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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 skill development and career growth.
The predicted salary is between 500 - 1500 £ per month.
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.
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: hr@int-elligence.co.uk
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 and Internship -CP in Leicester 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 and Internship -CP in Leicester
✨Tip Number 1
Networking is key! Reach out to professionals in the data science field on LinkedIn. Join relevant groups and participate in discussions to get your name out there. We can help you connect with mentors who might just have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects from the internship. Use platforms like GitHub to display your work. This will give potential employers a taste of what you can do, making you stand out in the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions. We recommend doing mock interviews with friends or mentors. The more comfortable you are with your answers, the more confident you'll feel when it counts!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. 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 and Internship -CP in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your data science skills and relevant experiences. We want to see how your background aligns with the role, so don’t be shy about showcasing your projects or any coursework related to data analysis!
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 fits into your career goals. We love seeing enthusiasm and a clear connection to what we do at StudySmarter.
Showcase Your Projects: If you’ve worked on any data-related projects, make sure to mention them! Whether it's a university project or something personal, we want to see your practical experience. Include links or descriptions that demonstrate your skills in action.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It streamlines the process for us and ensures your application lands in the right hands. Don’t miss out on this opportunity!
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 in your projects or studies, as this shows you're not just a theoretical learner but someone who can apply their knowledge practically.
✨Showcase Your Projects
Prepare to talk about the real-world projects you've worked on, especially those that align with the internship's focus areas like fraud detection or sales forecasting. Highlight your role, the challenges you faced, and the outcomes. This will demonstrate your hands-on experience and problem-solving skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the mentorship aspect of the programme or the types of projects you'll be working on. This shows your genuine interest in the role and helps you assess if the opportunity is right for you.
✨Practice Your Python
Since basic working knowledge of Python is required, brush up on your coding skills before the interview. Consider doing some coding challenges or mini-projects to boost your confidence. Being able to discuss your coding process and thought patterns can really impress your interviewers.