Junior Data Scientist

Cambridge
3 months ago
Applications closed

Related Jobs

View all jobs

Junior Data scientist

Junior Data Scientist / Data Analyst

Junior Data scientist

Lead Data Scientist

Data Science Placement Programme

Data Science Placement Programme

Junior Data Scientist
Full-time, Permanent
UK Remote based role with regular visits to Cambridge offices
£30,000 - £45,000 Negotiable dependant on experience

About them

Metail Limited is a small, leading software technology development company with a strong
R&D focus on machine learning and AI. We work closely with our parent company TAL Apparel, who are a leading global garment manufacturer. TAL Apparel is committed to innovation, sustainability and customer satisfaction and the work we do at Metail supports their vision.
All staff are given access to a WeWork membership allowing all employees to work remotely across the UK. The team meets in Cambridge on a regular basis and we would expect the successful candidate to travel to Cambridge.

The Role

We are seeking a Junior Data Scientist to support both Metail and our parent company TAL Apparel. This is a fast-paced role where you will work on multiple projects simultaneously, gaining valuable exposure to a broad range of data initiatives.
The successful candidate will be a self-starter who is enthusiastic about data science, motivated to solve real-world problems, and eager to learn quickly. You will gain hands-on experience across the full data science lifecycle and have the opportunity to work on innovative Large Language Model (LLM) and Generative AI applications.

About you

This exciting opportunity is open to applications from entry level but also welcomes those with c 1-2 years' experience looking to develop in the cutting edge of Data Science space.

We are looking for the post-holder to have the following skills and experience:
• Degree in data science, computer science, mathematics, statistics or a related quantitative discipline
• Hands-on proficiency with Python and experience in typical data science libraries
• Strong statistical analysis skills and ability to apply them to real-world problems
• Keen interest in AI and familiarity with the latest LLM developments
• Knowledge of machine learning concepts and predictive models
• Curiosity and adaptability - you enjoy working on varied projects and are eager to learn new technologies
• Self-motivated, capable of working independently without regular supervision
• Strong time-management skills and ability to deliver high-quality work under tight deadlines in a fast-paced environment
• Ability to communicate with various stakeholders from both technical and non-technical backgrounds
• Strong interpersonal skills and ability to work collaboratively in an international team environment

Applications to be made to our recruitment partner, Datatech Analytics, at (url removed)

Applications will be considered upon receipt; therefore, early applications are encouraged. We will only contact those who have been shortlisted.
All candidates must already hold the right to work in the UK when applying for this position.

Metail Limited. is an equal-opportunity employer and encourages candidates from all backgrounds to apply

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.

Careers

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.

Jobs

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.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.