Top Data Jobs in London
The Data Analyst will collect and process business data to identify challenges and opportunities, suggest conclusions, and support decision-making. Responsibilities include analyzing data, ensuring accuracy, utilizing statistical tools, creating visual reports, and collaborating with stakeholders to meet their data needs.
As a Data Scientist with Compliance expertise, you will analyze unstructured data to identify compliance risks, generate insights, and assist with data annotation. You will also engage in exploratory data analysis and participate in stakeholder interactions to refine data models and compliance strategies.
As a Data Engineer at Veeva, you will build data tools, enhance data quality, collaborate on data solutions, and develop a data validation framework. You will be essential in harmonizing global data operations to support the success of the OpenData initiative.
As a data engineer at Veeva Systems, you will improve data pipelines on the Veeva Link platform, focusing on innovation and enhancements. Responsibilities include working with JVM-based languages or Python, collaborating with data science teams on machine learning models, and maintaining software principles for quality in data processing.
As a Data Engineer, you will model, extract, join, and securely share data for client banks, enhancing reporting tooling for better insights, and assisting platform engineers in improving data modeling and documentation accuracy.
The Data Annotation Specialist for Hebrew will engage in tasks like data tagging, validation, classification, and image identification while ensuring data accuracy and consistency. This entry-level role includes learning support to gain experience in the AI industry.
The Principal Data Consultant will design and deliver enterprise-level data solutions, utilizing Azure tools and SQL analytics to create and implement big data environments, assisting businesses in gaining insights from their datasets.
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As a Senior Data Engineer, you will develop and maintain ETL pipelines, ensure the health of data warehouses, and provide access to data through Flask services and Postgres databases while assisting teams with automated reporting and data exploration for business insights.
Featured Jobs
The Market Data Specialist will improve and support the Security Master and Corporate Action Management systems, focusing on data quality, cleaning, validation, and resolving internal client support issues while interfacing with data providers.
The Data Engineer will analyze and manage data to support trading, focusing on understanding, cleaning, and sharing datasets. Responsibilities include automating ETL processes, checking for anomalies, and collaborating with traders and software engineers to generate insights.
As a Data Engineer at WPP, you will design and implement scalable data solutions focusing on large-scale data ingestion and processing using Databricks on Azure. Responsibilities include building and maintaining data pipelines, ensuring data governance, and delivering data migrations and warehousing solutions.
The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.
As a Lead Data Scientist at Experian, you will develop and implement machine learning models and analytical tools for credit risk. You will collaborate with various teams, drive product development, and ensure compliance with regulatory changes while leveraging your Python expertise.
As a Senior Data Scientist at Checkout.com, you will develop a growth forecasting engine while collaborating with Strategic Finance and Revenue Operations teams. You'll enhance data quality, provide insights for business strategy, and lead analytics best practices.
The Staff Data Architect will drive improvements in scalable data products and foster best practices in data governance and modelling. This role involves designing data architecture, advising stakeholders on data strategies, and encouraging teams to adopt and self-service data solutions to enhance business performance.
As a Staff Data Scientist at Checkout.com, you will lead the design, development, and deployment of LLM-based solutions, collaborating with product managers and engineers to enhance product features and optimize business processes using advanced NLP technologies.
As a Data Scientist, you will analyze large data sets to identify opportunities for optimization and test the effectiveness of various actions. You will develop algorithms and data models, apply data mining techniques, and conduct statistical analyses to create high-quality predictive systems.
The Data Analytics role involves transforming data into insights to inform business decisions. Responsibilities include conducting lifecycle analysis, developing reporting capabilities, and monitoring performance for quality improvement.
As a Lead Price Comparison Data Analyst, you will analyze insurance price comparison data, transforming it into engaging insights for non-technical stakeholders. You will collaborate with various teams to optimize pricing models and present data findings to senior leadership, driving customer insights and business strategies.
As an Entry-Level AI Data Rater, you will evaluate e-commerce data, follow specific guidelines for research, and rate the usefulness of product filters. This role offers comprehensive training and is ideal for entry-level candidates eager to gain experience in AI technologies.
The Data Scientist will lead innovative solutions by leveraging machine learning algorithms, defining data pipelines in MS Azure, and collaborating with design teams to integrate data insights into the design process, all while supporting a data-driven community within the firm.
The Product Data Analyst drives key product decisions through data and analytics. They collaborate with product teams to conduct critical analyses, identify user behavior patterns, and implement measurement plans for product analytics. They design and maintain reporting systems to support data-driven operations and decisions.
As a Senior Data Engineer, you'll design, build, and maintain data infrastructure, ensuring data pipeline reliability and efficiency. Collaborate with cross-functional teams, enhance data quality, implement automation, and manage data transformation workflows to deliver high-quality data solutions.
The Associate, Data Privacy will support the implementation of the global data privacy program, manage compliance with privacy regulations, and assist senior leadership in data privacy activities. Responsibilities include developing strategies to minimize compliance risks, managing project timelines, and supporting various business requests related to data privacy.
The Data Annotator will accurately extract, label, and annotate data from various financial documents. Responsibilities include ensuring the quality of automated data extraction, correcting OCR errors, and collaborating with teams to optimize processes. This role plays a key part in enhancing operational workflows and supports machine learning model training.
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