Junior Data Scientist

Intellect Group
1 year ago
Applications closed

Related Jobs

View all jobs

Junior Data Scientist / Data Analyst

Junior Data Scientist - AI Practice Team

Junior Data Scientist - AI Practice Team

Junior Data Scientist Python SQL - HealthTech

Senior Data Scientist - AI Practice Team

Senior Data Scientist

Are you a curious and driven Graduate eager to shape the future through Data and Artificial intelligence? We’re looking for a Graduate Data Scientist to join our dynamic London-based team and make a real impact!In this role, you’ll work closely with experts across the organisation to analyse large datasets, build predictive models, and leverage artificial intelligence techniques to deliver actionable insights that drive strategic decisions. Your contributions will directly shape innovation and growth, giving you the chance to showcase your analytical, problem-solving, and technical skills.What’s in it for you?Innovative Projects: Work on exciting data science and AI initiatives that challenge and inspire.Professional Growth: Access to training, certifications, and mentorship to develop your skills and expertise.Supportive Environment: Join a collaborative team that values creativity and curiosity.Attractive Package: Competitive salary, benefits, and opportunities for advancement tailored for graduates.What We’re Looking For:A degree in Data Science, Mathematics, Computer Science, or a related field.Knowledge of programming languages such as Python, R, or SQL.Exposure to machine learning frameworks (e.G., TensorFlow, Scikit-learn) and artificial intelligence concepts.Strong analytical skills and a passion for uncovering insights through data and AI.Excellent communication skills to present complex findings in a clear, concise manner.If you’re ready to take your first step in the world of data science and artificial intelligence, this is the perfect opportunity to do so. Join us and turn data and AI into actionable intelligence—together!Apply now and shape the future of our AI-driven journey!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.