Top Data Jobs in Edinburgh

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

As a Senior Algorithm Engineer, you'll lead the design and scaling of algorithms for data solutions in the energy sector, collaborating with cross-functional teams to optimize performance and mentor peers.

As a Growth Data Analyst, you'll analyze product performance, customer behavior, and trends, creating insights to inform product strategy and improve customer journeys.

The Senior Data Analyst will collaborate with Ops teams to optimize processes, monitor metrics, develop dashboards, and communicate findings effectively.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The Senior Data Engineer will build core infrastructure software for data platforms, mentor engineers, and ensure data access and performance across systems.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

As a Staff Data Engineer, you'll architect and build data pipelines, champion small data strategies, mentor teams, and ensure operational excellence in data workflows.

The Finance Operations Manager will oversee cash operations including accounts receivable, accounts payable, and treasury, while automating and improving financial systems and processes.

Lead project teams in delivering bespoke algorithms, mentor other data scientists, and shape client relationships in the defence and national security sector.

The Data Analyst will analyze and visualize complex mobile telemetry datasets, build dashboards, and collaborate with cross-functional teams to support data-driven product insights and detection strategies.

As a Senior Data Engineer, you will develop data platforms and pipelines, collaborate with stakeholders, mentor juniors, and support pre-sales efforts.

The Curriculum Manager will oversee the content development lifecycle, recruit instructors, design curriculum, assess course performance, and improve data science and engineering content.

The Senior Data Analyst for Paid Media will build analytics models, frameworks, and dashboards to optimize data investments, enabling faster decision-making and supporting marketing initiatives.

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.

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

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

The Data Architect will design and implement cloud-native data architectures, maintain data pipelines, and collaborate with teams for data-driven solutions.

The Data Scientist will analyze large datasets, build machine learning models, and contribute to data-driven decision-making across functions, collaborating with teams to deliver insights and strategies.

As a Senior Data Discovery and Enrichment Expert, you will conduct legal research for AI solutions, create training data, and mentor colleagues.

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

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

The Media Business Director manages Growth Marketing accounts, leads key client relationships, oversees projects, and ensures team collaboration to drive commercial success.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.