Top Data Jobs in Edinburgh

The Enterprise Account Executive will drive new enterprise revenue, engage with senior decision-makers, and execute growth strategies for Data and AI training solutions.

Lead the architecture and scaling of Overstory’s data platform for AI-powered vegetation analysis. Design and operate large-scale geospatial and temporal data pipelines, orchestration systems, event-driven workflows, service-oriented architecture, data quality frameworks, and observability practices. Drive architectural standards, system design, scalability, reliability, and traceability while mentoring engineers and collaborating with data, ML, and product teams.

Own GTM and sales analytics across pipeline performance, forecasting, funnel conversion, win/loss analysis, lead and account scoring, territory planning, quota modeling, and capacity planning. Partner with RevOps, Sales, Product, Finance, and Analytics Engineering to improve metric definitions, Salesforce and product data models, dashboards, and decision-making. Translate complex analysis into clear recommendations for GTM leadership.

Identify and research UK&I target accounts, conduct personalized outbound prospecting through email, LinkedIn, and phone, attend industry events, qualify leads, book meetings, and maintain accurate CRM activity records. The role supports sales pipeline generation and requires B2B SaaS outbound experience, strong communication skills, native-level English, and regular travel within the UK&I.

Collect, clean, validate, and analyze data using Excel, SQL, Power BI, and Microsoft Fabric. Create dashboards, reports, visualizations, KPI reporting, and actionable recommendations for business and client decision-making. Collaborate with analysts, consultants, and stakeholders, present findings clearly, maintain reporting solutions, and support data quality and project delivery. The role offers early-career development in data analytics and consulting.

Designs and delivers scalable data pipelines and Lakehouse architectures using Databricks, Spark, PySpark, and Delta Lake. The role covers ETL/ELT, data governance, security, quality, performance optimization, cloud integration, and CI/CD. It involves technical leadership across customer programmes, architectural decision-making, stakeholder collaboration, mentoring, and supporting reliable production data solutions.

Build and maintain reports, dashboards, and data visualizations using Power BI or Tableau. Extract and analyze data from SQL databases and Excel files, explain findings to teams and clients, troubleshoot reporting issues, and automate repetitive tasks. The role requires strong SQL skills, BI tool expertise, and conversational English for remote collaboration with global clients across varied industries.

Build and maintain reliable data pipelines using Python and SQL. Integrate REST APIs, databases, files, cloud storage, and third-party platforms; process and load data into warehouses for analytics and BI. Implement incremental and fault-tolerant loading, logging, monitoring, retries, error handling, and data quality checks. Work with ETL/ELT, Git, and potentially dbt, Spark, orchestration tools, cloud platforms, Docker, dimensional modeling, and BI datasets.

Deliver a portfolio of strategic transformation projects spanning infrastructure, business systems, data, insight, and AI. Coordinate plans, stakeholders, technical teams, suppliers, budgets, risks, procurement, benefits, and timelines across complex local government environments. Support the Data, Insight and AI programme, promote innovation and continuous improvement, and build relationships that enable successful change and adoption.

Lead consulting engagements for defence, government, national security, and regulated-sector clients. Responsibilities include discovery, stakeholder workshops, digital and data strategy, target operating models, architecture, transformation roadmaps, AI and analytics opportunities, data governance, client deliverables, and proposal support. The role requires translating complex business and technical challenges into practical recommendations and measurable outcomes while influencing senior stakeholders and collaborating with multidisciplinary teams.

Supports clinical research studies, primarily type 1 diabetes projects, by administering and validating research data, maintaining databases, running queries, coding medical information, producing reports, and resolving data discrepancies. The role also manages study documentation, literature and bibliographic databases, participant testing kits, supplies, quality checks, and study communications. It develops procedures, tests database applications, supports Good Clinical Practice compliance, and provides cover for study coordinators while helping supervise junior staff.

Own the strategy, design, and production development of Provenir’s identity graph and graph-driven intelligence. Build pipelines for identity resolution, link analysis, clustering, anomaly detection, ranking, and fraud intelligence. Partner with engineering and product teams to translate business problems into product capabilities, establish data science standards, and ensure quality, scale, and explainability. Mentor colleagues and eventually grow a data science team while remaining hands-on with graph methods, analytical tooling, and pragmatic AI applications.

