Data jobs in Bristol

What you would do

• Collect, manage, assure and analyse spatial data to support multidisciplinary projects and evidence-based decision-making.
• Create clear maps, dashboards, applications and other visualisations that communicate complex information to technical and non-technical audiences.
• Support the development of efficient and repeatable geospatial workflows using GIS, data engineering, scripting and automation tools.
• Work collaboratively with engineers, planners, environmental specialists, designers and clients to understand requirements and turn them into useful spatial insights.
• Contribute to innovation, technical standards and continuous learning while developing experience across different projects, sectors and geospatial specialisms.

Skills

What you would do

• Translate business and operational requirements into AI solution designs and measurable outcomes.
• Develop, train and evaluate AI and Machine Learning models across computer vision, autonomy, LLMs and predictive analytics.
• Design and maintain data processing, training and evaluation pipelines.
• Apply Responsible AI principles ensuring model robustness, explainability, security and compliance.
• Deploy AI capabilities into production environments with software engineers.
• Define and monitor model performance metrics, data quality indicators and model drift measures.

Skills

What you would do

• Own the technology and shape the engineering function.
• Hands-on development across Python, APIs, AWS, Linux, databases and automation.
• Make technical decisions and establish engineering standards and best practices.
• Mentor existing developers and support their growth.
• Help grow the team through future hiring and onboarding.
• Balance hands-on development with technical leadership and team responsibilities.

Skills

What you would do

• Build and maintain the integrated Platform plan, translating ambition into mobilisation and implementation plans connecting outcomes, milestones, dependencies, resources and decision points.
• Create a single transparent view of progress, critical paths, risks, assumptions, issues, dependencies, outcomes and benefits to focus leadership attention.
• Bring together business, operations, product, engineering, data, architecture, risk, control and change colleagues around shared outcomes and an executable delivery sequence.
• Embed Data, Analytics and AI capabilities into client and colleague journeys.
• Identify gaps, overlaps and competing priorities across teams and drive actions to resolution.
• Establish working rhythms, governance and decision-making pathways.

Skills

What you would do

• Develop cutting-edge algorithms for weapon systems.
• Mathematically evaluate the performance of products.
• Work with future business teams to bring technical excellence to future concepts.
• Deliver critical algorithm components on time, on cost, and on quality to key programmes.
• Develop routing algorithms for long-range strike weapons.
• Develop operator decision aids for strike mission planning.

Skills

What you would do

• Own component backlogs and shape roadmaps.
• Refine epics and stories.
• Support sprint and PI planning.
• Connect product intent with engineering delivery and cross-team coordination.
• Surface dependencies, risks and trade-offs early.
• Help teams visualise progress and make delivery risks visible.

Skills

What you would do

• Lead the design and delivery of trusted, scalable management information and performance insight.
• Translate complex, multi-source operational data into concise recommendations for senior leaders.
• Own interpretation of key measures including service levels, productivity, utilisation, demand, backlog, quality and client outcomes.
• Lead deep-dive analysis to identify root causes, quantify risks and opportunities, and recommend interventions.
• Identify efficiency opportunities, capacity risks and performance improvement areas.
• Create executive-ready performance narratives.

Skills

What you would do

• Design, develop and deploy AI and ML solutions for autonomous and mission-critical systems.
• Build machine learning, deep learning and computer vision models.
• Develop solutions using LLMs and emerging AI technologies.
• Support autonomous capabilities using ROS 2 and similar frameworks.
• Implement robust software engineering, testing, CI/CD and MLOps practices.
• Support bids, demonstrations, workshops and customer engagements.

Skills

What you would do

• Assist in defining the direction for future IT products and services and validate product designs.
• Participate in all phases of the application development life cycle including integration, validation and production.
• Align architecture strategy with organisational business goals.
• Define policies, standards and guidelines for IT selection, development, implementation and use.
• Manage projects including gathering requirements, creating technical specifications and architecture documents, maintaining documentation and managing project timelines.
• Work across engineering, design, quality, operations support, cyber security, IT solutions, helpdesk, supply chain and logistics teams.

Skills

What you would do

• Lead end-to-end architecture and delivery of modern cloud data platforms.
• Design scalable ETL/ELT pipelines and data products using Python, SQL, dbt and GCP.
• Define enterprise data architecture, data models, integration patterns and platform roadmaps.
• Drive MDM, data governance, metadata, lineage and data quality initiatives.
• Establish CI/CD, DevOps, DataOps, testing and monitoring best practices.
• Partner with Data Science and AI teams to build production-ready data foundations.

