Top Data Jobs in Edinburgh

Lead large-scale transformation programmes across strategy, delivery, digital and data to drive customer-focused, sustainable energy solutions. Partner with senior leaders to align investment, governance and workforce capability, embed cultural change, and deliver measurable business benefits using automation, analytics and AI.

Manage a portfolio of customer firms, own escalations, investigate complex issues, and act as the bridge between customers and internal teams. Drive operational improvements, analyse systems and data to find root causes, deliver trainings and workshops, monitor customer health, and recommend process and product changes to improve experience and reduce recurring issues.

The Cyber Security Data Operations Engineer will develop and manage data analytics applications, design solutions, and ensure effective documentation and user support for cyber security data processes.

Act as a strategic partner to electric utility customers, defining 3-5 year IT/OT architecture roadmaps, advising on ADMS/EMS/SCADA/GIS/DMS/OMS and cloud, data, integration and cybersecurity considerations, facilitating senior workshops, supporting early project design, and building long-term customer relationships while developing reusable consulting methods.

Lead and scale multi-team AI engineering and data science organization to design, deliver, and govern GenAI, LLM, Vision AI, and multi-agent knowledge products; own end-to-end solution design, Agile delivery, quality standards, production validation, stakeholder alignment, hiring, and organizational capability building.

Own commercial growth for a strategically important enterprise account: build executive relationships, execute multi-year account plans, win new business, translate technical propositions into commercial cases, manage account marketing and governance, maintain pipeline and forecasting, and coordinate local GTM teams to drive predictable revenue growth.

The Sales Lead drives revenue growth through strategic account development in Energy, Financial Services, and Public Sector, leading a sales team and shaping transformation offerings.

The Data & AI Portfolio Lead drives the development and integration of Fujitsu's Data & AI portfolio in the UK, aligning with strategic objectives and managing offerings throughout their lifecycle while providing leadership to product managers.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead the development and execution of the NA digital transformation and data strategy, enhancing capabilities in AI and digital technologies across the business.

As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.

On-site mechanical quality coordinator for a large data centre construction project: oversee mechanical construction, review and approve ITPs and checklists, verify works against standards, develop QA/QC checklists in BIM, witness commissioning (HVAC, pumps, piping, fire protection), ensure contractors complete BIM 360 records, verify calibration and as-built/red-line accuracy, escalate and drive resolution of quality issues, and promote continual improvement.

The Fraud Analyst role focuses on investigating fraud cases, collaborating with teams to improve fraud detection, and refining operational processes while ensuring data quality and participant experience.

Lead electrical design for data centre projects across all stages, define power architectures, run power systems and protection studies using ETAP/SKM, integrate BMS/EPMS/SCADA and metering, embed decarbonisation and energy-efficiency measures, ensure standards compliance, coordinate multidisciplinary teams, mentor staff, and support business development and project financial management.

Lead development and management of Data Transfer Specifications and standardization of external clinical data (e.g., eCOA, imaging, IRT). Ensure CDISC compliance, support data reconciliation and regulatory requirements, oversee external vendors, and collaborate with clinical study teams to maintain data quality and processes.

The Software Engineer will develop data pipelines, manage cloud infrastructure, and collaborate with AI scientists to enhance data acquisition for model training.

Senior leadership role to define and commercialise Data & Analytics capability, shape go-to-market for Data/AI, drive revenue and client growth, build and lead a multidisciplinary data organisation, ensure delivery excellence, governance and reusable assets across regulated sectors using Microsoft data technologies.

Lead delivery of the FCA's redress data strategy by analysing complaints and redress data, producing evidence-based insights, improving data governance and catalogues, supporting complaints reporting reforms, and engaging stakeholders including FOS and FSCS to strengthen consumer protection.

Design, build, and validate complex EDC (Medidata Rave) databases per protocol. Create eCRF packages, program edit checks and custom functions, configure integrations (IWRS, Safety Gateway, Datamart), perform migrations, train junior staff, and support process and tool improvements within clinical data management.

Provide timely, risk-based legal advice on data protection, FOIA, PECR and NIS matters; manage caseloads; ensure legally accurate ICO guidance; represent ICO externally; supervise and develop legal staff; liaise with external counsel and internal stakeholders.

Design and deliver an integrated AI and data upskilling programme: create scenario-based, role-specific learning, embed training into technology adoption, define tool readiness, pilot cohorts, evaluate behavioural and process outcomes, and align stakeholders to enable safe, applied AI and data use at scale.

Support implementation of data governance frameworks across Pensions & Savings. Work with Data Owners, Stewards, and Risk to monitor data quality, track governance actions, maintain documentation, and produce regular and ad-hoc reports to support regulatory compliance and governance maturity. Contribute to continuous improvement of data governance processes and stakeholder reporting.

Lead a specialist BPA data team to manage end-to-end pension scheme data for buy-in/buy-out transitions. Ensure data accuracy, validation, reconciliations, benefit specification oversight, governance, regulatory compliance, stakeholder integration, third-party data management, and drive automation and continuous improvement to support successful scheme migrations.

Lead a team of data scientists to design and deliver ML/AI solutions for cyber threat detection and prevention. Develop anomaly detection, time-series and deep learning models, deploy LLM-based security automation (RAG, prompt engineering, fine-tuning), and build production ML pipelines with Data Engineers on GCP. Ensure explainability, ethics, and regulatory alignment while translating insights for cyber defence, risk, and compliance stakeholders.

Lead and shape the Security Data & AI Lab's data engineering capability: define strategy and roadmap, own scalable cloud-native data pipelines and platforms, embed secure-by-design and engineering best practices (CI/CD, testing, observability), enable production-grade foundations for AI/ML, mentor engineers, and partner across Security, Cloud, Architecture and Product teams.