and Stay Positive
Interviews can be nerve-wracking, but remember to be yourself! Show your passion for data science and maintain a positive attitude. Employers appreciate candidates who are eager to learn and grow, so let your personality shine through.
