Top Data Jobs in Edinburgh

As a Lead Data Engineer, you will design and develop software for data processing, lead a team, ensure quality, and manage technical proposals.

Seeking a Data Migration Engineer to design and execute data migration strategies, ensuring accuracy and compliance with quality standards, and collaborating with stakeholders.

As a Data Scientist, you will design bespoke data science solutions, drive project feasibility, build client relationships, and lead technical delivery, ensuring high standards in AI applications.

The Senior Data Product Manager will define and execute a data product strategy, ensuring alignment between marketing and technical teams to optimize tools and enhance customer acquisition.

Lead the data strategy at Monzo, focusing on user engagement and evolving data practices. Collaborate with cross-functional teams and mentor data scientists.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

Assist customers with sales evaluations, provide technical leadership on storage products, and support the recruiting and development of the Sales Engineering team.

Lead Data Engineer responsible for technical direction, design and scalability of data infrastructure, mentoring engineers, and aligning data initiatives with business priorities.

The Senior Software Engineer will develop and scale backend services, manage data pipelines, and ensure system reliability across multi-cloud environments.

The Senior Software Engineer will design and scale backend services, build data pipelines, optimize cloud billing, and ensure system reliability.

The Senior Software Engineer will design and build scalable backend services, improve data pipelines, and ensure system reliability and performance.

The Senior Software Engineer will design and build scalable backend services, integrate data pipelines, and ensure reliability and performance in a multi-cloud environment.

The Senior Software Engineer will design and build backend services, work on data pipelines, and ensure system reliability and performance in a multi-cloud environment.

As a Staff Data Scientist, you'll develop predictive models for cash flow, analyze diverse data sources, improve customer experience, and monitor model performance.

This role involves managing complex sales cycles, building a self-sourced pipeline for AI products, and engaging with C-level executives in Western Europe to drive new business.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

Develop and optimize large language models for NLP tasks, conduct research, collaborate with teams, and communicate technical concepts. Requires a strong background in machine learning and active involvement in model deployment and performance evaluation.

The Data Solutions Consultant will engage with decision-makers, provide product demonstrations, and collaborate on innovative marketing strategies to drive sales growth and client satisfaction.

Develop data science-driven algorithms to enhance business processes, focusing on risk management and debt collection while optimizing credit services offered.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

The Senior Data Engineer will lead data solution design and delivery, mentoring junior staff, and engaging with clients to drive data strategy using Azure technologies and AI.

The Data Product Owner will manage the entire data lifecycle, lead a team of engineers, and align product vision with business goals in a remote setting.

The role involves leading generative AI solutions, collaborating with clients, developing NLP applications, and contributing to AI methodologies at Ascent.

Lead the data strategy and analytics team, ensuring data-driven solutions across the organization, while mentoring a skilled team and fostering a data culture.