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Top Data & Analytics Jobs in London

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Yesterday
London, Greater London, England, GBR
950 Employees
Senior level
950 Employees
Senior level
Consumer Web • Information Technology • Sales • Software
The Senior Data Scientist will develop and deploy AI/ML models to enhance B2B SaaS products, analyzing data and engaging stakeholders to drive initiatives, focusing on features like prediction, natural language processing, and recommendation systems.
Yesterday
London, Greater London, England, GBR
950 Employees
Senior level
950 Employees
Senior level
Consumer Web • Information Technology • Sales • Software
As a Staff Data Engineer at Trustpilot, you'll optimize the data ecosystem, lead the design of data infrastructure, improve existing data pipelines, and ensure data governance processes. Responsibilities include developing data management strategies, implementing data ingestion and transformation pipelines, optimizing data processing, and mentoring junior engineers.
Yesterday
London, Greater London, England, GBR
950 Employees
Mid level
950 Employees
Mid level
Consumer Web • Information Technology • Sales • Software
As a Machine Learning Engineer, you will deploy and maintain machine learning models, collaborate with data scientists and engineers, build data pipelines, implement CI/CD for ML, and monitor model performance to optimize AI solutions.
Yesterday
London, Greater London, England, GBR
950 Employees
Entry level
950 Employees
Entry level
Consumer Web • Information Technology • Sales • Software
As a Data Analyst at Trustpilot, you will collaborate with teams across Commercial/Marketing and Trust to provide data-driven insights, enhance decision-making, and support business strategies through proficient analytics, insights, and reporting using various analytical tools.
Yesterday
London, Greater London, England, GBR
950 Employees
Senior level
950 Employees
Senior level
Consumer Web • Information Technology • Sales • Software
The Senior Salesforce Business Analyst will enhance the Salesforce platform performance, manage product lifecycle, analyze business processes for optimization, and maintain data integrity while collaborating with cross-functional teams.
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