Top Data Jobs in Bristol

The Data Steward - Finance & Strategy will lead data governance initiatives, collaborate on enterprise data management, drive user adoption of data capabilities, and support analytics deployment in finance processes. Responsibilities include ensuring data quality and metadata management while coaching teams on data stewardship principles.

The Risk Data Scientist will develop data-driven solutions to optimize risk management by leveraging advanced machine learning and statistical methods. Responsibilities include collaborating with stakeholders, managing large data sets, coding, keeping up with industry trends, and presenting insights to stakeholders.

As a Senior Data Scientist at eyeo, you will work on various projects including optimizing business processes, designing algorithms for real-time bidding, conducting A/B tests, and enhancing data collection strategies. You'll collaborate with engineering and product teams to provide analytical insights and improve product offerings.

The Data Annotation Specialist for Hebrew is responsible for data tagging, validation, classification, image identification, and detecting audio events. This entry-level role offers learning support to gain experience in the AI industry, focusing on ensuring data accuracy and performance evaluations of Automatic Speech Recognition models.

As a Senior Data Scientist, you will lead an analytics research team, focusing on predictive modeling, machine learning, and developing computational models for optimizing analytics. Responsibilities include collaborating on new algorithms, applying advanced data analysis techniques, mentoring junior researchers, and communicating research findings effectively.

As a Data Science Consultant, you will lead the development of analytical models and support data-driven decision-making for government and security clients, focusing on advanced analytics and problem-solving across the full modeling lifecycle.

As a Data Analyst, you'll support data management processes for Hinkley Point C project, manage engineering data tools, improve data quality, and provide analytical insights to enhance project efficiency through collaboration with various project teams.

The Lead Price Comparison Data Analyst will analyze insurance price comparison data, transforming complex datasets into clear insights for decision-making. They will work with marketing, pricing, and product teams to drive performance and optimize pricing models, presenting findings to senior leadership and supporting analytics developers.

As a Data Engineer at Ascent, you will design and create data pipelines that transform and optimize data for analytics and other uses. You will collaborate with stakeholders, manage data lineage and metadata, and work with Azure data services in a team-focused, Agile environment.

The Commercial Data Analytics Developer will analyze marketing data and collaborate with the marketing team to translate business requirements into insights. Responsibilities include statistical modeling, BI report development, and improving marketing data models to enhance customer experiences.

As a Data Architect, you will design and manage data architecture for BI applications, ensuring robust data infrastructure and analytics solutions. Responsibilities include database design, data integration, developing ETL pipelines, and collaborating with analysts to meet data requirements. Experience with cloud solutions and programming is essential.

You will be responsible for maintaining and setting up automated data ingestion pipelines, simplifying existing data pipelines, designing a cloud-native data warehouse, and collaborating with data scientists for ML model deployment. Key tasks include data storage, data manipulation, and cloud infrastructure management.

The Data Senior Manager, Growth is responsible for leveraging data to drive growth strategies and optimize decision-making. Key responsibilities include developing attribution models, calculating channel-level CACs, designing experiments, and creating dashboards that provide insights into growth performance.

The Data Engineer will develop databases and data pipelines, create end-to-end data solutions, and maintain scalable data solutions while collaborating with various stakeholders to ensure data security and project success.

The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.

The role involves evaluating and rating e-commerce data based on specific guidelines, conducting online research, and providing feedback to improve AI technologies. It is targeted towards entry-level candidates and offers flexible hours as a freelance opportunity.

As a Senior Data Engineer, you will design and implement a cloud-based Consumer Data Lake, transforming consumer data into actionable insights through hands-on technical execution and collaboration. You will build and optimize data pipelines, ensure data quality, and work with global teams to meet business needs while adhering to privacy regulations.