Top Data Science Jobs in London

Lead the data science function at Fresha, building credibility and infrastructure, shipping impactful ML products, and scaling the team to align with business needs.

The Curriculum Manager will oversee the content development lifecycle, recruit instructors, design curriculum, assess course performance, and improve data science and engineering content.

Lead a team of data scientists to innovate in experimentation and causal inference, enhancing decision-making and product strategies through evidence-based methodologies.

The Data Science Manager will lead a team, develop strategies for non-lending products, and manage data science projects while collaborating with senior stakeholders and optimizing product value through data insights.

Lead a data science team to deliver data-driven solutions in life sciences, applying machine learning, NLP, and AI methods. Oversee project management, stakeholder collaboration, and ensure high-quality standards in data science practices.

The Data Science Manager will collaborate with business partners, oversee predictive model building, manage a team, and deliver analytical insights to drive business decisions.

Lead Telematics algorithm development and analysis, manage a team of analysts, and ensure pricing is fair based on driving data.

Create predictive signals by analyzing large datasets, identifying statistical patterns, and discussing methodologies with researchers.

Lead development and optimisation of telematics-driven pricing models. Use telematics data to influence pricing, manage risk spread, reduce customer prices, collaborate with stakeholders, document governance, and manage a small team of analysts while exploring new modelling techniques and data sources.

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

Manage and grow a stable of freelance creators to produce and edit high-quality written and video tutorials on data science, AI, analytics, BI, data engineering and cloud. Write content briefs, edit submissions, combine SEO keyword analysis with domain expertise, and meet targets of 25 articles and 4 videos per month while ensuring quality and deadlines.

Recruit, manage, and edit freelance creators to produce high-quality written and video tutorials on data science, AI, analytics, BI, and cloud. Write content briefs, combine SEO analysis with domain expertise, and meet targets of 25 articles and 4 videos per month while ensuring quality, deadlines, and payment management.

The Data Science Editor will create and edit tutorials on data science and AI, manage freelancers, and improve content through SEO practices.

Develop and refine NLP projects by improving LLM models, implementing production models, and conducting performance experiments.

The Data Scientist will lead client projects, utilize data science techniques, and manage stakeholder relationships while developing scalable models. Strong communication and problem-solving skills are essential, focusing on innovation and collaboration.