Top Data Jobs in Bristol

Analyze complex datasets, develop dashboards and reports, translate stakeholder requirements into data-driven solutions, and support analytical models and AI-enabled capabilities. The role involves collaborating with engineers and multidisciplinary Agile teams, ensuring data quality and documentation, presenting insights, and supporting UX/UI design within a secure Defence programme.

Analyze, transform, validate, and interpret data from multiple sources to identify trends, risks, and opportunities. Build and maintain KPI reporting infrastructure, dashboards, and ad hoc reports for senior stakeholders. Gather reporting requirements, validate data accuracy, investigate discrepancies, and present actionable insights. The role also supports data governance and ISO 27001 information security compliance.

Leads enterprise data architecture strategy, target-state roadmaps, data modelling, cloud platform and lakehouse design, integration, migration, governance, security, quality and analytics enablement. The role provides architectural assurance, facilitates workshops with senior stakeholders, develops consulting methods and coaches colleagues. It requires deep Microsoft Azure and Fabric expertise, strong data governance and modelling knowledge, and experience delivering secure, scalable data solutions across complex enterprise environments.

Leads electrical power monitoring and controls system design for data centres, overseeing contractor implementation, specifications, testing, stakeholder engagement, project delivery, and compliance. Manages feasibility studies, tenders, reporting, site surveys, FAT/SAT testing, training, and technical integration across mechanical, electrical, and control systems. Supports business development, team mentoring, innovation, safety, and sustainability while occasionally travelling to project sites.

Build and maintain Python data ingestion pipelines for Reach’s AWS data lake, integrating APIs, S3, and SFTP sources. Design and operate AWS infrastructure, implement Infrastructure as Code and observability, and work with Athena, Glue, Lambda, ECS, and Redshift. Collaborate with analysts, product managers, and business teams, while documenting solutions, enforcing unit testing, and improving data quality and reliability.

Leads enterprise data engineering strategy and delivery across Databricks, dbt, Azure, Python, and SQL. Defines architecture and engineering standards while driving modernization, automation, security, resilience, governance, and compliance. Influences stakeholders, coaches engineering teams, simplifies technology landscapes, and aligns data, cloud, analytics, and AI investments with business outcomes in a regulated environment.

Own and grow strategic data center accounts across Europe by developing sales strategies, managing pipelines, leading virtual sales teams, and engaging senior customer decision-makers. The role involves account planning, stakeholder mapping, customer value propositions, automation specification influence, negotiation, issue resolution, and managing multi-year, multi-location sales programs. Travel of up to 50% is required.

Build and deploy end-to-end data science and AI solutions, including scalable data pipelines, machine learning and generative AI workflows. Translate product and business questions into measurable analytics use cases, analyze product data, establish evaluation and monitoring practices, and collaborate with product, engineering, and analytics teams to deliver business impact.

Leads EMEA renewals sales for Data Security and Application Security portfolios, owning retention, recurring revenue, forecasting, churn mitigation, and commercial execution. Manages Renewal Sales Managers and Specialists, develops regional strategy, negotiates strategic contracts, and partners with Sales, Finance, Customer Success, Product, Legal, and Executive Leadership. The role also drives renewal governance, operational excellence, organizational development, talent coaching, and executive reporting across geographically dispersed teams.

Lead Trade Nation’s data and AI strategy, with emphasis on deploying AI into business workflows and enabling measurable adoption. Own the data warehouse’s business-facing gold layer, semantic models, data quality, analytics engineering standards, and self-service analytics. Lead and develop data analysts while partnering with engineering, compliance, and senior stakeholders. The role requires financial services experience, strong SQL and data modelling skills, cloud data platform expertise, and the ability to deliver AI initiatives from concept through production.

Leads complex sustainability data analysis for client decision-making, regulatory compliance, and reporting. Responsibilities include data collection, cleansing, validation, transformation, calculations, methodology development, quality assurance, audit trails, dashboards, and client presentations. The role focuses on EPR, PPWR, and sustainability regulations while providing technical leadership, mentoring, project oversight, and business development support.

Leads a specialist analytics team delivering reliable data, management information, reporting, and business insights for an unsecured lending function. Responsibilities include developing data sources and marts, automating reporting, improving data governance and regulatory controls, translating complex analysis for senior stakeholders, driving change, and coaching high-performing analysts. Requires strong SQL, SAS, Python, Power BI, Excel Power Pivot, and VBA expertise, plus consumer lending or credit risk experience.

Leads research and advisory work for CIOs on data, analytics, and AI strategy, governance, operating models, architecture, value realization, and emerging technologies. Develops thought leadership, market analysis, presentations, and actionable client guidance; evaluates agentic and composite AI, modern data platforms, AI-ready data, organizational maturity, and capability-building needs. Represents Gartner at client meetings and conferences, supports sales, mentors colleagues, and shapes research agendas.

