Top Data Jobs in London

As a Senior Data Scientist, you will develop and deploy machine learning models, collaborate with stakeholders, and mentor team members, focusing on delivering impactful AI solutions within the insurance sector.

The Market Data Analyst will oversee data quality and operations for metals and minerals, monitor market trends, support clients, and improve data workflows using SQL and Python.

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.

As a Data Engineer, you'll develop data pipelines, manage data integration and transformation, and support analytics and intelligence projects for government clients.

The AWS Data Platform Engineer will build and maintain data pipelines, improve data infrastructure, collaborate with teams, and ensure data reliability.

The Data Engineer will architect and build data platforms, manage datawarehouses, support production systems, and collaborate with portfolio managers and developers to meet business needs.

The Senior Data Platform Engineer will lead the development of scalable Snowflake services, automation, CI/CD pipeline design, and security controls to optimize data-driven healthcare projects.

The Data Scientist develops data pipelines, machine learning models, and optimization models, integrating features into the product's technical stack and business processes.

The Data Engineer will design and build production-grade data pipelines and architectures for AI solutions, ensuring data quality and collaborating with cross-functional teams.

The Principal Data Scientist will lead best practices in AI/ML experimentation and model governance, ensuring methodological rigor and effective collaboration with domain experts and AI teams.

Lead organization’s reward programs, optimizing HRIS functionality, managing compensation and benefits, and ensuring compliance and analytics for decision-making.

The HR Data Analyst ensures robust data integrity and reporting, supports strategic workforce planning and adherence to policies, while analyzing compensation data and assisting with HRIS support.

The Data Engineering Functional Lead will develop and scale data systems to support AI and Analytics, ensuring compliance and effective delivery. Responsibilities include strategic leadership, building data platforms, and fostering a collaborative team culture.

As a Data Engineer, you will design and build data pipelines, models, and infrastructure for analytics and machine learning while ensuring data quality and compliance.

The Senior Data Analyst will establish frameworks for analytics, build data models, and create dashboards to support data-driven decision-making throughout the organization, focusing on healthcare data insights.

Lead data science projects, build machine learning models, and mentor junior members while collaborating with business stakeholders to deliver data-driven solutions.

The Senior Data Scientist will lead AI projects, mentor junior staff, design software architecture, and engage with clients to deliver quality data science solutions.

As a Senior Data Scientist, design AI agents, perform data analysis, lead teams in data science projects, and ensure technical solutions drive real value.

Lead innovative data solutions across various sectors by engaging stakeholders, delivering technical projects, and developing team capabilities while promoting data-driven insights.

Seeking a Data Consultant for innovative data-driven solutions across sectors like rail and energy, focusing on stakeholder engagement and technical project delivery.

The Data Integrity Specialist will maintain stock accuracy, investigate discrepancies, and improve data quality within logistics and manufacturing environments.

The Senior Data Engineer will design, maintain, and optimize scalable data pipelines, ensuring data quality and governance while collaborating with stakeholders to meet data needs.

As a Senior Data Engineer, you will design and manage data ingestion pipelines, ensuring scalability, reliability, and quality of data for analytics and machine learning purposes. You'll collaborate with cross-functional teams to define data standards and governance while promoting self-service and standardization across the organization.

As a Senior II Data Engineer, you'll build and own ingestion pipelines and data lakes, ensure data quality, and lead cross-functional initiatives for analytics and ML applications.

The IT Operations and Systems Specialist ensures efficient and secure IT systems, providing technical support, managing procurement, contributing to cyber security, maintaining systems, and training users while supporting IT projects and automating workflows.