Data Scientist

We Are Aspire
London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Hays Technology London, United Kingdom
£600 – £1,000 pd

Data Scientist

ISR Recruitment Exeter, Devon, United Kingdom
£50,000 – £60,000 pa Hybrid

Data Scientist

Faculty AI London, United Kingdom
Hybrid

Data Scientist

Data Idols Farringdon, London, EC1M 4BJ, United Kingdom
£85,000 – £95,000 pa

Data Scientist

Vallum Associates London, United Kingdom

Data Scientist

Randstad Technologies Recruitment London, United Kingdom
Posted
4 Jun 2025 (11 months ago)
Share
Save job
Create job alert

Data Scientist - (6-12 Months)

📍 London, N1 9GU | Hybrid Working

🕒 Start Date: July 2025

Are you a talented Data Scientist looking to make an impact in a and influential organisation? This is an exciting opportunity to use your analytical expertise and machine learning skills to enhance audience engagement strategies, improve user experience, and drive innovative solutions.

🔎 About the Role

You'll be working across diverse teams, Editorial, Marketing, Sales, Product, and Engineering, to develop improving-edge models, generate meaningful insights, and ensure data-driven decision-making. Your work will contribute directly to the organisation's mission of informing and engaging audiences.

✨ Key Responsibilities

Use advanced data analytics techniques to uncover audience behaviour trends
Develop predictive models and machine learning algorithms to enhance decision-making
Collaborate with cross-functional teams to shape data-driven solutions
Design and conduct experiments, refining models for continuous improvment
Enhance data infrastructure and tools for streamlined ML lifecycle management
Present complex findings in an accessible way for technical and non-technical stakeholders
Ensure ethical data handling and compliance with privacy regulations

📌 What We're Looking For

✅ An advanced degree in Statistics, Mathematics, Physics, Computer Science, or a related field

✅ At least two years of experience in Machine Learning

✅ Strong proficiency in Python (NumPy, Pandas, Scikit-Learn) and SQL

✅ Experience with deep-learning frameworks like TensorFlow and PyTorch

✅ Knowledge of cloud services (AWS, Google Cloud) and productionising ML models

✅ Ability to conduct successful A/B and multivariate tests

✅ A keen curiosity and proactive approach to problem-solving

We Are Aspire Ltd are a Commited employer

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

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.

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.

🍪 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.