Top Data Jobs in Bristol

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

The Staff Data Analyst will lead product analytics, define success metrics, evaluate feature impact, and partner with product teams to shape data-driven product strategy.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

The Senior Data Engineer will lead data solution design and delivery, mentoring junior staff, and engaging with clients to drive data strategy using Azure technologies and AI.

The Data Product Owner will manage the entire data lifecycle, lead a team of engineers, and align product vision with business goals in a remote setting.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

As a Senior Data Engineer, you will build and optimize data pipelines, enhance AWS infrastructure, and ensure data quality for business insights.

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 Product Data Scientist at MoonPay, you will analyze data to influence product strategy and optimize the customer onboarding journey, working with cross-functional teams to drive business impact.

The Senior Marketing Data Analyst will enhance marketing data insights, implement tracking for campaigns, and drive strategic decisions through robust analytics and reporting.

Deliver scalable data infrastructure for automated workflows, design data warehouse schemas, and create dashboards for stakeholders in finance.

The role involves leading generative AI solutions, collaborating with clients, developing NLP applications, and contributing to AI methodologies at Ascent.

The Data Engineer will design and deploy data pipelines, collaborate with different teams, and manage data quality and governance for optimal performance.

As a Staff Data Engineer, you'll architect and build data pipelines, champion small data strategies, mentor teams, and ensure operational excellence in data workflows.

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.

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

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

As a Senior Data Engineer, you will develop data platforms and pipelines, collaborate with stakeholders, mentor juniors, and support pre-sales efforts.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

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

The Data Analyst will transform raw data into actionable insights, develop data models, ensure data quality, and create visualisations for strategic decisions.

The Senior Data Engineer designs and optimizes data infrastructure using GCP tools, builds scalable ETL/ELT pipelines, and ensures data quality and governance while collaborating with teams for advanced analytics.