12 of 12 Remote Statistics Jobs in Edinburgh

strategies to improve business performance. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as More ❯

This is a fixed-term contract for 24 months, ending 30 September 2027. Skills and Attributes for Success Degree in mathematics, data science, AI, statistics, biomedical or biological sciences. Experience in data science roles, managing and analyzing data, and developing ML tools. Leadership experience in managing research projects and teams. More ❯

New York, Palo Alto, Edinburgh, Atlanta and Seattle. The team has several Stanford professors as senior advisors with world-class expertise in machine learning, statistics, optimization and stochastic control. These advisors include AI Labs co-head Stephen Boyd (Samsung Professor of Engineering at Stanford), Emmanuel Candes, Trevor Hastie, and Mykel More ❯

by AI models for correctness and performance Qualifications: * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning * A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

correctness and performance br Qualifications: br Fluency in English (native or bilingual level) br Detail-oriented br Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning br A current, in progress, or completed Masters and/or PhD is preferred but not required br Note: Payment More ❯

by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

AI models for correctness and performance Qualifications: * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in mathematics, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning * A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

and performance br Qualifications: br Fluency in English (native or bilingual level) br Detail-oriented br Proficient in mathematics, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning br A current, in progress, or completed Masters and/or PhD is preferred but not required br Note: Payment More ❯

to implement solutions to sophisticated problems Required Skills and Qualifications: Bachelor's degree in Electrical Engineering or related field Possess a basic understanding of statistics and data analysis Familiarity with datasheets Knowledge of hardware design basics Experience with scripting languages such as Python, Visual Basic (VBT), or JSL Experience with More ❯

as dev, architecture, and DevOps. Working with Agile delivery teams to ensure automation test goals, objectives, and expectations are effectively met. Defining and providing statistics to measure team performance, quality and success achieved as a result of automation. Working with QA Principals ensuring QA standards, policies and priorities are in More ❯

Please enter your search criteria below and select Find jobs. location_on Location Scottish Parliament (Edinburgh) location_on Location Scottish Parliament (Edinburgh) location_on Location Scottish Parliament (Edinburgh) work_outline Basis Full Time Job profile for Parliamentary Assistant for Sarah More ❯

delivery teams to ensure automation testing goals, objectives, and expectations are effectively met in line with the Craneware Application Lifecycle Management (CALM) methodology. Providing statistics to measure quality and success achieved as a result of automation. Recording technical nonfunctional requirements with the architecture team and developing and running tests round … delivery teams to ensure automation testing goals, objectives, and expectations are effectively met in line with the Craneware Application Lifecycle Management (CALM) methodology. Providing statistics to measure quality and success achieved as a result of automation. Recording technical nonfunctional requirements with the architecture team and developing and running tests round More ❯