Top Data Jobs in Bristol

Designs technical solutions for enterprise sales engagements, leading discovery workshops, architecture and integration design, technical proposals, proof-of-concepts, and implementation handoffs. Advises clients and internal teams on platform capabilities, business outcomes, and product roadmap needs. Requires enterprise SaaS architecture experience, strong communication, and knowledge of energy retail systems such as billing, metering, and settlements. The role is hybrid in London or Bristol with client travel across the UK and Europe.

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.

Supports the enterprise data governance program by developing policies, enabling data ownership and stewardship, governing metadata and data quality, coordinating compliance activities, facilitating stakeholder engagement, tracking governance initiatives, and reporting KPIs. The role promotes adoption of data catalogs, business glossaries, data standards, privacy requirements, retention controls, and governance best practices across business and technology teams.

Own enterprise customer programs from contract signature through expansion, leading delivery teams, milestones, stakeholder communication, adoption, and change management. Partner with sales and customer success to scope engagements, identify expansion opportunities, and translate executive goals into executable AI implementation plans. Serve as the customer advocate internally while guiding solutioning across model development, deployment, governance, and enterprise data science workflows.

Supports Finance and Go-To-Market departments by designing data recording systems, monitoring data quality, enforcing governance, analyzing large datasets, producing concise reports, and recommending process improvements. The role translates complex findings into actionable insights for non-technical stakeholders and supports Sales, Marketing, and Customer Success objectives.

Lead a team of 10 Data Security Specialist Account Executives across EMEA and APJ. Responsibilities include recruiting and coaching sales talent, managing regional business plans and forecasts, collaborating with sales, marketing, product, services, and partners, and driving revenue attainment. The role requires software or security sales experience, data security leadership, regional management, C-level selling, and familiarity with AI/ML technologies.

Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, machine learning, NLP, LLM applications, and classifier implementation. Build growth metrics, monitoring pipelines, evaluation datasets, and AI trigger systems across search and Duck.ai. Analyze privacy-constrained data, deploy production-grade models, optimize SQL queries, and lead complex projects from scoping through production with minimal direction.

Analyze large-scale security telemetry, threat intelligence, endpoint, and detection data to identify trends, anomalies, and emerging threats. Build dashboards, reports, data pipelines, and KPI frameworks using SQL, Python, LogScale, or similar tools. Collaborate with data engineering, product, and engineering teams to ensure data quality and translate complex findings into actionable insights for technical and non-technical stakeholders.

Lead B2B product marketing strategy for DataCamp’s data and AI SaaS offerings. Responsibilities include developing positioning and messaging, executing go-to-market campaigns, creating sales and marketing collateral, gathering customer insights, managing analyst relations, and conducting competitive analysis. The role partners closely with sales, customer success, product, and content teams to drive revenue, adoption, and market impact.

Leads Ayvens UK's Data Office and enterprise data strategy, overseeing legacy-to-cloud transformation, governance, data quality, regulatory compliance, analytics, self-service BI, AI governance, and data product development. Advises executive stakeholders, manages budgets and suppliers, and builds a high-performing multidisciplinary data team while modernizing the platform with Azure, Databricks, and Power BI.

Define data strategy, architecture principles, guardrails, and target-state roadmaps in complex cloud-native environments. Design distributed systems, event-streaming platforms, data models, storage architectures, operational and analytical pipelines, and secure data flows. Partner with engineering and product teams to establish pragmatic standards, automation, observability, and resilience. Support legacy modernization, migration, coexistence, reconciliation, and progressive decoupling across regulated environments.

Leads Software Engineering, Data Engineering, and BI teams while overseeing applications, integrations, APIs, EDI, automation services, data warehouses, reporting platforms, and analytics. Drives technology initiatives, engineering standards, release processes, data governance, system reliability, stakeholder alignment, supplier relationships, and continuous improvement across business-critical platforms.

Develop advanced data science solutions for British Army training, safety, and operational challenges. Responsibilities include preparing and analysing data, applying statistical and machine learning methods, building predictive models and data products, creating reports and dashboards, and communicating insights to technical and non-technical stakeholders. The role also involves collaborating with military and technical teams, mentoring colleagues, and maintaining data governance, ethics, and security standards.

