Data Scientist

London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Supply Chain Optimisation

Data Scientist - (6-12 Months)

๐Ÿ“ London, N1 9GU | Hybrid Working

๐Ÿ•’ 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.

๐Ÿ”Ž 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.

โœจ 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

๐Ÿ“Œ What We're Looking For

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

โœ… At least two years of experience in Machine Learning

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

โœ… Experience with deep-learning frameworks like TensorFlow and PyTorch

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

โœ… Ability to conduct successful A/B and multivariate tests

โœ… 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.

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 highโ€‘impact contracts is crucial. This article highlights the new and highโ€‘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, itโ€™s easy to fall into the trap of thinking you must learn everything just to be competitive. Hereโ€™s the honest truth most machine learning hiring managers wonโ€™t say out loud: ๐Ÿ‘‰ They donโ€™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 โ€” no doubt โ€” 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 โ€” 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 youโ€™re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly โ€” often making decisions before theyโ€™ve read beyond the top third of your CV. In the competitive UK market, itโ€™s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production โ€” 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 โ€” from your CV and LinkedIn profile to your cover letter and project portfolio.