Top Data Jobs in Edinburgh

Design and implement data pipelines, manage access controls in Snowflake, and ensure compliance through automation. Collaborate with cross-functional teams to optimize data workflows.

The Data Analyst will transform raw data into actionable insights, develop data models, ensure data quality, and create visualisations for strategic decisions.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.

Design and deploy predictive and prescriptive ML models, establish MLOps and lifecycle best practices, analyze geospatial/IoT data for infrastructure use cases, run experiments, collaborate with engineering to build feature pipelines, mentor junior staff, and present findings to technical and non-technical stakeholders.

The Lead Data Scientist will develop and test deep learning models, integrate frameworks into existing ML pipelines, and collaborate on financial data challenges. They will share findings and mentor team members to enhance deep learning capabilities.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.

As a Lead/Staff Backend Engineer, you will design and scale the core API and data systems, mentor engineers, and influence technical strategy.

Join Gorilla as an Energy Solutions Consultant to lead project delivery, develop calculation models, and enhance energy solutions for clients through collaboration and expertise.

As a Lead Data Scientist, you will design and deliver advanced AI solutions, mentor team members, and ensure responsible AI practices while driving innovation and collaboration across projects.

Manage engineers and product analysts in the Data Platform team, oversee data engineering projects, ensure delivery quality, and drive collaboration across the organization.

The Client Data Analyst acts as a liaison for client program management, focusing on data analysis, reporting, and supporting travel program operations.

As a Senior Director Analyst, you will research data management solutions, provide insights, support sales efforts, and deliver high-value presentations.

The Data Centre Specialist will prep, scan, check, destroy, and archive records, ensuring quality and efficiency in a collaborative environment.

The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

Hands-on Staff Data Engineer responsible for evolving and scaling MoonPay's data platform across streaming, batch, warehousing, governance, and data science. Lead architecture, improve reliability, cost-efficiency, observability, and automation while mentoring engineers and collaborating with compliance, security, and product teams to meet regulated requirements.

Perform deep-dive analyses, build and maintain Power BI dashboards, define KPIs, support A/B testing and AI measurement, enable self-service analytics, and collaborate with stakeholders and engineering to ensure reliable data and actionable insights.

Senior individual contributor who analyzes marketing performance across paid channels and CRM, owns GA4 tracking, partners with analytics engineers, builds dashboards, measures incrementality/LTV/CAC, and translates insights into actionable recommendations for stakeholders.

Build and own end-to-end data pipelines and production code to turn raw data into insights. Ensure reliability through testing, observability, and data quality checks. Collaborate with product, data science, and engineering to ship features and apply AI where valuable.

Lead marketing measurement and forecasting to optimise growth. Design and analyse geo-lift and A/B experiments, partner with marketing and finance to measure LTV and campaign ROI, and work with engineers to ensure correct data collection and reporting.

The Data Mentor provides technical support and feedback to apprentices, ensuring high standards in teaching, learning, assessment, and learner progression monitoring.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

As a Context Layer & GTM Engineer, you'll architect and maintain a data system for AI agents, ensuring data quality, optimizing API performance, and facilitating scalability.

The Senior Paralegal will manage data protection queries, conduct impact assessments, create guidelines, and ensure compliance with data protection laws.

As Legal Counsel for Data Privacy, you will provide expert legal advice on data protection laws, conduct DPIAs, manage privacy risks, and collaborate with various teams to ensure compliance.