Top Data Jobs in London

Join the Data Team at Smarkets to work on developing and maintaining ETL pipelines, services, APIs, and data infrastructure. Responsibilities include data exploration, ML model training, and collaboration with different teams for reporting and automation.

As a Senior Data Engineer at BJSS, you will be responsible for building scalable and re-usable data solutions using software engineering best practices. You will work on deploying data pipelines and processes in a production-safe manner, utilizing a variety of technologies and tools in the cloud. The role involves collaborating with multi-disciplinary teams to deliver modern data platforms for large organizations.

Starling, a leading digital bank, is seeking a Data Scientist with Marketing experience to drive growth through effective marketing strategies using machine learning and statistical modeling.

The Data Operations analyst is responsible for maintaining the core set of data required to support ION’s hosted solutions. This includes validating data accuracy, investigating and resolving data incidents, communicating updates to clients, and working with data vendors and exchanges. The analyst plays a key role in ensuring client satisfaction and system functionality in a fast-paced environment.

Data Engineer responsible for understanding, cleaning, managing, and sharing trading data. Analyzing datasets, automating ETL processes, and collaborating with traders and software engineers. Prior financial data experience not required.

Join a dynamic team at Ascent as a Senior Data Scientist, working on complex Shiny solutions and supporting end-to-end pipelines. Become a trusted consultant for customers, advise on technical solutions, and drive innovation in solution design. Utilize R programming skills and advanced Shiny development knowledge to deliver successful projects.

Verisk is seeking an experienced Data Scientist to lead a team of junior data scientists in developing analytics models using Python, GLMs, and machine learning. The role involves building new analytics products and collaborating with multiple teams to deliver high-quality results.

As a Data Engineer in the WPP Enterprise Data Group, responsible for designing and implementing scalable data solutions. Focus on large-scale data ingestion, processing, storage/querying, streaming, and batch to ensure enterprise-scale data transformation. Work with a team of Data Engineers to deliver world-class solutions using key technologies like Databricks on Azure. Embrace a culture of lifelong learning and collaboration.