2 Data Science jobs in Edinburgh, United Kingdom.

Summary This apprenticeship provides experience across business admin, client support, training course coordination, enquiry mgmt. and business development support within Osteopaths For Industry (OFI).

Why Ocado? Here at Ocado Logistics, it’s our mission to provide an outstanding customer experience for our partners, developing groundbreaking technology, opening multiple sites at an accelerating rate, and engaging in exciting new business partnerships around the world—changing the way the world shops, for good.

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact.

AVEVA is creating software trusted by over 90% of leading industrial companies.

Minimum qualifications: - PhD degree in a technical field or equivalent practical experience.

Minimum qualifications: - PhD in Computational Materials Science, Solid-State Chemistry, Condensed Matter Physics, a related field, or equivalent practical experience. , DFT and DFPT - Density Functional Perturbation Theory). , Python) for workflow management, data analysis, and tool automation.

SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality. We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world.

he Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else.

Are you keen to use your quantitative skills in tackling practical problems to improve our environment? BioSS (Biomathematics and Statistics Scotland) is looking for an innovative and motivated early-career statistician or data scientist to join our growing social sciences team.

SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality. We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world.