Data Science Training and Internship -CP in Birmingham

Data Science Training and Internship -CP in Birmingham

Birmingham Internship Home office possible
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At a Glance

  • Tasks: Gain hands-on experience in data science through real-world projects and mentorship.
  • Company: Join Int-Elligence Tech Solutions, a UK-based tech firm focused on bridging the skills gap.
  • Benefits: Receive an industry-recognised certificate and 1:1 mentorship from experienced professionals.
  • Other info: Unpaid internship designed for learning and skill development with excellent career prospects.
  • Why this job: Kickstart your career in data science and make a real impact in the tech industry.
  • Qualifications: Basic knowledge of Python; ideal for STEM graduates or those looking to upskill.

Data Science Training & Internship – CP - Spring 2026

Int-Elligence Tech Solutions Plc (UK-Based)

Remote | 3 Months | Industry-Recognised Certificate | 1:1 Live Mentorship | June 2026

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

Data Science Training & Internship - CP

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 (β‰ˆ 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 Birmingham employer: LinkedIn

Int-Elligence Tech Solutions Plc is an exceptional employer for aspiring data professionals, offering a unique opportunity to gain hands-on experience through a structured training and internship programme. With 1:1 live mentorship from industry experts and a focus on real-world projects, participants can build a robust portfolio while receiving an industry-recognised certificate, all within a supportive remote work culture that prioritises skill development and career growth.

LinkedIn

Contact Detail:

LinkedIn Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Science Training and Internship -CP in Birmingham

✨Tip Number 1

Network like a pro! Reach out to professionals in the data science field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those relevant to data science. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Prepare for interviews by practising common data science questions and scenarios. We recommend doing mock interviews with friends or mentors to build confidence and refine your answers.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates ready to dive into the world of data.

We think you need these skills to ace Data Science Training and Internship -CP in Birmingham

Python
NumPy
Pandas
Matplotlib
Seaborn
TensorFlow
SciPy

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. Make sure all your documents are up-to-date and reflect your enthusiasm for the role!

How to prepare for a job interview at LinkedIn

✨Know Your Data Tools

Familiarise yourself with the key tools 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 areas like fraud detection or sales forecasting. Highlight your contributions and the impact of your work to demonstrate your hands-on experience.

✨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 might work on. This shows your genuine interest in the role and helps you assess if it's the right fit for you.

✨Practice Common Interview Questions

Anticipate common interview questions related to data science, such as explaining a machine learning model you've built or discussing a challenge you faced in a project. Practising your responses will help you articulate your thoughts clearly during the interview.