Data Scientist

Intellect Group
Sheffield
3 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Junior Data Scientist (Fully Remote – UK)

£40,000+ Salary | Insane Benefits | 100% Remote (UK Time Zone)


📍 United Kingdom · Remote

🕒 Full-time · Monday–Friday


Why This Role Exists

This company is growing fast and data is now at the centre of how decisions are made.

Instead of hiring only senior specialists, they’re deliberately building a junior data science pipeline — bringing in smart, curious people early and training them properly.

If you’ve been learning data science, working on projects, or trying to break into the field, this role is designed for you.


What You’ll Actually Do

You won’t be stuck watching from the sidelines.

You’ll:

  • Work with real datasets used across the business
  • Explore data, find patterns, and test ideas
  • Support model development and experimentation
  • Turn messy data into something useful
  • Help teams understand what the data is telling them

You’ll be guided, mentored, and given time to learn — not thrown in at the deep end.


Who This Is For

This role is intentionally junior.

You might be:

  • A graduate in data, maths, computer science, or a related field
  • Self-taught with personal or portfolio projects
  • A career-changer with strong analytical skills
  • Currently in an analyst role and wanting to move into data science

If you’re curious, logical, and enjoy problem-solving, you’ll fit.


Skills That Help (But Aren’t Deal-Breakers)

  • Python or R
  • Basic statistics or machine learning concepts
  • SQL or working with datasets
  • Any data science or analytics projects

If you don’t tick every box, apply anyway. Training is part of the role.


The Good Stuff

  • £40,000+ starting salary
  • Genuinely insane benefits package
  • Fully remote working (UK based)
  • Clear progression into Data Scientist / ML roles
  • Structured onboarding and mentoring
  • Flexible working hours
  • Supportive, non-corporate culture
  • Long-term opportunity with real growth

How to Apply

If you’re based in the UK and serious about starting a career in data science, apply with your CV.

No long cover letters. No endless stages.


Just apply — we’ll take it from there.

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.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.