Build and scale governed data products, pipelines, analytical models, semantic layers, APIs, and AI-enabled interfaces. Establish standards for data modeling, orchestration, testing, observability, CI/CD, security, and lifecycle management. Partner with stakeholders to define data contracts and product roadmaps, deliver solutions end to end, improve analytics governance, and mentor colleagues. The role requires strong data and analytics engineering expertise, product judgment, and practical experience directing AI coding agents.

The Senior Marketing Data Scientist will measure and optimize marketing performance using marketing mix modeling, attribution, customer lifetime value analysis, experimentation, and causal inference. Responsibilities include building scalable data pipelines, automating model deployment and monitoring, creating dashboards, analyzing campaigns, and communicating insights to executives. The role requires strong Python and SQL skills, experience with open-source marketing mix models, marketing analytics expertise, and the ability to lead projects independently.

Design, develop, and support scalable cloud-based data solutions across AWS and Azure. Build ETL/ELT pipelines, data integrations, migration processes, warehouses, data lakes, and lakehouses. Perform data profiling, quality assessments, validation, reconciliation, troubleshooting, and root-cause analysis. Create source-to-target mappings and technical documentation while supporting data governance, security, and compliance. Collaborate with technical and business stakeholders to deliver secure, high-quality data solutions.

Lead Monzo’s EU Data team and shape expansion strategy across European markets. Own data strategy, measurement foundations, experimentation, forecasting, goal setting, and product-market-fit analysis. Represent Data at executive level, influence commercial and product decisions, build cross-business learning loops, and develop a high-performing full-stack Data organization of individual contributors and managers.

Leads research and production development of generative AI and large language model systems for cybersecurity. Responsibilities include defining AI research strategy, developing novel reasoning and summarization approaches, selecting model architectures and deployment strategies, building large-scale production systems, mentoring scientists, establishing evaluation standards, and guiding cross-functional technical initiatives. The role also represents the company through publications, speaking engagements, and technical thought leadership.

Develop measurement frameworks for offline and out-of-home marketing campaigns, including geo holdout tests, matched-market tests, media mix modeling, and incrementality studies. Combine offline spending with digital and product signals to assess marketing effectiveness. Partner with Marketing leadership and Growth Data scientists to select test markets and channels, size investments, align online and offline measurement, and communicate uncertainty clearly.

Own finance-focused data science and analysis, including revenue and ARR reconciliation, cohort economics, pricing experiments, forecasting, and scenario modeling. Partner with Analytics Engineering to maintain certified finance KPIs and ensure data quality across billing and revenue systems. Translate ambiguous questions from FP&A, RevOps, and leadership into reusable analyses that support planning, board reporting, pricing, and IPO readiness.

Lead the design, development, and operation of scalable data pipelines using Databricks and Azure Synapse. Administer Azure data platform services, Databricks workspaces, security controls, networking, and governance. Manage infrastructure as code with Pulumi or similar tools, build CI/CD automation, monitor platform health, resolve incidents, and mentor junior colleagues while maintaining secure and reliable cloud data environments.

Provide privacy advisory and compliance consulting across multiple client sectors. Responsibilities include privacy gap analyses, audits, DPIAs, policy development, AI privacy assessments, supplier due diligence, breach response, regulatory communications, data subject rights requests, reporting, training, and stakeholder advice. The role requires translating privacy risks into practical business decisions while collaborating with legal, information security, and operational teams.

Designs, develops, tests, deploys, and supports Databricks-based data products and scalable ETL/ELT pipelines. Uses PySpark, Spark SQL, SQL, Python, Azure, and Power BI to build curated datasets for reporting, analytics, and operational decision-making. Responsibilities include data quality, reconciliation, monitoring, optimization, documentation, governance, production support, and collaboration with architects, analysts, and stakeholders.

Lead the design, deployment, and operation of scalable data pipelines and cloud infrastructure for Kpler’s marine insurance initiative. Build containerized AWS services using Python, Docker, Kubernetes, Airflow, and Terraform; manage PostgreSQL and Kafka/Flink streaming systems; establish observability standards; provide technical direction; collaborate cross-functionally; and mentor engineers.

Lead data-driven digital transformation solutions for large capital construction projects. Responsibilities include understanding client problems, advising on best practices, directing technical teams, mentoring junior staff, developing Azure, Fabric, Power BI, and Python solutions, productizing client solutions, and improving internal data processes. The role requires strong communication, analytical thinking, construction or engineering experience, and the ability to translate complex concepts for varied audiences.