Top Data Jobs in London

As a Senior Data Quality Specialist, you will label, rank, audit, and correct machine learning data with a focus on science, logic, and math. You will evaluate text outputs and provide feedback to improve machine learning models, requiring meticulous attention to detail and a strong understanding of STEM subjects.

Join Cohere as an AI Data Trainer to work on training models for AI systems. Responsibilities include writing code, proofreading code and natural language, improving machine-written code, and following style guides. Must have 2+ years of industry experience in data science, proficiency in python, and familiarity with data formats.

The Regional Data Owner will enhance data quality and standardisation for the region, manage data quality activities, establish standards, implement compliance measures, collaborate with stakeholders, and develop regional data products aligned with business objectives.

As a Senior Product Data Scientist, you will analyze product data, define success metrics, collaborate with cross-functional teams to improve products, and foster a data-driven culture. You will lead experiments and build measurement frameworks to quantify product development ROI while providing actionable insights.

The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.

The Data Engineer will build scalable data pipelines and design data architecture, including schemas. Responsibilities include developing CI/CD infrastructure, maintaining data APIs, and supporting AI components. The role demands collaboration with stakeholders and requires knowledge in data technologies and performance optimization.

As a Senior Software Engineer, you will evolve BenchSci's Knowledge Graph, integrate life science data into the biological ontology, and improve data models and pipelines. You will collaborate with cross-functional teams to solve complex data challenges and contribute to engineering best practices while mentoring others.

You will design, build, and maintain data-related infrastructure and systems to support our AI-powered sales platform, leveraging your expertise to allow efficient access and processing of information.

As a Senior Data Engineer, you will leverage your expertise in Google Cloud and associated technologies to help clients modernize their data processes. You will engage in building ELT and ETL pipelines, working with various databases, and offering strategic guidance within customer teams.

As a Principal Data Analyst, you'll transform large datasets into insights, architect analytical solutions, mentor analysts, and collaborate with product managers and engineers to derive actionable insights. You'll also conduct complex data analyses and use visualization tools to communicate insights effectively.

The Data Scientist III role involves applying data management principles, advanced statistical methods, and machine learning techniques to solve business problems. Responsibilities include developing and validating analytical models, deploying them in production, conducting exploratory data analysis, and creating data visualizations. The position also requires translating business challenges into data-driven solutions and mentoring junior associates.

The Senior Data Analyst will lead data-centric projects, analyze complex datasets to uncover business insights, and communicate findings effectively to stakeholders. This role requires collaboration with product managers and engineers to ensure proper data management and governance, and to develop strategies for leveraging data to enhance business outcomes.

As a Data Engineer III at Sam's Club Tech, you will design and implement low-latency REST APIs using Java or Scala, manage backend services for advertising, and work on scalable data pipelines. Responsibilities also include developing APIs for on-demand reporting, troubleshooting production issues, and utilizing modern architectures like microservices and serverless frameworks.

The Senior Data Engineer will lead small teams to develop scalable data solutions, ensuring project requirements are met through technical direction, collaboration, and adherence to best practices. Responsibilities include overseeing complex projects, conducting testing, implementing architectures, and driving efficiency.

As a Data Engineer III, you will design, develop, and implement data pipelines and integration solutions using Spark, Scala, and Google Cloud Platform. You'll collaborate with teams to ensure data quality, optimize data workflows, and monitor data pipelines for reliability while helping analysts and data scientists access necessary data sets.

The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.

The Data Architect will design and implement data architecture solutions, focusing on data modeling, integration, and analytics. Responsibilities include leading architectural discussions, executing large-scale data migrations, and collaborating with clients and project teams to ensure effective data storage and compliance with best practices.