Top Data Jobs in Bristol

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.

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.

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.

The role involves leveraging data analytics to drive decision-making across product and growth teams, analyzing user engagement, designing experiments, and building scalable data frameworks.

The role involves developing sales strategies, managing customer relationships, driving growth in the Nordic region, and mentoring junior sales staff.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

As a Data Scientist, you will design bespoke data science solutions, drive project feasibility, build client relationships, and lead technical delivery, ensuring high standards in AI applications.