Top Data Science Jobs in Edinburgh

As a Data Scientist in the R&D team, you will develop analytical solutions for complex problems using machine learning and data-driven insights, manage data collection and preparation, optimize models, and collaborate with cross-functional teams to integrate solutions into products. You will also stay current with advancements in data science and contribute to innovative project development.

As a Data Scientist in our R&D team, you will develop analytical solutions for complex problems, focusing on machine learning, data modeling, and automation. Your responsibilities include data management, model development, process automation, and collaboration with cross-functional teams. You will also conduct experiments and apply data science techniques to drive innovation.

As a Data Scientist in the R&D team, you will analyze business problems, develop and validate machine learning models, and automate processes. You'll collaborate with cross-functional teams to provide data-driven insights and support innovative product development while staying updated with the latest advancements in data science and AI.

As a Data Scientist, you will develop analytical solutions for complex problems, focusing on machine learning, predictive modeling, and data analysis. You'll manage data collection, validation, and reporting, while collaborating with product managers and the R&D team to innovate and improve products. Your role will emphasize automation, AI models, and continuous learning in a dynamic environment.

As a Data Scientist in our R&D team, you will develop analytical solutions, optimize machine learning models, and collaborate with cross-functional teams to derive insights from complex data. You will manage data processing, build predictive models, and automate processes while staying abreast of innovations in data science and AI.

As a Data Scientist in the R&D team, you will develop analytical solutions, work on predictive modeling and machine learning, manage data collection and cleaning, create machine learning models, prepare analytical reports, and collaborate with product managers and engineers to align solutions with business goals.

As a Data Scientist in the R&D team, you will develop analytical solutions for complex issues using machine learning and predictive modeling. Responsibilities include data management, model development, process automation, collaboration with cross-functional teams, and continuous learning in data science advancements.

As a Data Scientist on the R&D team, you will develop analytical solutions for complex problems using machine learning and predictive modeling. Responsibilities include data management, model development, automation of processes, and collaboration with cross-functional teams to align solutions with business goals.

As a Data Scientist, you will develop analytical solutions for complex problems using machine learning and data analysis techniques. Responsibilities include data management, model development, reporting, process automation, and collaboration with team members to innovate and optimize products through data-driven insights.

The Senior Full Stack Data Scientist will lead the development of demand forecasting algorithms for inventory decisions. This position involves collaboration with product managers and engineers to enhance forecast accuracy, while driving innovation in a machine-learning startup. Responsibilities include building and scaling machine learning pipelines and optimizing data models for performance and reliability.

As a Staff Data Scientist, you will lead the development of models and algorithms tailored to bioprocess data, involving dataset preparation and model selection. You will conduct hands-on research to push scientific boundaries, ensuring documentation and reproducibility in your work while delivering impactful models that enhance productivity for our clients.

In this role, the Data Scientist will develop analytical solutions for complex problems, focusing on machine learning and optimization. Responsibilities include data management, model development, and collaboration with cross-functional teams to implement data-driven solutions.

As a Data Scientist, you will develop analytical solutions for complex problems, create machine learning models, automate processes, and collaborate with cross-functional teams to align data-driven solutions with business goals. You will work in a dynamic R&D environment, exploring new research areas and applying innovative techniques to enhance product development.

The Sr Data Scientist at Marigold will collaborate with various teams to develop and deploy scalable data-driven solutions. This role involves the entire data science life cycle, including data management, model development, and analysis. The candidate will also address data quality issues and produce technical documentation, while exploring data for insights.

The Data Scientist will develop analytical solutions, design and validate machine learning models, manage data collection and processing, automate processes, and contribute to innovative product development within the R&D team.

As a Data Scientist, you will develop data science solutions and machine learning models, collaborating with teams to solve business challenges.

As a Data Scientist at Deel, you will solve real-world problems using Data Science and statistical techniques, build and maintain datasets, and implement machine learning and data pipelines. Collaboration with various teams is essential to deliver high-quality algorithmic solutions and produce reproducible research.