Top Data Jobs in London

In this internship with Little Caesars' Data and Analytics team, you will support and improve production management models, investigate variables for accuracy, and document code development. This 13-week program includes mentorship, collaboration on data initiatives, and culminates in a presentation to senior leadership about your findings and projects.

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.

Verisk is looking for an experienced data scientist to support the development of various analytics models and supervise junior data scientists. The successful candidate should have experience in data science with coding experience in Python, the ability to develop models using GLMs and machine learning, and skills to manage a team of data scientists. Responsibilities include building new analytics products, data analysis, model creation, documentation, and presenting analysis results. Qualifications include a Master's/PhD in math, science, or analytics, programming experience with Python and SQL, and strong communication skills.

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 Digital Engineer in Data and Insights, you will implement and manage analytics tagging, ensure compliance with privacy requirements, monitor data quality, and develop system integrations. Your role involves collaborating with stakeholders on technical solutions to enhance the digital strategy and improve implementation practices.

As an Alpha Client Data Integration Analyst, you will manage client data related to Derivative products, support Alpha projects, and assist in developing solutions for Transaction Management. Your role entails analyzing business requirements, collaborating with technology teams, liaising with stakeholders, and identifying gaps in the transaction management process while supporting ongoing project management.

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.

As a Senior Data Analyst, you will design and implement BI solutions, collaborate with cross-functional teams, gather requirements, and develop reports and dashboards to support data-driven decision-making.

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.