Top Data Science Jobs in Bristol

As an Account Executive, you'll manage the sales pipeline, engage senior stakeholders in financial institutions, and drive complex sales cycles from outreach to contract execution.

Lead and architect AI research for cybersecurity, recruit and mentor data science teams, design and deploy LLM and deep learning systems to production at scale, set technical strategy and represent CrowdStrike in research and thought leadership.

Lead the curriculum product strategy and a team of Product Managers, retain hands-on ownership of high-impact products, collaborate with cross-functional teams, and drive AI/data-driven product development and adoption through the full product lifecycle.

As Head of Supply Chain Optimisation and Product, you'll oversee supply chain management products, enhance operational efficiency, and lead data-driven improvements while collaborating with technology and supply chain teams.

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

The VP Product leads the strategy and execution of AI-driven products to combat financial crime, ensuring compliance and driving growth. Responsibilities include product strategy, team leadership, client advisory roles, and collaboration in regulatory compliance.

Join a pioneering team in post-quantum cryptography, working on RISC-V based security solutions. Collaborate on innovative technologies in a flexible environment.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

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

The Head of AI & Data Science will lead strategic AI initiatives, architecture, and R&D, partnering with C-suite executives and influencing engineering standards to enhance data technologies in finance.

Lead the development and implementation of a financial crime prevention product, shaping the product strategy and roadmap in a high-growth environment.

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

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

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.

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.

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 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.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.