Top Data Jobs in London

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

The Associate Director of Audience & Data Strategy leads audience and data strategy for key clients, managing projects and leveraging audience insights for marketing strategies.

The Data Research Analyst will support content creation by conducting competitive analysis, overseeing data quality, and coordinating with research teams to deliver insights on financial products, particularly in lending services.

The role requires editing data-rich content, ensuring accuracy, fact-checking, and liaising with content teams while managing editorial deadlines.

This internship involves data analysis, validation, and campaign optimization, while collaborating with stakeholders to enhance product performance.

The Head of Data and AI will build and execute AI strategy, integrating innovative tools to automate and enhance organizational workflows. Responsibilities include strategic planning, deploying AI solutions, ensuring ethical practices, and developing proprietary tools for client engagement.

The Senior Pricing Data Scientist will build and enhance ML pricing engines, run experiments, create data science products, and communicate findings effectively.

As a Data Engineer II at Spotify, you will design scalable data pipelines, collaborate with finance stakeholders, and enhance engineering practices within a cross-functional team.

As a Principal Data Analyst, manage data processing, build data pipelines, ensure data quality, mentor junior analysts, and collaborate on improvements in data methodologies.

The role involves building a large-scale event streaming platform, mentoring teams, supporting cloud-based technologies, and developing streaming applications using tools like Kafka and Flink.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

Develop data science-driven algorithms to enhance business processes, focusing on risk management and debt collection while optimizing credit services offered.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

Develop and optimize large language models for NLP tasks, conduct research, collaborate with teams, and communicate technical concepts. Requires a strong background in machine learning and active involvement in model deployment and performance evaluation.

The Analytics Engineer designs and implements ETL solutions for data integration into Data Lakes/Warehouses, enabling effective data analysis.

The role involves technical sales strategies for VAST Database, delivering presentations, leading proof-of-concepts, and supporting post-sales success across UK and EMEA.

The Database Sales Executive will drive sales and adoption of VAST Database solutions across UK enterprise accounts, managing complex sales cycles and engaging with senior technical decision-makers.

As Lead Data Scientist, oversee project teams delivering AI solutions, mentor junior team members, and shape technical strategy for financial services clients.

As a Senior Data Scientist, you will lead teams to deliver algorithms for clients in defense, mentor junior data scientists, and ensure projects meet technical feasibility and timelines.

As a Data & AI/ML Architect, you will conduct workshops, oversee project delivery, design architectures, and mentor juniors while engaging with clients.

As a Senior Data Scientist, you will build and implement machine learning models for credit risk, optimize data use, and mentor junior team members.

The Data Engineer will design, build, and maintain scalable data infrastructure, ensuring data accessibility for analysis and driving decision-making across the company.

As a Manager in Marketing Mix Modelling, you will lead analytics projects, manage client relationships, and provide actionable insights for marketing strategies while navigating complex data.

The Head of Data & AI leads initiatives in data and AI, focusing on remediation, governance, infrastructure development, and collaboration with various teams to ensure ethical AI use and data-driven decision-making.

As a Data Engineer at Helsing, you will lead and automate data acquisition and labeling processes for AI development, support data preparation pipelines, and collaborate with engineering teams.