Top Data Jobs in Bristol

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

The Data Product Manager will oversee data product intake, manage stakeholder engagement, define product specifications, and ensure delivery aligns with business value and SLAs. Responsibilities include prioritizing data requests, managing a roadmap, and facilitating collaboration across teams.

As a Data Product Manager, you'll oversee the design and delivery of data products by collaborating with stakeholders, managing the roadmap, and ensuring alignment with strategic priorities to enhance business value.

The Lead Data Scientist will set technical directions, oversee complex projects, mentor teams, and build relationships with clients while ensuring high-quality deliverables.

Perform full data entry and processing at box and file level. Handle physical records (including heavy lifting and dusty conditions), meet accuracy and throughput targets, and collaborate with the team.

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

The Data Product Owner will manage the entire data lifecycle, lead a team of engineers, and align product vision with business goals in a remote setting.

The Senior Data Engineer will lead data solution design and delivery, mentoring junior staff, and engaging with clients to drive data strategy using Azure technologies and AI.

The Senior Threat Data Infrastructure Engineer will manage infrastructure for threat intelligence collection, maintain projects, and enhance workflow efficiency for analysts.

The Regional Account Manager for Data Centres will manage strategic client relationships, develop account strategies, and drive sales initiatives across Europe while ensuring customer satisfaction and growth.

Lead design and implementation of machine learning and optimisation models (MIP) for predictive and prescriptive analytics, deploy production pipelines, collaborate with product and engineering teams, mentor staff, run Agile projects, and support digital strategy and capability building.

Lead and mentor data engineering teams to design, build, and optimize scalable ETL/ELT pipelines and data architectures on cloud platforms, ensuring data quality, performance, and alignment with business needs.

Design, build and maintain ETL/ELT pipelines and data models using Python, SQL, Spark and Azure. Ensure data quality, governance and performance, create dashboards, and work with cross-functional teams to deliver scalable data solutions.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

As a Senior Data Engineer, you will manage complex data projects, lead small teams, and work with clients on data engineering solutions. Responsibilities include ETL development, data pipeline orchestration, and customer relationship management.

As a Senior Product Data Scientist at MoonPay, you will analyze data to influence product strategy and optimize the customer onboarding journey, working with cross-functional teams to drive business impact.

Design, build and maintain scalable data pipelines (streaming, batch, API) using Azure data services. Collaborate with product, infra, and data science teams to deliver ETL, data modelling, integrations, and prototypes. Support client engagements, participate in Agile delivery, ensure best-practice code and documentation, and obtain required security clearance.

Lead design and delivery of data engineering solutions and pipelines for Squarcle products and clients. Build ETL/streaming pipelines, integrate APIs and SaaS, work with cross-functional teams, mentor staff, contribute to product strategy, and ensure security and Agile delivery aligned to GDS standards.

Lead design and delivery of machine learning and optimisation solutions for clients, build production-ready pipelines, integrate models into systems, monitor performance, mentor teams, support Agile delivery, and assist in developing Squarcle's Technology and Digital capabilities.

Lead project teams in delivering bespoke algorithms, mentor other data scientists, and shape client relationships in the defence and national security sector.

As a Senior Algorithm Engineer, you'll lead the design and scaling of algorithms for data solutions in the energy sector, collaborating with cross-functional teams to optimize performance and mentor peers.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

Deliver scalable data infrastructure for automated workflows, design data warehouse schemas, and create dashboards for stakeholders in finance.