Top Data Jobs in London

As a Principal Data Scientist, you will apply advanced data science techniques to solve marketing analytics problems for CPG clients, focusing on Market Mix Modeling and ROI analytics. You'll work closely with client teams to deliver actionable insights, develop models, and translate business questions into data-driven solutions. Strong communication and analytical skills are essential to lead projects and interact with stakeholders.

The Senior Data Analyst will work with finance teams to drive financial strategy and automate processes using data tools. Responsibilities include forecasting, accounting data modelling, collaborating across teams, automating reports, and ensuring data insights are effectively utilized.

The Data Analyst will analyze blockchain and AI-driven data to provide actionable insights for product strategy and development, collaborate with stakeholders for data needs, maintain data pipelines, create dashboards, support ad hoc requests, and write technical documentation.

As a Senior Data Engineer, you will build large-scale speech and audio data pipelines, work on machine learning projects for generative AI, and collaborate with engineers and stakeholders to deliver maintainable code. Additionally, you will ensure high-quality datasets for training machine learning models and promote best practices within the team.

The Senior Software Engineer, Data will work on evolving BenchSci’s Knowledge Graph, integrating public life science data, and improving data pipelines and tooling for self-service data access. Responsibilities include collaborating with ML and data engineers, solving data extraction challenges, designing scalable solutions, and contributing to team processes in an agile environment.

As a Senior/Staff Data Engineer at StackAdapt, you'll design scalable data pipelines, implement machine learning algorithms, and work on microservice architectures. You will collaborate with data scientists and engineers to tackle complex data challenges in digital advertising.

As a Senior Data Scientist at StackAdapt, you will innovate machine learning algorithms to enhance advertising performance, collaborate with data engineers on production code, and prototype algorithms using historical data. You will leverage your expertise in statistics and algorithms to tackle complex data science challenges. The role is fully remote, open to candidates in the UK.

The Senior Data Consultant will focus on delivering enterprise-level applications in Business Intelligence and Data Analytics, while mentoring others and ensuring client satisfaction. The role involves project work on Microsoft Azure and SQL Data Analytics solutions, supporting internal community development, and engaging with clients directly.

The Data Consultant role involves delivering enterprise-level applications in Business Intelligence and Data Analytics. Responsibilities include working with Microsoft Azure and SQL Data analytics products, ensuring client satisfaction, supporting development, and contributing to the Data&AI community.

The Principal Data Consultant is responsible for designing and delivering enterprise-level data solutions using tools like Azure, Databricks, and Hadoop, focusing on customer requirements and contributing to community efforts. The role involves collaboration, strategic decision-making, and expertise in SQL and Power BI for data visualization.

The Data Architect at Mintel will design and implement data models, establish data architecture standards, and collaborate with various teams to deliver scalable data solutions. Responsibilities include creating data models, supporting data engineering teams, and identifying best practices in data management.

The Data Senior Manager, Growth is responsible for leveraging data to drive growth strategies and optimize decision-making. Key responsibilities include developing attribution models, calculating channel-level CACs, designing experiments, and creating dashboards that provide insights into growth performance.

The Lead Data Engineer will oversee the Gross Margin pipeline, driving technical vision, managing a team of engineers, and ensuring scalable, efficient data processing. Responsibilities include leadership in product design, enhancing team capabilities, and ensuring data quality to support financial analysis and decision-making across the business.

The Lead Data Engineer at Octopus Energy will manage the Gross Margin pipeline, ensuring accurate financial reporting and analysis through high-quality data. Responsibilities include leading a team of engineers in developing scalable technology solutions and fostering a collaborative team environment. The role requires oversight of technical outcomes and best practices, as well as hands-on contributions to coding and design.

The Data Protection & Privacy Manager will lead data compliance initiatives, focusing on embedding data protection and privacy culture across the organization. Responsibilities include developing privacy policies, managing data subject requests, conducting impact assessments, and ensuring compliance with regulations such as GDPR and CCPA. The role requires a collaborative approach to align data privacy practices with business strategy.

The role involves creating high-quality predictive signals by leveraging large datasets to identify statistical patterns. Responsibilities include sharing research results and discussing methodologies with other researchers.

As a Data Architect Consultant, you will lead client projects, assess technical needs, identify data sources, and design data solutions including on-premise and cloud-based architectures. You will also develop data governance strategies and support clients in data analysis, machine learning, and business intelligence reporting, all while ensuring data security and compliance with legislation.