Data Scientist Traineeship: Training & Job Placement

Data Scientist Traineeship: Training & Job Placement

Trainee 25000 - 30000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Kick-start your career as a Data Scientist with full training and job placement.
  • Company: Join a network of companies eager to hire Data Science Traineeship graduates.
  • Benefits: Job guarantee within 20 miles, flexible training pace, and competitive starting salary.
  • Other info: Complete the traineeship in four easy steps and start your journey in just 6-12 months.
  • Why this job: No experience needed; gain in-demand skills in Python, AI, and Machine Learning.
  • Qualifications: Passion for data and willingness to learn; no prior experience required.

The predicted salary is between 25000 - 30000 £ per year.

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 four easy steps, and you can be placed into your first role in as little as six to twelve months.

  • Step 1 – Full Data Science Career Training
  • You will begin your data science journey by studying a selection of industry‑recognised courses that take you from beginner level 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.

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 – Comp TIA Data+
  • The Comp TIA Data+ certification covers Data Mining, Visualization, Data Governance and Data Analytics.

It is a globally recognised certification that enhances your CV and improves your competitiveness to employers.

  • Step 3 – Official Exam
  • The Comp TIA Data+ exam certifies that you have the knowledge and skills required to transform business requirements in support of data‑driven decisions.

The exam is 90 minutes long and can be taken either in a local testing centre or online.

  • Step 4 – Practical Projects
  • After completing your theory training and official exams you will be assigned two practical projects by your tutor.

The projects use real‑world scenarios and showcase your ability to apply all the skills you have learned.

Throughout the projects you receive ongoing support from your personal tutor.

Once both projects are completed and given final sign‑off, you will have completed the traineeship and be ready to move onto the recruitment stage.

  • Your Data Science Role
  • Once you have completed all mandatory training, including the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role and guarantee 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.

The program costs £1,495 as a one‑off fee, or a deposit of £212 followed by ten interest‑free monthly instalments of £148.

If you are not offered a role at the end of the training we will refund 100% of your course fees.

Please note that this is a training course and fees apply.

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Data Scientist Traineeship: Training & Job Placement employer: Comptia Data+

Comptia Data+ is an exceptional employer that prioritises the growth and development of its trainees, offering a comprehensive Data Science Traineeship designed for individuals at all experience levels. With flexible training options and a guaranteed job placement within 20 miles upon completion, employees benefit from a supportive work culture that fosters learning through hands-on projects and expert tutor guidance, making it an ideal environment for aspiring data scientists in the UK.

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Contact Details:

Comptia Data+ Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist Traineeship: Training & Job Placement

Get in on the Data Science Meetups

Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like Comptia Data+.

Show Off Your Projects

As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including Comptia Data+, love seeing hands-on experience!

Connect with Alumni

Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like Comptia Data+.

Find Internships through Portals and Workshops

Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including Comptia Data+, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!

We think you need these skills to ace Data Scientist Traineeship: Training & Job Placement

Python
SQL
Communication Skills
Problem-Solving Skills
Automation
Data Governance
Data Engineering

Some tips for your application 🫡

Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!

Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so Comptia Data+ can see your code and your thought process. Practical experience, even if it's academic, can set you apart!

Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at Comptia Data+ and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.

Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!

How to prepare for a job interview at Comptia Data+

Show Off Your Data Skills

Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.

Prepare for Practical Assessments

Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!

Highlight Your Passion for Learning

As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells Comptia Data+ that we’re eager to grow and develop our skills in this exciting field.

Ask Insightful Questions

Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into Comptia Data+’s culture and workflow.