Top Data Jobs in London

As a Lead/Staff Backend Engineer, you will design and scale the core API and data systems, mentor engineers, and influence technical strategy.

As a Senior Data Engineer, you will design and develop large-scale data processing solutions and lead technical components in agile teams.

As a Senior Director Analyst, you will research data management solutions, provide insights, support sales efforts, and deliver high-value presentations.

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

The Data Analyst will support Production Finance with data extraction, transformation, and analysis for EMEA, collaborating with various stakeholders to provide insights and improve data quality.

The Lead Data Manager will oversee data acquisition and curation for a SaaS platform, ensuring data governance and privacy standards while collaborating with stakeholders to manage genomic data effectively.

As a Principal Data and AI Architect, you'll lead technical design for AI solutions, guide customer integrations, and ensure effective use of Salesforce data platforms to drive business impact.

The Principal Data and AI Architect will collaborate with clients to develop innovative data and AI solutions, driving product adoption and success in a dynamic environment.

As a Senior Data Discovery and Enrichment Expert, you will engage in data enrichment activities, stakeholder engagement, and data analysis while collaborating with cross-functional teams to ensure quality standards.

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

As a Staff Data Scientist, you'll develop predictive models for cash flow, analyze diverse data sources, improve customer experience, and monitor model performance.

The Data Science Manager at Wayflyer leads a team of Data Science and ML Engineers, overseeing the ML lifecycle and collaborating on data-driven strategies to support business growth.

As a Senior Credit Risk Data Scientist, you'll lead credit risk modeling, develop data-driven lending strategies, and ensure statistical rigor in model performance while writing production-grade code for underwriting systems.

Lead data migration strategies and implementation across hybrid cloud environments, design data pipelines, and optimize scalable systems while collaborating on AI projects.

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

Lead an agile delivery team in all aspects of the data and analytics lifecycle, designing scalable data platforms and solutions and influencing project success.

The role involves building and operating a data platform, ensuring data discoverability and query-ability, and mentoring team members.

The Principal Engineer will lead the development of large-scale AI infrastructure, focusing on GPU orchestration, data systems, and technical mentorship within a diverse team.

The Senior Data Engineer will build and maintain data infrastructure, develop APIs, and ensure seamless data access for tech, data science, and business teams, focusing on scalability and usability.

Provide actionable insights by analysing large datasets, building dashboards, models and proofs-of-concept, measuring campaign ROI, answering stakeholder questions, and improving reporting and data practices.

Lead cross-team design and delivery of ML-ready data platforms and pipelines. Embed with ML teams to build scalable data infrastructure using SQL, Spark/Ray, Python, Airflow and AWS, drive standards, review designs and mentor engineers to enable production ML workloads.

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.

As Data Analytics Lead, you'll improve business performance via analytics, mentor the team, and provide insights for strategic decision-making.

The Data Scientist will develop and implement AI and machine learning models, lead ML Ops, and ensure alignment with business goals.

Lead and grow a Data Science chapter, architect and deliver AI/ML/LLM solutions, establish MLOps and governance, mentor junior staff, collaborate with engineering and business stakeholders to drive productionised analytics and innovation.