Top Data Jobs in London

The Portfolio Data Associate is responsible for managing the Portfolio Data team's performance, ensuring accurate data delivery, conducting validation checks, and collaborating with investment teams to analyze portfolio data.

Develop and optimize large language models for NLP tasks, conduct research, collaborate with teams, and communicate technical concepts. Requires a strong background in machine learning and active involvement in model deployment and performance evaluation.

Lead and develop complex data engineering initiatives focusing on metadata ingestion and orchestration, utilizing Azure and Databricks. Mentor junior engineers and enforce best practices while collaborating with stakeholders to optimize data solutions.

The Data Engineer will develop data pipelines, manage API strategy, ensure data quality, and shape the technical vision of the platform.

The Head of Investor Data Strategy will lead data initiatives, develop data strategy, and oversee the Investor dataset in the asset management sector.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

Looking for a Senior Data Scientist to optimize marketing spend using causal inference techniques. The role involves code development, mentoring, and collaboration across teams.

As a Data Scientist Analyst, you will assist in client projects, analyze data, support model development, and communicate insights effectively.

The role involves supporting data solutions by assisting in ETL processes, data modeling, and stakeholder communication while gaining data engineering skills.

The role involves driving value in Global Procurement for Digital, Data & E-Commerce, leading sourcing strategies, and effectively managing relationships with suppliers and agencies to optimize returns.

The Commercial Data Analyst will manage commercial data to drive business growth, define KPIs, implement data strategies, and support sales and marketing through data governance and integration.

The Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.

Develop data science-driven algorithms to enhance business processes, focusing on risk management and debt collection while optimizing credit services offered.

The role involves technical sales strategies for VAST Database, delivering presentations, leading proof-of-concepts, and supporting post-sales success across UK and EMEA.

The Database Sales Executive will drive sales and adoption of VAST Database solutions across UK enterprise accounts, managing complex sales cycles and engaging with senior technical decision-makers.

The Head of Data will shape the data strategy, lead a team in implementing data solutions, and ensure compliance with data governance while driving a culture of data literacy.

As a Manager in Marketing Mix Modelling, you will lead analytics projects, manage client relationships, and provide actionable insights for marketing strategies while navigating complex data.

Lead the development of the cQuant platform by designing and implementing complex features, mentoring developers, and optimizing performance across full stack applications.

As a Project Planner, you'll create and manage project schedules for data centre construction, optimize design programs, and coordinate with teams to ensure timely project delivery while maintaining compliance with standards.

As a RevOps Data Engineer, you will build and maintain revenue data models, integrate various data sources, and create metrics that drive business decisions across teams.

The role involves advising on data protection and cyber security compliance, working with various teams to address legal issues related to data usage in products and marketing.

The Data Operations analyst maintains client trading data, resolves incidents, communicates with clients and vendors, and ensures data accuracy while understanding exchange specifications.

The Head of Data & AI leads initiatives in data and AI, focusing on remediation, governance, infrastructure development, and collaboration with various teams to ensure ethical AI use and data-driven decision-making.

As an Applied Data Scientist, you will leverage machine learning and analytical techniques to develop impactful solutions, while collaborating with a skilled team to address complex client challenges.

As a Senior Data Engineer, you will build and optimize data pipelines, manage AWS data infrastructure, and ensure data quality while collaborating with teams to translate business needs into reliable data solutions.