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- Tasks: Join our Data Science Placement Programme and learn essential skills in Python, R, and AI.
- Company: We connect aspiring data scientists with top UK companies, ensuring a smooth career transition.
- Benefits: Enjoy flexible training, job guarantees, and a starting salary of £25K-£45K.
- Why this job: Kick-start your career with full training, real-world projects, and a supportive tutor.
- Qualifications: No prior experience needed; just a passion for data science and a willingness to learn.
- Other info: Guaranteed job placement or a full refund of your course fees!
The predicted salary is between 25000 - 45000 £ per year.
Job Description
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.\\n\\nThis step will fully prepare you for the professional projects that you will undertake in step 4 of this process.\\n\\nAt 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.\\n\\nStep 2 – CompTIA Data+\\n\\nCompTIA 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.\\n\\nStep 3 – Official Exam\\n\\nThe 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.\\n\\nStep 4 – Practical Projects\\n\\nNow 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.\\n\\nWhilst 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.\\n\\nYour Data Science Role\\n\\nOnce 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.\\n\\nAt 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.\\n\\nRead through the information? Passionate about starting a career in data science?
Apply now and one of our friendly advisors will be in touch.\\n\\n‘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
Familiarise yourself with the key skills required for a Data Scientist role, such as Python, R, and Machine Learning. This will not only help you during your training but also give you a head start when discussing your knowledge in interviews.
✨Tip Number 2
Engage with online communities and forums related to data science. Networking with professionals in the field can provide valuable insights and may even lead to job opportunities once you complete your traineeship.
✨Tip Number 3
Work on personal projects that showcase your data analysis skills. Having a portfolio of practical work will make you stand out to potential employers and demonstrate your ability to apply what you've learned.
✨Tip Number 4
Stay updated on industry trends and advancements in data science. Being knowledgeable about the latest tools and technologies will show employers that you're proactive and passionate about your career in this field.
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 new career. Mention why you are interested in the Data Science Placement Programme and how it aligns with your career goals.
Highlight Your Projects: If you have completed any projects or coursework related to data science, be sure to mention them in your application. This could include any mini-projects from your training or personal projects that demonstrate your skills.
Show Enthusiasm: In your application, convey your enthusiasm for the opportunity. Companies appreciate candidates who are genuinely excited about the role and the chance to grow within the field of data science.
How to prepare for a job interview at Career Change
✨Understand the Basics of Data Science
Before your interview, make sure you have a solid grasp of fundamental data science concepts. Brush up on key topics like Python, R, machine learning, and data visualisation. This will not only help you answer technical questions but also demonstrate your enthusiasm for the field.
✨Showcase Your Projects
Be prepared to discuss any practical projects you've completed during your traineeship. Highlight the skills you used and the outcomes of these projects. Employers love to see real-world applications of your knowledge, so make sure to articulate your contributions clearly.
✨Prepare for Common Interview Questions
Familiarise yourself with common data science interview questions, such as those related to data analysis techniques or statistical methods. Practising your responses can help you feel more confident and articulate during the actual interview.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask 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.
