Data Scientist

We Are Aspire
London
12 months ago
Applications closed

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Data Scientist - (6-12 Months)

πŸ“ London, N1 9GU | Hybrid Working

πŸ•’ 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.

πŸ”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.

✨ 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

πŸ“Œ What We're Looking For

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

βœ… At least two years of experience in Machine Learning

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

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

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

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

βœ… A keen curiosity and proactive approach to problem-solving

We Are Aspire Ltd are a Commited employer

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

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. 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 β€” 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.