Top Data Jobs in Bristol

Leads a team overseeing operational risks across technology, cyber, and data. Responsibilities include allocating resources, reviewing risk assessments, testing controls, monitoring threats, evolving risk policies and appetites, preparing executive reporting, and representing the oversight function at governance committees. The role acts as deputy to the Head of Operational Risk Oversight and provides independent challenge, strategic direction, team development, and assurance to senior management.

Own enterprise technical support cases from triage through resolution across Kubernetes, cloud infrastructure, ML platforms, authentication, data connectivity, and model deployment. Diagnose issues, write actionable Jira bug reports, create knowledge-base documentation, coordinate global case handoffs, and communicate clearly with customers. The role includes live troubleshooting sessions and participation in an EMEA weekend on-call rotation.

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 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.

Designs end-to-end data architectures and blueprints for complex client programs, covering ingestion, orchestration, governance, security, cost optimization, observability, and AI capabilities. Leads engineering teams, translates business needs into scalable data solutions, manages client engagements, supports bids and business growth, develops thought leadership, and mentors team members. The role requires hands-on data experience, strong stakeholder collaboration, and expertise across major cloud and data platforms.

Lead the design and delivery of scalable data platforms, pipelines, models, and integrations. Oversee ingestion, transformation, governance, security, monitoring, and operational reliability across client projects. Collaborate with analysts, data scientists, architects, project managers, and stakeholders to translate requirements into technical solutions. Support predictive model deployment, prototype emerging technologies, and mentor data engineers through coaching, code reviews, and knowledge sharing.

Develops data models, governance policies, quality assurance processes, access controls, compliance practices, and workflow improvements across defence programmes. The role identifies data anomalies, supports data projects, trains employees on governance principles, and collaborates with IT, security, cyber, export control, and business stakeholders. Regular international travel to Japan and Italy is required, along with UK Security Check clearance eligibility.

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.

Two-year graduate role developing into a Digital Strategy and Data Analyst. Responsibilities include shaping digital strategy, identifying technology trends, analyzing and modeling cross-functional datasets, building dashboards, managing international stakeholders, and preparing business cases and strategic presentations to support leadership decisions. The role includes at least one rotational placement and structured professional development.

Serve as the technical authority for enterprise customers in data security, owning the technical sales process. Deliver technical presentations, demos, and whiteboard sessions, advise on AI/ML-driven data protection, and drive outcomes through value-based selling with partners and GTM teams.

Collect, QC, standardize, and enter energy industry data into a GIS database for a regional area. Produce regional maps and editorial outputs to deadlines, assist regional experts sourcing activity across oil, gas, and renewables, and support client interfacing and product promotion.

Lead multidisciplinary design teams delivering complex hyperscale, colocation, and enterprise data centre projects across Europe. Oversee projects from site due diligence and campus planning through detailed design and construction documentation. Ensure high-quality, timely outputs, manage risks, support commercial governance, maintain client relationships, coordinate permitting and localization requirements, and present to stakeholders. Regular travel across UK&I and European offices is required.

Analyze semiconductor manufacturing and test data across NPI, yield engineering, product quality, and high-volume production. Identify yield-loss mechanisms, process variation, failure signatures, outliers, and reliability issues; conduct root-cause investigations and statistical analyses; and develop automated scripts, dashboards, and repeatable workflows. Communicate findings through visualizations, reports, and presentations while collaborating with engineering teams and global manufacturing partners. Worldwide travel may be required.

Manage the day-to-day operation, administration, governance, and quality of CRM data across the Group. Identify and resolve errors, duplicates, missing information, workflow issues, and inconsistencies; maintain fields, permissions, standards, and documentation; and develop reporting, dashboards, automation, enrichment, migration, and integration processes. Collaborate with Marketing, Business Development, Communications, IT, and technology partners to improve data quality and commercial insight.

Own the design, delivery, and operation of complex data pipelines, datasets, and platform components. Translate business needs into scalable data models and reliable data products, improve data quality and observability, resolve production issues, and establish reusable engineering tools and standards. Collaborate with product and business stakeholders, contribute to architecture decisions, mentor engineers, and participate in on-call support.

Designs, builds, operates, and supports secure, governed data pipelines and services for reporting, integration, migration, and analytics. Responsibilities include ingestion, transformation, validation, publishing, data modeling, quality controls, lineage, metadata, access controls, migration, monitoring, troubleshooting, and documentation. The role collaborates with analysts, architects, developers, and business stakeholders across cloud data environments.

Leads engineering strategy, architecture, delivery, and productionisation for a secure cloud Data Intelligence Platform. Designs ingestion, streaming, transformation, lakehouse, serving, API, and feature-pipeline capabilities while establishing data quality, governance, lineage, observability, CI/CD, infrastructure-as-code, resilience, and FinOps standards. Coordinates analytics, ML, security, infrastructure, suppliers, and operations; manages technical priorities and risks; supports governance decisions; and mentors data engineers.

Embedded within the commercial team, the Staff Data Analyst will own trusted metrics for conversion, contracted volume, sales, margins, pipeline, and forecasting. Responsibilities include improving forecast accuracy, diagnosing CRM and transactional data quality issues, analyzing commercial opportunities and partner performance, identifying risks and trends, and translating complex findings into recommendations for senior stakeholders. The role also promotes metric adoption and self-service analytics across non-technical commercial teams.

Build the companys first data stack and data products (internal analytics and customer-facing). Work across data engineering, devops, and software tasks; ship early features, improve developer experience, document proposals, and iterate based on feedback.

Leads the design and scaling of Databricks-based data, analytics, and AI platforms supporting global customer operations. Builds enterprise data pipelines, machine learning, NLP, generative AI, conversational AI, dashboards, and operational intelligence solutions. Establishes governance, data quality, CI/CD, reliability, and AI lifecycle standards while partnering with product, operations, engineering, workforce management, and AI teams. Provides technical leadership, coaching, and mentorship to engineers and data scientists.

Evaluate and annotate 3D meshes, GLB files, images, and short videos for model training and error resolution. Identify whether assets are artist-created or AI-generated, and detect geometry defects, topology errors, and scene inconsistencies. Requires hands-on 3D modeling experience, familiarity with Blender or Maya, strong mesh-topology knowledge, English proficiency, and a suitable computer with dedicated graphics capabilities.

Curate and interpret drug discovery data from scientific papers, patents, and other disclosures. Responsibilities include interpreting chemical structures and biological data, building and maintaining databases, researching biopharmaceutical R&D, and surfacing accurate insights for scientific and industry audiences. The role requires strong data curation, patent literature, chemoinformatics, scientific communication, and attention to detail skills.

Build and operate distributed ingestion and processing pipelines, ensure reliability and performance, define data contracts, add observability and testing, improve platform reliability and CI/CD, and participate in design/code reviews and incident retrospectives.

Design, build and maintain data platforms, pipelines, lakes/warehouses and analytical models. Deliver client-facing solutions, advise on technical direction, lead teams, and implement robust, maintainable data engineering systems for analytics and ML training.

Design and build data platforms, pipelines, lakes and warehouses; ingest, transform and model data for analytics and ML; lead teams, set technical direction, and work client‑facing (ad‑hoc onsite in London).