Top Data Jobs in Bristol

As a Senior Data Analyst, you will analyze marketing performance, implement multi-touch attribution, and provide insights for strategic decisions.

As an Account Executive, you'll manage the sales pipeline, engage senior stakeholders in financial institutions, and drive complex sales cycles from outreach to contract execution.

The Google Partner Sales Lead drives sales and business development through the partnership with Google Cloud, focusing on generating new business, managing channel harmony, and providing sales enablement.

Work with Product, Engineering, and Design to define metrics, run experiments, perform product analyses, build causal frameworks, and translate insights into data-driven product improvements and reports.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

As a Data & AI Consultant, you will strategize and implement Data & AI solutions to enhance business value, advising clients on governance and capabilities.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

Lead the strategic direction and roadmap of Samsara's Reporting Platform, enhancing data analysis through AI/ML, and managing customer relationships and complex technical initiatives.

Lead research and engineering for GenAI applied to cybersecurity: define model architectures and training, build production-scale AI systems, mentor scientists, set technical standards, and represent CrowdStrike in publications and talks.

Lead and architect AI research for cybersecurity, recruit and mentor data science teams, design and deploy LLM and deep learning systems to production at scale, set technical strategy and represent CrowdStrike in research and thought leadership.

This role leads data product strategy and governance, ensuring compliance and robust operating models while fostering team development and collaboration across the organization.

As a Senior Data Quality Engineer, you'll lead automation frameworks, address data quality in engineering projects, and ensure successful product delivery.

The Technical Data Analyst will manage and validate product data for compliance with forest product regulations, focusing on traceability and risk assessment in supply chains.

As a Data Engineer, you'll develop data pipelines, maintain cloud infrastructure, implement ETL processes, and collaborate with teams to ensure data quality and delivery.

The Product Manager for Data will lead the rollout of data products for clients, overseeing requirements, development support, adoption, and communication while contributing to a global data model.

The role involves managing geospatial datasets, ensuring data quality, building geospatial ETL workflows, collaborating with teams for data integration, and contributing to geospatial modernization initiatives.

Coordinate data migration activities into Microsoft Dynamics 365 by gathering and validating mapping requirements, managing documentation and risks, supporting cleansing and testing cycles, capturing defects, and ensuring data readiness and sign-off across technical teams and business SMEs.

Lead data science and application development projects, mentor colleagues, and implement AI solutions for complex audits in a hybrid role.

The Data Scientist will collaborate with teams to analyze data, develop predictive models, and translate insights into actionable business solutions.

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.

The Senior Data Scientist will leverage experience in AI and NLP to improve data science approaches, coach team members, and contribute to complex problem-solving in machine learning.

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.

As a Senior Java Engineer, you will develop and optimize backend services for data-intensive applications, focusing on high reliability and performance in live sports environments. You will collaborate on architectural decisions, manage data pipelines, and work within an agile team deploying applications on AWS.

The Head of Data Risk Innovation will lead the Data Risk Innovation team to improve data and privacy risk management through AI and automation, collaborating across business units and ensuring compliance with risk frameworks.

The role involves redefining risk management processes using AI and data analytics, ensuring compliance, and driving innovation in the Data Risk Innovation team.