Top Data Jobs in London

As Legal Counsel, the role involves drafting and reviewing contracts, legal support across business units, monitoring legal developments, and implementing legal processes in a tech environment.

The Data Science Summer Internship involves building data pipelines, conducting data analysis, applying machine learning models, and creating visual reports using tools like Databricks and Snowflake.

Ophelos seeks talented Data professionals for future roles, emphasizing a unique approach to debt management through empathy and innovative AI solutions.

As a Mid-Level Business Analyst, you will analyze business requirements, design data-driven solutions, collaborate with stakeholders, and ensure compliance with security standards in Agile environments.

The Senior Data Analyst - Audience Growth will audit audience data, identify gaps, support data acquisition, generate insights, and collaborate across teams.

Lead the development of innovative technology solutions focusing on data-driven design and automation for global project delivery. Collaborate with design teams to implement advanced digital workflows and support the company's digital transformation initiatives.

The VP of Corporate Development will lead M&A initiatives, manage investor relationships, and coordinate cross-functional teams to execute strategic transactions and integration plans.

As a Senior Data Scientist, you will leverage data to solve complex business problems, implement machine learning and generative AI systems, and drive data-driven decision-making across product and business domains.

As a Data Scientist at QRT, you will work with data to inform trading decisions, prototype data handling code, and solve data related problems.

The Senior Data Science Consultant will design analytics solutions, engage with clients, present proposals, and support sales opportunities in credit risk management.

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

Coordinate global real estate projects, support data analytics and admin tasks, engage stakeholders, and ensure compliance with global standards.

The Data Scientist will implement data science and MLOps standards, lead projects, educate stakeholders, and ensure compliance with regulations.

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.

As a Senior Data Architect, you'll design and maintain data architecture, ensure governance practices, mentor teams, and partner with product and engineering teams to drive data-driven results.

Lead the design and delivery of data reporting solutions for Workforce Strategy, focusing on Power BI and Excel, while engaging with stakeholders and ensuring data accuracy.

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.

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

As a Data Engineer at Starling, you will build cloud-native data warehouses and ML platforms, improving tooling within AWS and GCP.

The Staff Data Scientist will lead high-impact data science initiatives, develop advanced models, mentor others, and ensure responsible AI practices to drive business value.

Lead AI and machine learning initiatives, mentor data science team, design enterprise solutions, and drive measurable impact in financial services.

As a Senior Data Scientist, you'll design and implement data-driven models and analyses to address business challenges and enhance productivity. You'll collaborate with a team to develop predictive models, conduct data analysis, and create visualizations while staying updated with emerging data science methods.

The Solutions Architect role involves guiding architectural decisions, enhancing system design, and ensuring scalability and security in web and mobile applications.

The role involves creating and managing data assets, building data pipelines, ensuring data quality, and providing technical leadership for product teams.

The Market Data Manager will implement market data solutions, manage vendor relationships, ensure compliance, and enhance data quality governance.