Top Data Jobs in Bristol

Manage and grow a stable of freelance creators to produce and edit high-quality written and video tutorials on data science, AI, analytics, BI, data engineering and cloud. Write content briefs, edit submissions, combine SEO keyword analysis with domain expertise, and meet targets of 25 articles and 4 videos per month while ensuring quality and deadlines.

The Data Science Editor will create and edit tutorials on data science and AI, manage freelancers, and improve content through SEO practices.

Recruit, manage, and edit freelance creators to produce high-quality written and video tutorials on data science, AI, analytics, BI, and cloud. Write content briefs, combine SEO analysis with domain expertise, and meet targets of 25 articles and 4 videos per month while ensuring quality, deadlines, and payment management.

Analyze on-chain trading activity and market/DEX/CEX data at scale, build models for portfolio/PnL and capital efficiency, design AI-driven research pipelines, produce insights to inform product and capital strategy, and collaborate with product and engineering teams.

The Data Scientist will analyze marketing data for B2B growth, develop dashboards, and translate data insights into marketing strategies.

The Data Analyst role involves developing automated reporting workflows, analyzing media quality, and providing insights to clients. Responsibilities include SQL querying, Excel modeling, and collaboration with teams to ensure data accuracy and deliver insights.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

Lead and mentor as a Senior Data Scientist, delivering data-driven solutions, embedding AI/ML in products, and enhancing team capacity in a collaborative environment.

The Senior Data Engineer will own and architect the telemetry ecosystem, ensuring data quality and collaborating with product teams to drive insights.

As a Senior Data Engineer, you will design and maintain data systems, write complex ETL processes, and support machine learning models while collaborating closely with data science and web development teams.

The Senior ML Data Engineer will enhance data workflows, collaborate with teams to build datasets, influence data strategies, and implement pipelines for effective data usage in AI/ML products.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure to support data-driven decision-making in a collaborative environment.

The Principal Data Engineer designs and builds large-scale backend services and data pipelines, leading technical initiatives and mentoring junior engineers.

As a Data Scientist Manager, lead the delivery of advanced AI solutions, manage a team, engage with stakeholders, and innovate in AI technologies.

The Senior Data Scientist will focus on quantitative analysis, guide A/B tests, and collaborate with teams to enhance user engagement and product profitability.

The Senior Data Engineer will architect and maintain data infrastructure on AWS, develop data pipelines, oversee data lake management, implement governance and security practices, and collaborate with stakeholders.

Lead the product development lifecycle for Smart NIC and ToR switches. Drive product strategy, market engagement, and collaboration with teams to ensure successful product delivery and business outcomes.

The Senior Research Data Analyst conducts statistical analyses in health outcomes research, develops analysis plans, and supports study operations, including protocol development and literature reviews.

Drive value through data engineering by leading data migrations, designing data solutions, coaching junior engineers, and ensuring compliance with data privacy standards.

As a Data Scientist focusing on alternative data, you will analyze complex datasets, apply statistical and machine learning techniques, and develop tools for investment strategies.

The Media Business Director manages Growth Marketing accounts, leads key client relationships, oversees projects, and ensures team collaboration to drive commercial success.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.