Top Data Jobs in Bristol

The Principal Client Manager leads sales processes for mid-market and enterprise clients, focuses on client needs, drives revenue growth, and mentors junior team members.

Lead the European data center market strategy, develop customer relationships, drive sales growth, and influence industry policies through strategic collaboration and thought leadership.

The HR Operations Coordinator supports HR inquiries, processes data for HR systems, generates reports, and ensures compliance with HR policies. This role requires effective communication and confidentiality while performing HR operational tasks and supporting HR technology projects.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

Seeking a freelance technical writer for data infrastructure and engineering workflows. Responsibilities include translating complex concepts into digestible content and collaborating with SMEs for accurate communication.

The Data Operations Engineer manages data feed infrastructure, ensuring secure, accurate data transfer, and collaborates with various teams to optimize processes.

The Data Architect will design and implement cloud-native data architectures, maintain data pipelines, and collaborate with teams for data-driven solutions.

Lead the Hotel Optimization team, design data-driven models, drive revenue opportunities, and automate processes through advanced analytics and programming.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

As a Technical Lead, you will guide development teams, manage project delivery, translate client requirements, and uphold software best practices.

As a Senior Data Scientist, you will design and build bidding algorithms, enhance optimization algorithms, and work with large datasets. You will collaborate with agile teams, develop new products, and provide mentorship.

The Data Engineer role involves designing and deploying production data pipelines, collaborating with stakeholders, and utilizing AWS technologies for data processing and analytics.

The Head of Data & AI will establish a data capability that drives intelligent decision-making, innovate AI workflows, and build a high-performing team while ensuring data governance and compliance.

The Data Scientist will analyze data, build and refine machine learning models, document technical designs, and collaborate with multidisciplinary teams to deliver AI solutions.

Supervise mailroom operations and team management, ensuring compliance with policies, performance, and quality standards. Handle service requests and personnel management.

As a Senior Director Analyst in Data Security, you'll research and analyze data security trends, support clients, produce written insights, and collaborate with teams to deliver high-quality advice, while leveraging expertise in data security technologies and practices.

Manage relationships with 25-30 members, assist clients in achieving priorities using Gartner assets, provide tailored service solutions, and oversee member lifecycle activities including retention and growth strategies.

The Senior Director Analyst will conduct research and analysis in data management, focusing on trends, best practices, and emerging technologies, while supporting sales and client engagement.

As a Senior Backend Engineer, you'll develop backend services and APIs, collaborate with cross-functional teams, and ensure code quality and performance in a high-growth environment.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Lead a team in developing scalable data solutions, mentor engineers, manage expectations, and contribute to code. Focus on high-quality software practices.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.