Top Data Jobs in Bristol

The Data Engineer will build and maintain data infrastructure, optimize performance pipelines, and ensure efficient data ingestion and querying for analysis within a high-performance AI media platform.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

The Market Data Analyst will oversee data quality and operations for metals and minerals, monitor market trends, support clients, and improve data workflows using SQL and Python.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Lead a team in developing scalable data solutions, mentor engineers, manage expectations, and contribute to code. Focus on high-quality software practices.

Lead the development of Smart Data Products within Actian's ecosystem, managing all stages of the product lifecycle and collaborating with cross-functional teams to drive innovation and adoption.

Design, build, and optimise scalable data pipelines and Lakehouse layers (Bronze/Silver/Gold) in Microsoft Fabric using SQL and PySpark. Integrate ERP/CRM/APIs, ensure data quality/governance, support Power BI semantic models, monitor and troubleshoot pipelines, and collaborate with stakeholders for analytics and reporting.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.

Build, deploy, and iterate predictive models and real-time scoring pipelines using behavioral and clickstream data to improve lead quality and campaign optimization. Collaborate with marketing, media buying, and analytics teams to translate business needs into hypotheses, perform exploratory analysis, monitor model performance, and communicate statistically rigorous insights to non-technical stakeholders.

Lead the Supply Data Science team to define strategy, optimize marketplace participant supply, and collaborate across departments to enhance efficiency and participant experience.

The Data Scientist will analyze data, build and refine machine learning models, document technical designs, and collaborate with multidisciplinary teams to deliver AI solutions.

The Executive Partner manages a portfolio of clients, providing expert guidance in Data & Analytics, mentoring executives, and ensuring client value through various engagements. Responsible for retention and growth, the role emphasizes collaboration with internal teams and requires strong executive presence.

As a Senior Data Engineer, you will design, develop, and maintain scalable data pipelines, ensuring data quality and integration to support business requirements.

Lead high-complexity analytics projects: partner with stakeholders, prepare and blend large datasets, apply intermediate statistics, build models and visualizations, deliver insights, and mentor junior analysts.

The Senior Data Analyst will analyze large datasets, especially in the insurance sector, to provide actionable insights, validate data submissions, and support business objectives with reporting solutions.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

As a Data Engineer, you will build and maintain data systems for drug safety AI tools, ensuring reliable data processing and storage for research teams.

The Senior Product & Growth Data Scientist will analyze user behavior, run experiments, shape product strategy, and influence growth metrics to drive company success.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

Design and implement core YTsaurus functionality in C++, build and evolve platform-level capabilities, improve APIs and UX for internal users, own production quality including incident response/on-call, and collaborate with stakeholders to prioritize and deliver scalable data platform features.

As a Commercial Account Executive, you'll engage customers, manage sales opportunities, create pipelines, forecast business, and communicate with various teams to close sales successfully.

The Data Engineer will design and maintain the data infrastructure, develop data warehousing solutions, automate data pipelines, and ensure compliance with governance policies.

As Data Lead, you'll lead data projects, create Power BI reports, maintain data pipelines, and ensure data governance, shaping strategic data directions.

Lead the fraud detection strategy, developing and deploying models while working directly with clients to address their fraud challenges. Manage detection logic and collaborate with engineering to implement solutions.

The Senior Data Engineer will enhance backend systems for a social media app by managing databases, optimizing recommendation algorithms, and ensuring accurate recommendations.