Top Data Jobs in Edinburgh

The Senior Data Consultant will engage with business stakeholders to define data models and oversee the delivery of data solutions, ensuring compliance and alignment with business needs in a cloud environment.

Lead the Data Conversion workstream, coaching junior consultants and managing Workday project delivery while ensuring client satisfaction and internal growth.

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

The role involves evaluating conversational AI workflows, designing evaluation pipelines, collaborating with engineers, and improving data-driven agent performance through various metrics and analysis.

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

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.

Lead the design, optimization, and deployment of machine learning forecasting algorithms and models that support Gorilla’s energy platform, ensuring scalability and integration while mentoring peers.

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.

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

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

Lead the engineering team to design and develop a no-code voice assistant platform, while mentoring engineers and driving software architecture.

The Senior Data Analyst will own the analytics function end-to-end, turning raw data into actionable insights for product, operations, and growth strategy.

The role involves end-to-end back-end feature development in JavaScript, system design, and independent responsibilities in an agile environment.

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

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

The Chapter Lead will drive LI.FI's data strategy, aligning data efforts across teams, mentoring the data team, and shaping the path towards Head of Data.

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

As a Curriculum Manager at DataCamp, you'll enhance the Data Science and Analytics curriculum by managing content development, recruiting instructors, and improving learning experiences through collaboration with various teams.

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

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

Lead Data Engineer responsible for designing and developing data processing systems, ensuring quality code, mentoring team members, and collaborating with project stakeholders.

As a Data Scientist, you will drive insights and build data products for cross-departmental initiatives, focusing on statistical modeling and marketplace efficiency.

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.