Designs, builds, and operates Python-based data platforms, web applications, APIs, and agentic workflows. Develops batch and streaming pipelines, AWS data services, secure backend systems, CI/CD, monitoring, and governance controls. Translates business needs into production solutions, establishes reliable AI-agent safeguards, mentors engineers, reviews designs and code, and coaches business users building front ends with AI-assisted tools.

Lead business discovery, process mapping, requirements definition, SQL-based analysis, dashboard development, and AI-assisted or agentic workflow prototyping. Own initiatives from problem definition through implementation, user adoption, and outcome measurement. Partner with business and technical teams to improve data quality, enable self-service analytics, establish controls, test solutions, and deliver measurable process and decision-making improvements.

Build and improve Power BI dashboards, data models, measures, and reports. Translate business questions into actionable insights, validate and reconcile SQL data, identify trends, improve data quality, consolidate reporting, and support governance, security, and deployment standards. Collaborate with IT, Finance, and other stakeholders while enabling users to understand and trust business intelligence solutions.

Leads and scales a data engineering team of 8+ engineers, owning data strategy, platform modernization, architecture, reliability, and engineering standards. Partners with product, analytics, and commercial teams to deliver scalable, secure, high-quality data solutions. Responsibilities include coaching, mentoring, roadmap ownership, stakeholder management, performance measurement, and representing data engineering with senior leadership. The role requires technical credibility across cloud platforms, data warehouses, orchestration, modeling, pipelines, infrastructure as code, and CI/CD.

Leads technical strategy and pre-sales engagement for hyperscale cloud, AI, and data center networking solutions. Partners with customers, hyperscalers, technology providers, sales teams, and product organizations to co-design architectures, shape go-to-market strategy, and influence product development. Requires deep expertise in routing, switching, SDN, network automation, virtualization, and hyperscale infrastructure, plus strong executive communication, RFP response, and relationship-building skills. Travel of up to 50%, including international travel, is required.

Oversee the end-to-end design management of large-scale data centre projects, coordinating design packages, stakeholders, vendors, BIM teams, technical submittals, permits, quality assurance, temporary works, and construction-phase support. The role reviews design and construction documentation, manages RFIs and risk reviews, ensures compliance with client standards, resolves design issues, and maintains accurate as-built drawings and BIM models through project completion.

Designs and implements enterprise cybersecurity capabilities across cloud, AI, applications, infrastructure, and data. Responsibilities span security architecture, LLM and agentic AI security, red teaming, threat modeling, DevSecOps, secure CI/CD, detection engineering, threat hunting, SIEM/SOAR automation, security data science, knowledge graphs, and advanced security testing.

Represents the Aircraft Maintenance Manual product across international authoring teams. Translates product definitions and technical authoring rules into operational guidance, performs quality checks, reviews rejected work orders, coordinates transversal deployments, tracks progress, and leads corrective actions. The role requires technical adaptability, cross-cultural collaboration, strong communication, autonomy, attention to detail, and fluent English, with additional European languages beneficial.

Own the architecture, development, and deployment of scalable data pipelines using Snowflake, dbt, and Dagster. Design data and machine learning models, implement tiered data architectures, and establish data quality, governance, security, RBAC, and masking controls. Provide technical leadership across CI/CD, version control, orchestration, and Agile delivery while collaborating with product, analytics, and platform teams.

Lead the vision, strategy, roadmap, and lifecycle of data, analytics, and AI-enabled products. Identify commercial opportunities, develop pricing and business cases, manage budgets, and drive product profitability. Partner with Product, Data Science, Engineering, and Commercial teams to deliver scalable solutions. Lead and develop Data Product Managers while influencing senior stakeholders and translating technical capabilities into customer and business value.

Develop optimization models, machine learning algorithms, and statistical solutions for global supply chain challenges, including network design, inventory, forecasting, and transportation. Clean and analyze large datasets, build production-ready solutions in Python or R, create dashboards, and communicate actionable insights. Collaborate with cross-functional technical and business teams to improve cost, service performance, and sustainability.

Graduate Data Consultant supporting client data and analytics projects through proof-of-concepts, dashboards, reporting tools, data models, documentation, and cloud analytics solutions. The role includes learning Snowflake, Databricks, and Matillion, contributing to internal tools, collaborating with delivery teams, and helping clients turn data into actionable insights. A bachelor’s degree, interest in data and cloud technologies, communication skills, and willingness to learn are required.