Data Science Placement Programme
Data Science Placement Programme

Data Science Placement Programme

Placement 30000 - 42000 £ / year (est.) No home office possible
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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, and support throughout your journey.
  • Why this job: Gain hands-on experience through practical projects and earn a globally recognised certification.
  • 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 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

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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, attend webinars, 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 content on social media platforms. Follow StudySmarter and interact with our posts to stay updated on job openings and industry trends. This not only shows your interest but also helps you build a rapport with us.

✨Tip Number 3

Consider creating a personal project that showcases your skills in data science. This could be anything from a data analysis report to a machine learning model. Having a tangible example of your work can make you stand out during the recruitment process.

✨Tip Number 4

Prepare for interviews by practising common data science questions and scenarios. Familiarise yourself with the tools and technologies mentioned in the job description, such as Python and R, so you can confidently discuss your knowledge during interviews.

We think you need these skills to ace Data Science Placement Programme

Python Programming
R Programming
Machine Learning Fundamentals
Data Mining Techniques
Data Visualisation
Statistical Analysis
Data Governance
Analytical Thinking
Problem-Solving Skills
Attention to Detail
Communication Skills
Team Collaboration
Adaptability
Time Management
Portfolio Development

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 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 Commitment to Learning: Since no prior experience is required, focus on your commitment to learning and personal development. Discuss any online courses, workshops, or self-study you've undertaken related to data science or analytics.

Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.

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 demonstrates your commitment and readiness for the role.

✨Emphasise Your Certification

Mention your CompTIA Data+ certification during the interview. This globally recognised qualification will set you apart from other candidates. Be prepared to discuss how the knowledge gained from this certification can be applied to real-world data challenges.

✨Prepare for Practical Project Discussions

The practical projects are crucial in showcasing your skills. Be ready to talk about the projects you completed during your traineeship. Explain the challenges you faced, how you approached them, and the outcomes. This will give interviewers insight into your problem-solving abilities and practical experience.

✨Ask Insightful Questions

At the end of the interview, don’t forget to ask questions. Inquire about the company’s data science projects, team structure, or future goals. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations.

Data Science Placement Programme
Career Change

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