Top Data Science Jobs in Bristol

The Senior Director of Business Development will drive Cytel's Large Pharma expansion by managing client relationships, executing sales strategies, and leading proposal development.

Lead and manage HPE's human rights due diligence and impact assessments across operations and the value chain, develop standards and strategy, engage stakeholders and industry groups, support reporting and data management, and drive work on responsible technology use and AI ethics.

The Lead Data Scientist will set technical directions, oversee complex projects, mentor teams, and build relationships with clients while ensuring high-quality deliverables.

The Trader role involves managing trading systems, collaborating with developers, solving practical problems, and optimizing trading processes in a fast-paced environment, requiring availability for various shifts.

As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.

As a Software Engineer, you will design and develop applications, write clean code, engage in code reviews, optimize systems, and explore new technologies in a remote team.

This role invites speculative applications for various tech positions. Candidates with skills in Salesforce, DevOps, AWS, and user experience are encouraged to apply.

Lead and develop a Data Science team to deliver scalable ML/AI solutions for an online Personalisation programme, ensuring impactful customer experiences.

Lead the development of reporting and analytics capabilities, improve product features, and drive cross-functional collaboration to enhance customer satisfaction and revenue growth.

The role involves creating research content, providing insights in Analytics and AI, engaging with clients, and mentoring team members. A strong focus on industry trends and effective presentation skills is required.

The Senior AI Transformation Consultant works with clients to identify AI opportunities, define robust business cases, and oversee AI project deployments, ensuring solutions deliver value.

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

Lead the Supply Data Science team to define strategy, optimize marketplace participant supply, and collaborate across departments to enhance efficiency and participant experience.

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

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.

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.

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