Lead and mentor a data science team building ML and LLM solutions for cybersecurity. Translate business needs into research and production ML objectives, prioritize roadmaps, collaborate cross-functionally, and drive technical vision, model development, and operationalization for malware detection and threat analysis.

Develop and evaluate machine learning models for customer feedback, including classification, extraction, summarization, sentiment analysis, retrieval, reranking, and semantic search. Build LLM-powered features, evaluation frameworks, fine-tuning pipelines, and model integrations. Collaborate with Data Science, Engineering, and Product teams to translate requirements into experiments and production solutions, while monitoring research and documenting work clearly.

Define, set up and ingest external clinical data streams (labs, ECG, imaging, EHR, wearables, genomics). Plan set-up activities, create trial-specific Data Transfer Agreements, translate medical concepts into data mappings, perform UAT, implement transfers into the CDR, monitor data quality and resolve provider conformance issues while ensuring regulatory and data protection compliance.

Develop and optimize machine learning and generative AI solutions for digital agents, including LLMs, NLP, RAG, retrieval, experimentation, evaluation, and statistical analysis. Build scalable data and ML pipelines using Python, SQL, and Spark; assess model quality, reliability, safety, and business impact; and support production deployment. Collaborate with engineering, product, and data science teams while mentoring less experienced colleagues.

Create and present short-form football content as the face of Compare the Market’s EFL partnership. Attend EFL matches nationwide, engage fans, manage community interaction, and showcase club traditions through a recurring social media series. The role requires regular travel, confident on-camera presenting, strong editorial judgment, brand alignment, and the ability to work within approval processes while maintaining an authentic voice.

Manage and optimize high-load Microsoft SQL Server databases, including advanced T-SQL development, query and execution-plan optimization, indexing, locking, memory, disk performance, AlwaysOn availability, maintenance, recovery, security, integrity checks, monitoring, and incident resolution. Support analysts and ML engineers with reliable data access across databases reaching tens of terabytes.

Provides clinical data management support for assigned studies, including ongoing data review, discrepancy resolution, query management, database lock preparation, regulatory documentation, and user access administration in Medidata Rave. Collaborates with clinical operations, biostatistics, programming, and medical monitoring teams to ensure accurate, complete, compliant, and analysis-ready clinical trial data.

Own and expand third-party billing and usage integrations for a cloud cost platform. Build and maintain ingestion pipelines, normalize vendor data, manage orchestration and backfills, and ensure financial-grade correctness through reconciliation, deduplication, and data quality checks. Use AI throughout the engineering workflow, collaborate with product and support teams, and improve integration scalability. The role requires strong SQL and Python, cloud data warehouse experience, REST API integration expertise, and production pipeline ownership.

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.

The Data Analyst develops and maintains Power BI and Tableau reports, monitors data pipelines and refresh schedules, ensures data quality, and supports business-critical planning and reporting processes. The role interprets data, communicates insights, trains users, supports data governance and literacy initiatives, coordinates reporting activities, and works with stakeholders and IT Services on system improvements, cloud migration, and report deployment. Responsibilities also include workload prioritisation, documentation, regulatory data submissions, and community-of-practice activities.

Develop and maintain enterprise Power BI and Tableau reporting solutions, data pipelines, models, dashboards, and analytics using Snowflake, SQL, dbt, and Alteryx. Analyze institutional and external data to support strategic planning, forecasting, recruitment targets, and executive decision-making. Ensure data quality, reporting governance, release standards, and stakeholder satisfaction. Provide technical guidance, training, and support across the University, contribute to emerging AI-enabled analytics, and potentially line-manage junior developers.

Lead the technical direction and architecture for Arbor’s data platform, spanning transactional, analytical, and AI systems. Define target architectures, guide technical leads, support product delivery, and enable AI-first engineering through LLM orchestration, RAG, and real-time inference infrastructure. The role includes mentoring, architectural reviews, data governance, security, compliance, observability, DataOps, cloud platform cost optimization, and cross-functional collaboration with product and commercial leaders.

Embedded within the commercial team, the Senior Data Analyst will own core sales and revenue metrics, improve pipeline and forecast accuracy, investigate CRM data quality, size commercial opportunities, and analyze partner, retention, and renewal performance. The role translates ambiguous business questions into actionable recommendations, defines trusted metric frameworks, communicates insights to senior stakeholders, and increases self-service analytics adoption across non-technical commercial teams.