Top Data Jobs in London
The Data Analyst will build data analytics and reporting solutions, identify process inefficiencies, collaborate with business groups for data integration, and support various teams with data-driven insights and reporting.
As a Data Scientist on the Marketplace team, you will define metrics, produce insights, and develop predictive models to optimize the ride-hailing experience. You will work closely with Data Analysts to create a framework for performance measurement and improve the internal reporting capabilities for the team and leadership.
As a Sr. Data Engineer at Pismo, you will be responsible for the operation and monitoring of file and event systems, ensuring they meet SLAs, and participate in designing high-complexity features. You will enhance data platform architecture, optimize operational efficiency, and collaborate with internal and external teams.
The Lead Data Privacy Analyst will ensure compliance with data privacy regulations, manage data-related requests, oversee data governance frameworks, and conduct privacy reviews. Responsibilities include maintaining a data inventory, monitoring compliance activities, collaborating with various teams, and managing privacy incidents.
As a Senior Data Scientist, you will lead the development of innovative data products, process large datasets, perform cross data source analyses, and provide insights for product improvement. You will collaborate with various teams and have ownership of data metrics, translating business requirements into technical solutions.
As a Data Scientist/Senior Data Scientist at C3.ai, you will design and deploy Generative AI solutions for industrial customers, collaborating with experts to enhance AI capabilities on the C3 AI Platform. Responsibilities include developing machine learning models, fine-tuning LLMs, and driving the adoption of AI products in enterprise applications.
As a member of the C3 AI Data Science team, you will design and deploy machine learning algorithms for applications like fraud detection. Responsibilities include collaborating with experts to utilize data effectively, driving adoption of deep learning systems, and addressing algorithm limitations for large-scale implementation.
As a Quantitative Developer/Analyst in the Data Search & Analytics team, you will source and onboard new datasets, solve data-related problems, and manage the lifecycle of data sourcing projects. You will work closely with trading desks to enhance productivity using your programming skills, particularly in Python.
Featured Jobs
As a Senior Data Engineer, you will build and maintain data integration pipelines while collaborating with traders and researchers to ensure data accuracy and reliability. You will develop scalable data architectures and optimize workflows for alternative commodity and macro data.
Develop and maintain web scraping tools to create datasets for research and trading, while integrating datasets from various sources and supporting users like Quants and Traders in managing extensive datasets and monitoring data health.
As a Senior Research Data Scientist at dunnhumby, you will create new science-based solutions, apply advanced machine learning techniques to client data, perform exploratory data analysis, and ensure project smoothness by collaborating with team members. You will also identify new opportunities within the data science space and communicate your findings to internal stakeholders.
As a Senior Data Engineer, you'll work with clients to build and maintain data applications and systems, using modern tools and a DataOps culture. You will engage in deploying data pipelines and participate in various agile projects within multi-disciplinary teams, focusing on cloud data services and effective code practices.
As a Data Science Evangelist at DataCamp, you will create and manage content initiatives such as webinars, podcasts, and blog posts. You will ensure engaging educational experiences for the data community, collaborating with stakeholders to amplify DataCamp's reach and thought leadership in data science and analytics.
As a Senior Applied Data Scientist at dunnhumby, you'll utilize your expertise in machine learning and analytical techniques to provide insights and solutions for clients. You'll work on developing and deploying complex applications focusing on improving customer experiences through data analysis and statistical modeling.
The Junior Data Engineer will gather requirements, support data management tasks, ensure data integrity, and automate processes for high-quality data delivery while maintaining documentation and generating reports.
The Tech Lead for the Data Platform will be responsible for executing Kobalt's Data Platform Strategy, enhancing business efficiency, and driving innovation using data and AI. Responsibilities include leading data platform projects, engaging with stakeholders, and implementing scalable tooling for data products.
The Data Operations Associate at PitchBook will gain proficiency in the internal Research Tool Suite and outreach tools. Responsibilities include executing email and phone contact campaigns, creating outreach strategies, processing client requests, and ensuring data accuracy for the PitchBook Platform.
The Data Architect will lead data architecture designs aligned with client needs and governance frameworks, contributing to projects in financial services. Responsibilities include transforming data management operating models, implementing data systems, and applying data methodologies like DCAM and DAMA DMBoK. The role demands expertise in AI, Business Intelligence, data governance, and knowledge of data technologies and hyperscaler capabilities.
Lead Data Engineer role at a health technology platform creating new data and clinical insight services. Responsible for architecting data flows, developing analyses using medical NLP, and implementing reports and dashboards. Work with Google Cloud Platform, PHP, Python, Typescript, MySQL, and BigQuery. Remote working options available.
As a Senior Data Scientist at Monzo, you will enhance user engagement by analyzing data and guiding CRM teams. You will lead A/B testing initiatives, measure user lifetime value, and work collaboratively with data scientists and product teams to optimize communication strategies.
The Customer Data Analyst will gather, integrate, model, and analyze customer data from various sources. Responsibilities include data collection, modeling, reporting, campaign analysis, customer segmentation, tracking KPIs, collaboration across teams, ensuring data quality and governance, and creating visualizations for stakeholder communication.
The Azure Data Architect will lead the design and delivery of data and analytics solutions for HSO’s customers, focusing on data strategy and architecture. Responsibilities include defining standards, developing reusable patterns, ensuring best practices, and providing technical leadership for project teams.
The HR Data, Insights & Reward Manager leads the analytics and reporting functions within the HR team. Responsibilities include managing a small team, utilizing data analytics for actionable insights, maintaining compensation structures, participating in union negotiations, and driving HR systems digital transformation primarily using Workday.
Lead Data Architect role at Aker Systems focusing on designing and implementing secure, scalable, and resilient data architectures on AWS and other cloud platforms. Responsibilities include engaging with stakeholders, providing strategic guidance, mentoring a team of data professionals, and ensuring compliance with industry standards and regulations.
The Senior Data Scientist will develop advanced algorithms for generative AI, conduct data analysis to derive insights, and train models in a collaborative environment focused on the shipping and industrial sectors. They'll stay updated on AI advancements and tailor solutions to specific industry challenges.
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