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IntElligence Tech Solutions

Data Science Training & Internship - CP

Remote

United kingdom

Internship

29-12-2025

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Skills

Python Data Analysis Sales Training Machine Learning Scikit-Learn TensorFlow Programming Numpy Pandas Analytics Flask Data Science Spark Matplotlib seaborn

Job Specifications

Data Science Training & Internship – CP

Int-Elligence Tech Solutions Plc (UK-Based)

Remote | 3 Months | Industry-Recognised Certificate | 1:1 UK Mentorship | January 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.

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

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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).

About the Company

Int-Elligence Tech Solutions Plc | Empowering Innovation, Building Talent, Delivering Results London, United Kingdom | www.int-elligence.co.uk At Int-Elligence Tech Solutions Plc, we bring 7+ years of innovation, creativity, and precision in delivering cutting-edge technology solutions to our clients worldwide. With 20+ satisfied international clients and a growing global presence, we're more than just a tech company - we're your digital transformation partner. What We Do Best Our talented team of professionals operates a... Know more