Top Data Jobs in London

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

As a Backend Engineer (Data Engineering), design and build scalable data pipelines and infrastructure for processing security data, ensuring reliability and performance.

The Data Scientist will preprocess client data, develop and tune machine learning models, communicate findings, and collaborate with stakeholders to improve risk prevention solutions.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

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

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.

As a Business Development Manager, identify new clients and develop business opportunities while building strong relationships and managing a complex sales pipeline.

The Senior Category Sourcing Manager leads sourcing initiatives, manages contracts across various categories, coaches a team, and implements strategies for cost savings and efficiency.

The Senior Data Engineer will design and build scalable data systems, manage data pipelines, and collaborate with cross-functional teams to ensure data quality, performance, and observability in a fast-paced environment.

The Senior Data Scientist will enhance Game Security and Trust & Safety through data analytics, develop detection systems, and mentor junior members.

As a Senior Data Engineer, you will enhance data infrastructure, optimize data processes, and support analytics for decision-making across teams.

The Data Analyst will analyze logistics data, optimize delivery processes, define KPIs, and collaborate with cross-functional teams to drive operational improvements and insights.

The Data Scientist will develop and deploy machine learning models, focusing on computer vision, NLP, and recommendation systems, while collaborating with engineering teams and product stakeholders.

As a Data Architect at Kainos, you will provide guidance on data architecture, manage a small team, ensure data solutions fit client needs, and engage with stakeholders. You will also lead technical projects and support junior staff development.

The role focuses on maximizing revenue through new client sales, maintaining a pipeline of deals, and developing relationships in the capital markets community. Responsibilities include prospecting new clients, conducting research, mentoring junior staff, and collaborating with internal teams to enhance customer experience.

The Data Engineer will maintain the data stack, optimize reporting systems, and support business needs through efficient data management. Responsibilities include data modelling, managing ETL processes, and ensuring high-quality data availability.

The Data Steward will manage data quality, ensure completeness, accuracy of data across systems, support product launches, and create reports.

The Senior Data Engineer will develop and manage data pipelines and models, enhance engineering efficiency, and mentor junior engineers while supporting various partner teams.

As a Senior Data Enablement Engineer at Depop, you will architect and scale the data platform, develop microservices, and lead initiatives across teams to promote data governance and observability practices.

The Staff Backend Engineer will lead the technical vision for Depop's data platform, focusing on data ingestion, scalability, observability, and architecting data solutions while mentoring team members.

Support the UK Loans team in projects related to pricing and credit optimization using machine learning techniques. Work collaboratively on analytical problems and take ownership of your own models.

Join Lendable as a Data Scientist to develop credit risk models for US unsecured loans and credit cards, utilizing machine learning and extensive data sources.

The Head of Data will lead the firm's trading data ecosystem, ensuring data quality, reliability, and enabling insights across the organization. Responsibilities include defining data strategy, managing data architecture, enforcing governance, and mentoring the Central Data Team.

The Senior Data Engineer will design and maintain data pipelines, collaborate with teams for data analysis, ensure data quality, and lead projects utilizing various data technologies.

As a Data Engineer, you will modernize data infrastructure, develop scalable solutions, and collaborate with teams on data-driven projects.