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- Tasks: Gain hands-on experience in data science through real-world projects and mentorship.
- Company: Join a UK-based tech firm focused on bridging the data skills gap.
- Benefits: Receive an industry-recognised certificate and 1:1 mentorship from professionals.
- Why this job: Kickstart your career in data science and build a standout portfolio.
- Qualifications: Ideal for STEM graduates or anyone with basic Python knowledge.
- Other info: Unpaid internship designed for learning and skill development.
The UK job market continues to face a shortage of skilled data professionals. Organisations across industries are actively seeking individuals who can turn data into meaningful insights and business value.
Our program is specifically designed to bridge the gap between academic theory and the practical, real-world experience UK employers look for in data and tech professionals. Data science is no longer optional - it is becoming a core capability for growth-driven organisations in the UK.
About 46% of UK businesses said they struggled to recruit for roles requiring data skills over the past two years (GOV.UK).
Why Consider This Program?
- UK Skills Gap: A significant proportion of UK data roles remain unfilled due to a shortage of job-ready candidates (STEM Learning).
- Portfolio-Led Learning: Build up to 5 real-world projects, including use cases such as fraud detection, forex analysis, and sales forecasting.
- UK-Based Credibility: Training delivered by a UK-based technology firm, aligned with current local industry expectations and standards.
Program Overview
This learning-focused internship is designed to help participants strengthen their practical data science skills through structured guidance, hands-on project work, and mentorship.
What You’ll Gain
- Real-World Project Experience: Apply data science techniques to real scenarios and develop a portfolio suitable for entry-level and transition roles.
- Mentorship from UK Industry Professionals: Learn under the guidance of data specialists with experience across FTSE-listed companies, AI start-ups, and enterprise environments.
- Industry-Recognised Certification: Participants who successfully complete the program will be eligible for a Microsoft-partnered industry certificate.
- Practical Tool Exposure: Gain experience with frameworks and technologies commonly used by UK employers.
Key Tools & Technologies
- Python – Core programming for data analysis
- NumPy & Pandas – Data preparation and manipulation
- Matplotlib & Seaborn – Visualisation and exploratory analysis
- TensorFlow, SciPy, Scikit-learn – Machine learning fundamentals
- Spark – Scalable data processing
- Flask & Streamlit – Deploying APIs and interactive data applications
Who This Program Is For
- Graduates or final-year students in STEM, computer science, or analytics-related disciplines
- Professionals seeking to upskill or transition into data-focused roles
- Career changers looking to gain UK-aligned project experience
Applicants should have basic working knowledge of Python.
Important Information
This is an unpaid training and internship certificate program, structured specifically for learning, mentorship, and skill development. Please apply only if you are comfortable with this format and meet the eligibility criteria.
How to Apply
Apply directly via LinkedIn with your updated CV. Shortlisted applicants will be contacted with next steps.
For queries: -------------------------------------------------------------------------------------
UK businesses are recruiting for 178,000–234,000 data or “hard data-skills” roles. Nearly half (≈ 48%) of businesses surveyed say they are hiring for data/data-skills roles - but many report difficulty filling them (Quantifying the UK Data Skills Gap, GOV.UK).
Data Science Training & Internship - CP - Spring in Plymouth employer: IntElligence Tech Solutions
Contact Detail:
IntElligence Tech Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Training & Internship - CP - Spring in Plymouth
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. We can’t stress enough how important it is to make connections; you never know who might help you land that dream internship!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those relevant to data science. We recommend including any real-world applications you've worked on, as this will make you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and scenarios. We suggest doing mock interviews with friends or mentors to build your confidence and refine your answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals ready to dive into the world of data science.
We think you need these skills to ace Data Science Training & Internship - CP - Spring in Plymouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that are relevant to data science. Highlight any projects or coursework that showcase your ability to work with data, especially using Python and other tools mentioned in the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how this internship aligns with your career goals. Be sure to mention any specific projects or experiences that relate to the role.
Showcase Your Projects: If you've worked on any data-related projects, make sure to include them in your application. Whether it's a university project or something personal, real-world examples can really set you apart from other candidates.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It’s straightforward, and we want to see your application come through our official channels!
How to prepare for a job interview at IntElligence Tech Solutions
✨Know Your Data Tools
Familiarise yourself with the key tools and technologies mentioned in the job description, like Python, NumPy, and TensorFlow. Be ready to discuss how you've used these tools in your projects or studies, as this will show your practical knowledge and readiness for the role.
✨Showcase Your Projects
Prepare to talk about the real-world projects you've worked on, especially those that align with the internship's focus. Highlight your contributions, the challenges you faced, and the outcomes. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Industry Context
Research the current data skills gap in the UK and be prepared to discuss why this internship is a great opportunity for you and the company. Showing awareness of industry trends can set you apart and indicate your genuine interest in the field.
✨Ask Insightful Questions
Prepare thoughtful questions to ask your interviewers about the programme, mentorship opportunities, and the types of projects you'll be working on. This not only shows your enthusiasm but also helps you gauge if the internship aligns with your career goals.