Data Science Training & Internship

IntElligence Tech Solutions, London UK
Birmingham
2 months ago
Applications closed

Related Jobs

View all jobs

Data Science Intern

Data Science Intern

Data Science Intern

Data Analyst Intern

Data Science Trainer

Data Science Placement Programme

Kickstart Your Data Science Training and Internship with Int-Elligence Tech Solutions Plc!


PLEASE READ THE DESCRIPTION CAREFULLY BEFORE APPLYING. IRRELEVANT CANDIDATES STAY AWAY.


The UK job market is experiencing ashortage of skilled Data Scientists and relevant positions, and companies are actively searching for professionals who can analyze and interpret data effectively.Are you ready to fill that gap and advance your career?


Participants from our past cohorts have gone on to work on real client projects and secure job opportunities in various data-driven industries across the UK.


Join Int-Elligence Tech Solutions Plc, a leading UK-based IT solutions provider, and gain the industry-ready skills needed to secure top data science roles!


Program Highlights:


Data Science Training and Internship Program


Duration:3 Months

Hands-On Learning:Work on numerous real-world projects and build a strong portfolio

Microsoft-Partnered Certification:Enhance your CV and boost employability in the UK and beyond

Expert Mentorship:Learn from experienced professionals and connect with industry leaders.

Career-Focused Training: Designed to make you job-ready in the growing data science industry

Career Advancement: Top interns may have the chance to work on our client projects post-internship, following a successful assessment & interview


Tools & Technologies Covered:


✔ Python – Essential for data analysis & automation

✔ NumPy & Pandas – Data manipulation & processing

✔ Matplotlib – Data visualization techniques

✔ TensorFlow – Deep learning and AI applications

✔ SciPy & Scikit-learn– Machine learning framework

✔ SQL – Database querying and management


Why This Program?


UK Skills Shortage:The UK is experiencing a high demand for data scientists, and this program is designed to make you job-ready for these opportunities.

Industry-Aligned Training:Learn the tools and techniques used by top UK-based companies.

Return on Investment (ROI):Think of this as an investment, not an expense!, you’ll gain skills that can significantly boost your earning potential and career prospects.

UK-Based Credibility:Training with a UK-based firm ensures your skills are aligned with local industry standards, giving you a competitive edge in the UK job market and beyond.


Who Should Apply?


Candidates with basic knowledge of Python and SQL.

Passionate individuals seeking hands-on experience in Data Science.

Those eager to master data-driven skills and work on impactful projects.


Application Process:


1️⃣ Apply via LinkedIn

2️⃣ Take the Proctored Entrance Assessment (Technical Concepts, Aptitude & Psychometric)

3️⃣ Receive Your Microsoft-Partnered Certificate Upon Completion


Limited slots available! Apply now and take the first step towards an exciting career in Data Science!


Additional Information: 


This is alearning-focused, unpaid internshipdesigned to provide hands-on training and experience.

Our team will guide you through the next steps upon application.


Ready to Start?


Don’t miss this opportunity tobridge the UK skills gapand launch your career in data science! Apply now and take the first step toward a brighter future withInt-Elligence Tech Solutions Plc.


For any queries, contact our HR team:



-------------------------------------------------------------------------------------------------------------------

PLEASE READ THE DESCRIPTION CAREFULLY BEFORE APPLYING. IRRELEVANT CANDIDATES STAY AWAY.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.