At a Glance
- Tasks: Kick-start your career in data science with full training and practical projects.
- Company: Join a leading programme that guarantees job placement after training.
- Benefits: Flexible learning, job guarantee, and support from personal tutors.
- Other info: Complete the traineeship in 6-12 months and start climbing the career ladder.
- Why this job: No experience needed; gain valuable skills and certifications to stand out.
- Qualifications: Passion for data science and willingness to learn.
The predicted salary is between 36000 - 60000 € per year.
Data Scientist Placement Programme - No Experience Required
Our training will help you 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 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, you can be placed into your first role in as little as 6-12 months:
- Step 1 - 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. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2.
- Step 2 - 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. In any industry, 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.
- Step 3 - Official Exam
The CompTIA Data+ exam will certify that you have 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.
- Step 4 - Practical Projects
Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have 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. Whilst you are progressing through the projects, you will have the 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.
Your Data Science Role
Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates.
At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees.
Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.
Please note that this is a training course and fees apply.
Data Science Graduate Scheme in Reading employer: Career Change
Join a dynamic and supportive environment where your journey as a Data Scientist begins with comprehensive training and hands-on projects. Our commitment to employee growth is evident through our job guarantee within 20 miles of your location, ensuring that you can kick-start your career with confidence. With flexible learning options and the opportunity to gain industry-recognised certifications, we empower you to thrive in the exciting field of data science.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Graduate Scheme in Reading
✨Tip Number 1
Network like a pro! Reach out to fellow trainees, mentors, and industry professionals on LinkedIn. A friendly chat can lead to job opportunities that aren't even advertised yet.
✨Tip Number 2
Show off your projects! When you complete your practical projects, make sure to showcase them in your portfolio. This is your chance to demonstrate your skills and creativity to potential employers.
✨Tip Number 3
Practice makes perfect! Before interviews, do mock interviews with friends or family. This will help you get comfortable talking about your skills and experiences, making you more confident when it counts.
✨Tip Number 4
Apply through our website! We’ve got loads of companies looking for fresh talent like you. The more you apply, the better your chances of landing that dream job in data science!
We think you need these skills to ace Data Science Graduate Scheme in Reading
Some tips for your application 🫡
Read the Job Description Carefully:Before you start your application, take a good look at the job description. It’s packed with info about what we’re looking for and how you can shine in your application. Make sure to highlight any relevant skills or experiences that match what we’ve outlined!
Tailor Your CV:Don’t just send out the same CV for every application! Customise yours to reflect the skills and experiences that are most relevant to the Data Science Graduate Scheme. We want to see how you fit into our vision, so make it personal!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re passionate about data science and why you want to join our team. Keep it engaging and let your personality shine through. We love seeing enthusiasm and a genuine interest in the field!
Apply Through Our Website:Make sure to apply directly through our website! It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re serious about joining StudySmarter!
How to prepare for a job interview at Career Change
✨Know Your Stuff
Make sure you brush up on the key concepts of data science, especially Python, R, and machine learning. Familiarise yourself with the projects you've completed during your training, as they’ll be great talking points in the interview.
✨Showcase Your Projects
Prepare to discuss the practical projects you've worked on. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Ask Smart Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data practices or the team you'll be working with. This shows your genuine interest and helps you assess if the company is the right fit for you.
✨Practice Makes Perfect
Conduct mock interviews with friends or mentors. Practising common interview questions can help you articulate your thoughts clearly and boost your confidence. The more you practice, the more comfortable you'll feel during the real thing!
