Top Data Jobs in Bristol

The Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.

Develop data science-driven algorithms to enhance business processes, focusing on risk management and debt collection while optimizing credit services offered.

As a Senior Data Engineer, you will build and optimize data pipelines, manage AWS data infrastructure, and ensure data quality while collaborating with teams to translate business needs into reliable data solutions.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

The Data Solutions Consultant will engage with decision-makers, provide product demonstrations, and collaborate on innovative marketing strategies to drive sales growth and client satisfaction.

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

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.

As a Senior Data Scientist, you will lead teams to deliver algorithms for clients in defense, mentor junior data scientists, and ensure projects meet technical feasibility and timelines.

Lead and mentor a multidisciplinary team to build and scale reconciliation systems, ensuring data accuracy and reliability across payment ecosystems.

As a Data Scientist at Wave, you will optimize user initiatives, perform advanced analytics, and develop machine learning solutions to enhance user engagement and business impact.

The Data & Insights Analyst will provide analytical expertise to support Go-To-Market initiatives, optimize business models, and facilitate strategic decision-making through data-driven insights.

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

Lead the Data Conversion workstream, coaching junior consultants and managing Workday project delivery while ensuring client satisfaction and internal growth.

Develop machine learning models, feature engineering, validate performance, and generate actionable insights while collaborating across teams.

The Data Architect will design data architecture, establish standards, optimize performance, and collaborate with engineering teams to enable AI/ML and analytics at scale across various platforms.

Lead the Data Integrations domain, focusing on data connectors lifecycle and evolving the data integration platform. Ensure reliability and continuous improvement of connectors for enterprise customers.

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

The Senior Data Analyst will collaborate with Ops teams to optimize processes, monitor metrics, develop dashboards, and communicate findings effectively.

As a Growth Data Analyst, you'll analyze product performance, customer behavior, and trends, creating insights to inform product strategy and improve customer journeys.

Lead the data strategy and analytics team, ensuring data-driven solutions across the organization, while mentoring a skilled team and fostering a data culture.

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 the design, optimization, and deployment of machine learning forecasting algorithms and models that support Gorilla’s energy platform, ensuring scalability and integration while mentoring peers.

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