At a Glance
- Tasks: Join our Data Science Placement Programme and learn essential skills in Python, R, and AI.
- Company: We partner with top UK organisations to help you kick-start your data science career.
- Benefits: Enjoy flexible training, job guarantee within 20 miles, and a supportive learning environment.
- Why this job: Gain practical experience through projects and earn a globally recognised certification to boost your CV.
- Qualifications: No prior experience needed; just a passion for data and a willingness to learn.
- Other info: Complete the programme in 6-12 months and secure a role with a great starting salary.
The predicted salary is between 28800 - 43200 Β£ per year.
Data Scientist Placement Programme β 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 β 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 β 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 β 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 β 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 Β£1495, or a deposit of Β£212 followed by 10 interest free monthly instalments of Β£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. βPlease note that this is a training course and fees apply
Contact Detail:
Career Change Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Science Placement Programme
β¨Tip Number 1
Familiarise yourself with the key tools and technologies mentioned in the job description, such as Python, R, and Machine Learning. Having a basic understanding of these concepts will not only help you during the training but also make you more appealing to potential employers.
β¨Tip Number 2
Engage with online communities or 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.
β¨Tip Number 3
Start building a portfolio of projects, even if they are small or personal. Showcasing your ability to apply data science concepts in practical scenarios will give you an edge when it comes time to apply for jobs after your training.
β¨Tip Number 4
Prepare for the CompTIA Data+ exam by using practice tests and study groups. Being well-prepared for this certification will not only boost your confidence but also enhance your CV, making you a more attractive candidate to employers.
We think you need these skills to ace Data Science Placement Programme
Some tips for your application π«‘
Understand the Programme: Before applying, make sure you fully understand the Data Science Placement Programme. Familiarise yourself with the training structure, the skills you'll learn, and the job guarantee offered upon completion.
Tailor Your CV: Even though no prior experience is required, tailor your CV to highlight any relevant skills or experiences that could relate to data science. Include any coursework, projects, or self-study that demonstrates your interest in the field.
Craft a Compelling Cover Letter: Write a cover letter that expresses your passion for data science and your eagerness to learn. Mention why you are interested in this specific programme and how it aligns with your career goals.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Career Change
β¨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.
β¨Understand the Basics of Data Science
Even though you may not have prior experience, make sure you understand key concepts in data science, such as data mining, machine learning, and data visualisation. This foundational knowledge will help you answer technical questions confidently.
β¨Prepare for Common Interview Questions
Research common interview questions for data science roles and practice your responses. Questions may include your understanding of data analysis techniques or how you would approach a specific data problem. Being well-prepared will boost your confidence.
β¨Express Your Passion for Data Science
During the interview, convey your enthusiasm for data science and your eagerness to learn. Employers appreciate candidates who are genuinely interested in the field and are motivated to grow their skills and contribute to the team.