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- Tasks: Learn data science skills like Python and Machine Learning through hands-on training.
- Company: Leading training provider in data science based in Weston-super-Mare.
- Benefits: Guaranteed job placement, flexible payment plans, and comprehensive training.
- Why this job: Kickstart your career in data science with no prior experience needed!
- Qualifications: Passion for data science and a willingness to learn.
- Other info: Join a supportive community and work on real projects.
The predicted salary is between 500 - 1500 £ per month.
A training provider for data science in Weston-super-Mare is offering a Data Scientist Placement Programme that requires no prior experience. Participants will undergo comprehensive training covering Python, R, Machine Learning, and more, culminating in practical projects. Graduates are guaranteed a Data Scientist role within 20 miles of their location, with flexible payment plans available for the program fees. This is an excellent opportunity for those passionate about launching a career in data science.
Data Science Traineeship - No Experience Needed in Weston-super-Mare 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 Weston-super-Mare
✨Tip Number 1
Network like a pro! Reach out to people in the data science field on LinkedIn or at local meetups. We can’t stress enough how valuable connections can be when it comes to landing that first role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any projects you’ve worked on during your training. Even if they’re just practice projects, having something tangible can really impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions. We recommend doing mock interviews with friends or mentors to build your confidence and get feedback on your answers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources and job listings tailored for aspiring data scientists. The more you apply, the better your chances of landing that dream role!
We think you need these skills to ace Data Science Traineeship - No Experience Needed in Weston-super-Mare
Some tips for your application 🫡
Show Your Passion: Let us know why you're excited about data science! Share your enthusiasm in your application and highlight any personal projects or interests related to the field.
Tailor Your Application: Make sure to customise your application for the Data Science Traineeship. Use keywords from the job description and align your skills with what we’re looking for, even if you don’t have formal experience.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to see your potential and fit for the programme.
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 this fantastic opportunity.
How to prepare for a job interview at Career Change
✨Know Your Basics
Even if you’re new to data science, brush up on the fundamentals of Python, R, and Machine Learning. Familiarise yourself with key concepts and terminology so you can confidently discuss them during the interview.
✨Show Your Passion
Let your enthusiasm for data science shine through! Share any personal projects or online courses you've completed. This shows that you're proactive and genuinely interested in the field, even without formal experience.
✨Prepare for Practical Questions
Expect questions that assess your problem-solving skills. Practice explaining how you would approach a data-related challenge. Use examples from your training or hypothetical scenarios to demonstrate your thought process.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the training programme or the company culture. This not only shows your interest but also helps you determine if it’s the right fit for you.
