Top Data Jobs in Bristol

As an Infrastructure Engineer, you'll manage data infrastructure, enhance automation, ensure platform reliability and collaborate with internal teams for data needs.

Lead design and delivery of data engineering solutions and pipelines for Squarcle products and clients. Build ETL/streaming pipelines, integrate APIs and SaaS, work with cross-functional teams, mentor staff, contribute to product strategy, and ensure security and Agile delivery aligned to GDS standards.

The VP of Data will expand and mature the data function at Breakout by scaling data platforms, establishing governance, and embedding data into strategic decisions, while leading and mentoring the data team.

The Senior Data Product Manager focuses on defining the product strategy for an internal experimentation platform, overseeing its development, and collaborating with various teams to drive data-driven decision-making and promote a hypothesis-driven culture.

Lead project teams in delivering bespoke algorithms, mentor other data scientists, and shape client relationships in the defence and national security sector.

As a Senior Data Engineer, you will manage complex data projects, lead small teams, and work with clients on data engineering solutions. Responsibilities include ETL development, data pipeline orchestration, and customer relationship management.

As a Senior Algorithm Engineer, you'll lead the design and scaling of algorithms for data solutions in the energy sector, collaborating with cross-functional teams to optimize performance and mentor peers.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

As a Data Scientist, you will create and enhance detection models for secure Generative AI adoption, collaborate with teams on data curation, and drive continuous model improvement based on customer feedback.

Seeking detail-oriented reviewers for AI training projects, evaluating outputs, generating content, and ensuring cultural relevance. Requires strong analytical skills and attention to detail.

Evaluate and review AI outputs, generate or assess content, and ensure cultural relevance and accuracy in various media for AI projects.

The Senior Clinical Data Manager oversees comprehensive data management activities throughout the clinical trial process, ensuring compliance and quality of data. The role includes collaboration with stakeholders, handling regulatory submissions, and managing multiple drug development programs.

As a Data Engineer at Starling, you will build cloud-native data warehouses and ML platforms, improving tooling within AWS and GCP.

The Associate Director leads financial crime advisory projects, managing client engagements and mentoring junior staff, while driving business growth through strong client relationships and innovative solutions.

The Curriculum Manager will oversee the content development lifecycle, recruit instructors, design curriculum, assess course performance, and improve data science and engineering content.

The Staff Product Data Scientist will influence product and strategy by conducting deep analyses, framing problems, and producing decision memos. Responsibilities include shaping strategy with data insights, defining metrics, and collaborating across the business to tackle ambiguous challenges and drive measurable change.

The Sr. Sales Specialist will drive and support complex PLM sales cycles, connecting technical solutions to financial outcomes and collaborating with account owners and partners to close high-value deals in a growth-focused environment.

The Senior Data & AI Solution Architect will design scalable solutions, engage with clients, oversee implementations, and innovate in the Data & AI field.

Lead the Luna data team as a technical practice lead, focusing on migrating data from Redshift to AWS RDS while mentoring team members in Python and DataOps practices.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.

The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.

The Senior Software Engineer II will design and implement generative AI services, drive architectural standards, mentor engineers, and collaborate across teams to enhance data solutions.

As a Principal Data Analyst at Airalo, you'll drive product analytics by defining success metrics, designing experiments, and analyzing user behavior to influence product strategy and connect metrics to revenue outcomes.

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 Data Mentor provides technical support and feedback to apprentices, ensuring high standards in teaching, learning, assessment, and learner progression monitoring.