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- Tasks: Embark on a data science journey with hands-on projects and industry-recognised training.
- Company: Join a network of companies eager to hire skilled Data Science graduates.
- Benefits: Job guarantee within 20 miles, flexible learning pace, and a solid starting salary.
- Why this job: No experience needed; gain valuable skills in Python, AI, and Machine Learning.
- Qualifications: Passion for data and willingness to learn; all training provided.
- Other info: 100% refund if not placed in a role after training.
The predicted salary is between 8000 - 14000 £ per month.
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.
Program Structure
- 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+
- 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. While 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.
Data Science Placement Programme employer: Comptia Data+
Contact Detail:
Comptia Data+ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Placement Programme
✨Network Like a Pro
Get out there and connect with people in the data science field! Attend meetups, webinars, or even local events. The more you network, the better your chances of landing that dream job.
✨Show Off Your Projects
Make sure to showcase the practical projects you've completed during your traineeship. Create a portfolio that highlights your skills and what you've learned. Employers love seeing real-world applications of your knowledge!
✨Tailor Your Approach
When applying for jobs, tailor your approach to each company. Research their values and projects, and mention how your skills align with their needs. This shows you're genuinely interested and not just sending out generic applications.
✨Apply Through Us!
Don’t forget to apply through our website! We’ve partnered with loads of companies looking for fresh talent like you. Plus, we’re here to support you every step of the way in your job search.
We think you need these skills to ace Data Science Placement Programme
Some tips for your application 🫡
Show Your Passion for Data Science: When writing your application, let us see your enthusiasm for data science! Share why you're excited about the field and how you see yourself growing in it. A genuine passion can really make your application stand out.
Tailor Your Application: Make sure to customise your application to fit the Data Science Placement Programme. Highlight any relevant skills or experiences, even if they’re not directly related to data science. We want to see how your unique background can contribute to our team!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that’s easy to read and understand.
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 Comptia Data+
✨Know Your Stuff
Before the interview, make sure you brush up on the key concepts of data science, especially those mentioned in the job description. Familiarise yourself with Python, R, and machine learning basics. This will not only help you answer technical questions but also show your enthusiasm for the role.
✨Showcase Your Projects
Be ready to discuss the practical projects you've completed during your training. Highlight the challenges you faced, how you overcame them, and the skills you applied. This is your chance to demonstrate your hands-on experience and problem-solving abilities.
✨Ask Smart Questions
Prepare a few insightful questions to ask the interviewer about the company’s data science projects or their team dynamics. This shows that you're genuinely interested in the role and helps you assess if the company is the right fit for you.
✨Practice Makes Perfect
Conduct mock interviews with friends or mentors to build your confidence. Focus on articulating your thoughts clearly and concisely. The more you practice, the more comfortable you'll feel during the actual interview.
