Top Data Jobs in Bristol

The Data Scientist III will analyze and optimize Sportsbook & Casino strategies, collaborate with stakeholders, and develop LTV models.

As a Product Marketing Manager at Gorilla, you'll focus on market research, positioning, messaging, and launch execution to enhance GTM strategy and customer influence in the energy sector.

Lead a team of engineers to develop data-intensive systems, drive technical direction, and improve engineering processes while maintaining hands-on involvement in code and architecture discussions.

The Data Engineer will design, build, and maintain data infrastructure, automate ELT pipelines, and ensure data compliance and quality. Responsibilities include collaborating with stakeholders, developing data warehousing solutions, and recommending new technologies.

Lead technical delivery and architecture for customer implementations, produce technical specifications and project plans, advise on integrations and scalability, train and mentor junior consultants, drive process improvements and product roadmap input, and travel occasionally to customer sites.

Own the validation lifecycle: translate data quality requirements into clear deterministic rule specifications, maintain the validation catalogue, monitor and tune controls, perform first-pass anomaly detection and RCA support, and collaborate with Product, Technology, and Data Owners to ensure scalable, testable, and maintainable data quality controls.

The Data Manager will oversee clinical trial data management, collaborating on trial design, setup, delivery, and product development to ensure quality outcomes.

As an AI Data Collector, you will capture high-quality images in various real-world environments to assist in AI system development.

The Data Engineer will build and maintain data pipelines, architecture, and CI/CD infrastructure, collaborate with stakeholders, and support AI components to enhance data management capabilities.

Lead the Finance & Regulatory Data team, overseeing finance data strategy, governance, and analytics to support corporate finance and audits.

The Java Engineer will develop and optimize data-intensive backend services, manage data feeds, and work on real-time insights for sports events.

The role involves managing the data acquisition and labeling lifecycle for AI audio models, ensuring quality and efficiency in operations while collaborating with research and external vendors.

The Data Standards Lead will develop and govern data standards for licensing, ensure data interoperability, and guide teams in applying these standards.

As a Principal Data Engineer, you will design and build large-scale backend services and data pipelines, lead architectural decisions, reduce technical debt, and mentor junior engineers.

The Software Engineer will manage data collection for model training, operating on GCP and using Terraform to enhance the ingestion pipeline, while collaborating with AI scientists to optimize data quality and cost.

The Account Manager for Data Services will generate new business, manage relationships with enterprise clients, lead sales cycles, and ensure client satisfaction through strategic account management and collaboration with internal teams.

The role involves providing actionable insights from data analytics in marketing, optimizing spend, managing GA4, and partnering with marketing teams.

The Senior Data Specialist will support data compliance and governance, implement data management policies, foster stakeholder relationships, and improve data practices across the organization.

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

The Data Science Manager will lead a team of data scientists to develop machine learning models for credit-related solutions and promote collaborative, data-driven insights across Kuda.

The Data Solution Architect will lead multiple teams to design and deliver data solutions, manage employee performance, and contribute to technical design and pre-sales processes.

As a Senior Data Engineer, you will design and develop large-scale data processing solutions and lead technical components in agile teams.

As a Data Architect at Kainos, you will provide guidance on data architecture, manage a small team, ensure data solutions fit client needs, and engage with stakeholders. You will also lead technical projects and support junior staff development.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.