Skills

What you would do

• Act as primary point of contact across community platform, GitHub, and social channels, responding to technical questions and moderating discussions.
• Develop and share technical content including product updates, tutorials, social updates, and newsletters.
• Maintain relationships with key influencers, edge AI leaders, and power users.
• Organize and host community events, webinars, and meetups tied to product launches and industry events.
• Showcase product capabilities, gather and route feedback to product teams, and advocate for community-requested features.
• Grow the community organically while maintaining forum health through tagging, categorization, and response-time SLAs.

Skills

What you would do

• Design, develop and maintain scalable data pipelines using Microsoft Fabric, Azure Databricks and Azure Synapse.
• Develop ETL/ELT solutions using PySpark and SQL.
• Build and optimise data integration solutions using Azure Data Factory and Microsoft Fabric.
• Design scalable lakehouse and data warehouse solutions.
• Optimise data performance, reliability and quality across cloud platforms.
• Collaborate with data scientists, analysts and software engineers to deliver business solutions.

Skills

What you would do

• Support clients in making placemaking ambitions a reality by developing place-based economic strategies, programme-level delivery plans, business cases, and investment propositions.
• Design and use place analytics tools and economic impact assessment tools.
• Undertake research and analysis using a wide range of data sources to produce high-quality reports.
• Liaise with clients and contribute to client engagements.
• Work with colleagues across disciplines to bring insight to clients.
• Contribute to regeneration projects across the UK.

Skills

What you would do

• Develop and evolve a centralised data platform, owning data pipelines from source systems through to the wider data platform.
• Build and maintain pipelines using Databricks (Delta Lake, Unity Catalog), PySpark, Azure Data Factory, Azure SQL Server and existing data warehouses.
• Perform large-scale data transformation and processing with PySpark.
• Work with ELT, REST APIs and JSON.
• Design data models across relational and non-relational technologies.
• Optimise and maintain pipelines.

Skills

What you would do

• Develop AI agents, copilots, and intelligent automation solutions.
• Build AI applications using LLMs, APIs, and enterprise data sources.
• Prototype and evaluate new AI technologies for manufacturing and engineering use cases.
• Collaborate with engineering, operations, and IT teams to solve business challenges.
• Support the deployment and adoption of AI and digital transformation initiatives.

Skills

What you would do

• Deliver advisory projects across infrastructure, industrial and built environment sectors, spanning pre-feasibility, feasibility, FEED and Owner's Engineer services.
• Develop techno-economic models, energy forecasts, scenario analyses and market models to support decarbonisation strategy and utility optimisation.
• Build and maintain data dashboards, analytical tools and automated processes using Excel, Power BI, Python and SQL.
• Identify scope gaps, key risks and critical deliverables to ensure robust technical and commercial outcomes.
• Manage client relationships, lead progress meetings and presentations, and prepare compelling proposals to secure new business.
• Collaborate with sales teams on business development activities to grow the Core Energy portfolio and pipeline.

Skills

What you would do

• Build and manage precise, timely, actionable reporting for the Advanced Export customer base.
• Analyse performance metrics to deliver insights guiding operational decisions.
• Equip Account Managers and Specialists with data and tools to maintain service standards.
• Assist with operational tasks including direct customer engagement to resolve operational issues.
• Understand contractual commitments and ensure compliance across processes and customer communications.
• Resolve issues proactively on the first attempt.

Skills

What you would do

• Build data lakes and warehouses.
• Create processes to extract or access operational data.
• Transform siloed datasets into integrated data models.
• Build data pipelines to ingest and transform data.
• Query and report on analytical data.
• Design and build well-structured, maintainable systems.

Skills

What you would do

• Research and develop techniques to GPU-accelerate workloads in deep learning, machine learning, and other AI domains.
• Analyze and optimize complex AI and HPC algorithms for optimal performance on modern CPU and GPU architectures.
• Partner with technical experts from industry and academia.
• Publish and present optimization techniques in developer blogs and conferences.
• Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams.

Skills

What you would do

• Uncover customers' pain-points and desired gains by interviewing customers and mapping inefficiencies in internal processes.
• Design, build, and refine models and algorithms supporting experiments, prototypes, and MVPs using statistical and machine learning approaches.
• Translate business or innovation ideas into testable experiments to validate against data or with stakeholders.
• Lead analytical workstreams from problem framing to prototype development, validation, and handover to production or scaling teams.
• Collaborate with experiment managers, engineers, domain experts, and product teams to build alignment and ensure adoption of solutions.
• Mentor other team members, share best practices, and contribute to internal data science communities.

Skills