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- Tasks: Embark on a journey to become a Data Scientist with comprehensive training and practical projects.
- Company: Join a leading programme that connects you with top companies seeking data science talent.
- Benefits: Enjoy flexible training, job guarantee, and support throughout your learning experience.
- Why this job: Kick-start your career in a booming field with no prior experience needed and real-world projects.
- Qualifications: No experience required; just a passion for data and a willingness to learn.
- Other info: Complete the traineeship in 6-12 months and secure a role with a competitive salary.
The predicted salary is between 30000 - 42000 £ 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 be utilising all of the skill 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.
Read through the information? 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 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
Start networking with professionals in the data science field. Join online forums, LinkedIn groups, or local meetups to connect with others who are already working in the industry. This can help you gain insights and potentially lead to job opportunities.
✨Tip Number 2
Engage with our training content actively. Participate in discussions, ask questions, and complete all mini-projects thoroughly. This not only enhances your learning but also demonstrates your commitment and enthusiasm to potential employers.
✨Tip Number 3
Build a strong portfolio showcasing your projects. As you complete your practical projects, ensure you document your work well. A well-organised portfolio can significantly impress hiring managers and set you apart from other candidates.
✨Tip Number 4
Prepare for interviews by practising common data science interview questions. Familiarise yourself with technical concepts and be ready to discuss your projects in detail. This preparation will boost your confidence and help you articulate your skills effectively.
We think you need these skills to ace Data Science Placement Programme
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights any relevant skills or experiences, even if they are not directly related to data science. Emphasise your willingness to learn and adapt, as well as any analytical or technical skills you may have.
Craft a Compelling Cover Letter: Write a cover letter that expresses your passion for data science and your eagerness to start a career in this field. Mention why you are interested in the Data Science Placement Programme and how it aligns with your career goals.
Highlight Your Learning Mindset: Since no prior experience is required, focus on your enthusiasm for learning. Discuss any online courses, workshops, or self-study you have undertaken related to data science or analytics.
Submit Your Application Promptly: Given the high number of candidates, ensure you submit your application as soon as possible. Double-check all documents for accuracy and completeness before hitting send.
How to prepare for a job interview at Career Change
✨Showcase Your Learning Journey
Since this role is for a Data Science Placement Programme with no prior experience required, be sure to highlight your learning journey. Discuss the courses you've completed, the skills you've acquired in Python, R, and Machine Learning, and any mini projects you've worked on. This will demonstrate your commitment and readiness for the role.
✨Emphasise Your Practical Projects
Talk about the practical projects you undertook during your training. Explain how these projects relate to real-world scenarios and what specific skills you applied. This will help interviewers see that you can translate theoretical knowledge into practical applications.
✨Prepare for Common Data Science Questions
Familiarise yourself with common data science interview questions, such as those related to data analysis techniques, statistical methods, and data visualisation. Being prepared to answer these questions will show that you have a solid understanding of the field, even if you're just starting out.
✨Ask Insightful Questions
At the end of the interview, don't forget to ask insightful questions about the company and the role. This shows your genuine interest in the position and helps you determine if it's the right fit for you. Consider asking about the team structure, the types of projects you'll be working on, or opportunities for further training.