Top Data Jobs in Edinburgh

Partner with Digital X Technology, Data & AI leaders to ensure investment decisions deliver value and financial control. Oversee P&L and balance sheet impacts, support strategic planning, appraise transformation initiatives (cloud, platform modernisation), lead a finance team, and provide executive-level financial insight and escalation in a regulated banking environment.

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 commercial strategy for digital & technology suppliers, advise senior stakeholders, drive complex negotiations across cloud, SaaS, data and digital services, design commercial models and risk frameworks, and source market insights to build strong supplier partnerships.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

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.

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.

Perform advanced data analysis on large consumer credit datasets using SQL and Python; extract, transform and analyse data; develop innovative analytical approaches; produce clear written and visual outputs to inform regulatory decision-making; collaborate with stakeholders and contribute to an experienced analytics team to deliver insight across consumer finance.

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.

As an Engineering Manager, oversee data engineering and analytics projects, while leading teams focused on data platforms and governance. Foster collaboration and ensure operational compliance.

Advance analytics and ML solutions for a global pharma client: develop, implement and monitor models; build data models and BI analyses (Spotfire); liaise with stakeholders; improve provisioning and inspection-ready documentation; apply statistical methods to solve business use cases.

Lead Data Engineers will build data platforms, create data lakes and warehouses, and transform data into integrated models while leading teams and advising clients.

The Senior Data Engineer will lead teams in building data platforms and pipelines for clients, focusing on data integration and analytics solutions using various technologies.

Lead QA&A data analysis: verify and sign off data extracts, ensure GDPR-compliant handling, perform root cause analysis, maintain tools and documentation, improve processes, produce reports, and manage/develop Data Analyst team.

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.