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- Tasks: Join our Data Science Placement Programme and learn essential skills in Python, R, and AI.
- Company: Career Change connects aspiring data scientists with top UK companies for exciting opportunities.
- Benefits: Enjoy flexible training, a job guarantee, and the chance to earn £25K-£45K after completion.
- Why this job: This is your chance to kick-start a rewarding career in data science with full support and training.
- Qualifications: No experience needed; just a passion for learning and a drive to succeed.
- Other info: Complete practical projects and gain globally recognized certifications to boost your CV.
The predicted salary is between 25000 - 45000 £ per year.
Trainee Data Scientist – No Experience Required
Are you looking to kick-start a new career as a Data Scientist? We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion.
Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps:
- Full Data Science Career Training: You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study.
- CompTIA Data+: CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. Gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd.
- Official Exam: The CompTIA Data+ exam will certify that you have the knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online.
- Practical Projects: You will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as they will showcase to employers that you have the skills required to work in a data science role. The projects will use real-world scenarios where you will be utilising all of the skills that you have learned. You will have ongoing support from your personal tutor.
Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories.
Experience: Not required
Employment: Full-time
Salary: £25,000 – £45,000 yearly
Starting time: Immediate start!
About Career Change: We are devoted to training our candidates into qualified professionals and connecting them with some of the most innovative companies in the UK.
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Data Science Placement Programme employer: Career Change
Contact Detail:
Career Change Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Placement Programme
✨Tip Number 1
Make sure to familiarize yourself with the key tools and technologies mentioned in the job description, such as Python, R, and Machine Learning. This will not only help you during your training but also give you a solid foundation to discuss these topics during interviews.
✨Tip Number 2
Engage with online communities and forums related to data science. Networking with professionals in the field can provide you with insights, tips, and even potential job leads once you complete your traineeship.
✨Tip Number 3
Focus on completing your practical projects with creativity and attention to detail. These projects are crucial for showcasing your skills to potential employers, so make sure they reflect your best work.
✨Tip Number 4
Stay updated on industry trends and advancements in data science. Being knowledgeable about current developments will not only enhance your learning experience but also impress employers during interviews.
We think you need these skills to ace Data Science Placement Programme
Some tips for your application 🫡
Understand the Role: Take some time to fully understand what a Data Scientist does and the skills required for the role. This will help you tailor your application to highlight relevant skills and interests.
Highlight Your Motivation: In your application, express your enthusiasm for starting a career in data science. Mention why you are interested in this traineeship and how it aligns with your career goals.
Showcase Relevant Skills: Even if you don't have formal experience, think about any relevant skills or projects you've worked on that relate to data science. Include these in your CV or cover letter to demonstrate your potential.
Follow Application Instructions: Make sure to carefully follow all application instructions provided by the company. This includes submitting all required documents and ensuring your application is complete before sending it off.
How to prepare for a job interview at Career Change
✨Showcase Your Projects
Be prepared to discuss the practical projects you completed during your traineeship. Highlight the skills you used and the challenges you overcame, as this will demonstrate your hands-on experience and problem-solving abilities.
✨Understand Key Concepts
Make sure you have a solid grasp of the key concepts covered in your training, such as Python, R, Machine Learning, and Data Analytics. Being able to explain these concepts clearly will show your understanding and readiness for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company and the role. This shows your genuine interest in the position and helps you assess if the company is the right fit for you.
✨Highlight Your Adaptability
Since this role is open to candidates without prior experience, emphasize your willingness to learn and adapt. Share examples of how you've quickly picked up new skills or tackled unfamiliar challenges in the past.
