1 to 25 of 43 Permanent Statistics Jobs in Scotland

Assistant Professor in Applied Statistics or Actuarial Data Science Job Description Directorate: School of Mathematical and Computer Sciences Contract Type: Full Time (1FTE), Open Ended Rewards and Benefits: 33 days annual leave, plus 9 buildings closed days for all full-time staff (Part time workers should pro rata this by … their FTE). Detailed Description The Department of Actuarial Mathematics and Statistics at Heriot-Watt University, Edinburgh, is seeking to enhance and expand its strengths in research and teaching in statistics by appointing two Assistant Professors in Applied Statistics or Actuarial Data Science. These are both open-ended positions. Applicants … are invited from any area of applied statistics, including statistical or actuarial data science. Those working in actuarial science, Bayesian statistics, statistical learning and/or actuarial statistics are particularly welcome to apply. Candidates who would like to work with the University's multi-disciplinary Global Research Institutes in the More ❯

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 ❯

or Perl. Experience with neural deep learning methods and machine learning. Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field. PhD in a related field preferred. 15+ years of relevant, broad research experience. Deep expertise in Machine Learning and proficiency More ❯

recommendations. Data Management: Ensure the accuracy, integrity, and security of data used for analysis and reporting. Your Profile Bachelor's degree in Data Analytics, Statistics, Finance, or a related field. Advanced degree preferred. Proven experience in the financial crimes/AML space, with a minimum of 3-5 years in More ❯

groups. Required qualifications, capabilities, and skills Proven experience post-advanced degree (MS, PhD) in a quantitative field (e.g., Data Science, Computer Science, Applied Mathematics, Statistics, Econometrics). Experience in statistical inference and experimental design (such as probability, linear algebra, calculus). Data wrangling: understanding complex datasets, cleaning, reshaping, and joining More ❯

If you possess a combination of some of the following skills then, LETS TALK! Bachelors degree, PhD or Masters in Data Science, Computing, Mathematics, Statistics or related field. Previous commercial experience in Data Science. Proficiency in Python and strong command of SQL. Familiar with Git for version control. Knowledge of More ❯

and drive their implementation. Ability to successfully build relationships with clients and stakeholders. Mastery of problem solving and solutioning. Proven history and background in statistics/mathematics/macroeconomics. What's in it for you: Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire More ❯

problems into data, model and decisioning ecosystems, articulating clearly to business leaders how these assets fit together and address their problem. Advanced knowledge of Statistics (including design and analysis of experiments, uncertainty quantification, range of predictive modelling methods). Advanced knowledge of ML techniques (in both a supervised and unsupervised More ❯

language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. More ❯

of a data science-related body. Key Technical Skills Ability to abstract complex business problems into data, model, and decisioning ecosystems. Advanced knowledge of Statistics and ML techniques. Proficient in a range of programming languages (Python and/or R preferable, SQL, C#, Java). Solid grasp of popular and More ❯

years' experience in quantitative analysis, within a gaming, entertainment, or digital consumer products organization 5+ years' experience managing people, growing skillsets & coaching Degree in Statistics, Mathematics, Economics, related discipline or equivalent work experience Experience Delivering & coaching analytical presentations to large groups & senior management Be product focused, you will be expected More ❯

or capital markets. You have a flair for breaking down problems into logical parts and constructing clear reasoning and analyses, using quantitative analysis methods, statistics & data-driven thinking. You have energy and drive, a passion for continuous learning and mastering new topics, and an understanding of how forces like digital More ❯

t have it all covered - we want to speak to a broad range to assess the best fit: AI Stack: Python, SQL, mathematics and statistics essential Generative AI & LLMs: Designing and fine‑tuning foundation‑model solutions; RAG patterns; prompt‑engineering & evaluation MLOps/LLMOps: CI/CD for models, feature 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 ❯

and root cause analysis to drive continuous improvement. What we expect from you: Bachelor’s degree in Business Administration, Data Science, Information Systems, Marketing, Statistics, or a related field. Proven experience in data analysis, customer experience, or business intelligence roles. Strong analytical skills with the ability to interpret complex data More ❯

strategies. Support the deployment of these systems with data architecture, data cleansing, and migration expertise. Qualifications: Bachelor's degree in Data Science, Information Technology, Statistics, or a related field. Proven experience in data management, reporting, and analysis. Strong analytical and problem-solving skills. Some experience or exposure to MS Fabric More ❯

development ideally using C++ but will consider other languages (C#, Python, Embedded C etc) Image Processing/Analysis Computer vision Data analytics and computational statistics Knowledge of similar data analysis/visualisation tools will be considered Machine Learning Artificial Intelligence Signal processing/analysis Good methodical problem-solving skills Strong More ❯

development ideally using C++ but will consider other languages (C#, Python, Embedded C etc) Image Processing/Analysis Computer vision Data analytics and computational statistics Knowledge of similar data analysis/visualisation tools will be considered Machine Learning Artificial Intelligence Signal processing/analysis Good methodical problem-solving skills Strong More ❯

scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience with conducting research in a corporate setting - Experience in patents or publications at top-tier peer-reviewed More ❯

communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization PREFERRED QUALIFICATIONS - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms for business application - Experience with deep learning libraries such as More ❯

Extensive model development or validation experience in a markets business An advanced degree such as a Master's or PhD in Quantitative Finance, Mathematics, Statistics, or a related field The ability to code in Python or a proven record of coding in other languages Knowledge of key model risk regulation More ❯

applications on your academic performance alone. You will, however, need to be working towards an honours degree in a numerically-based subject like Maths, Statistics, Actuarial Science, Physics, Chemistry, Biology, Data Science or Computer Science, have a minimum of grade 4/C GCSE (or equivalent) in English Language and More ❯

You’ll alsohave: Extensivemodel development or validation experience in a marketsbusiness An advanced degree such as a Master'sor PhD in Quantitative Finance, Mathematics, Statistics, or arelated field The ability to code in Python ora proven record of coding in otherlanguages Knowledge of key model riskregulation such as SS1/ More ❯

could still be a perfect fit for this role. Please apply; all applications will be considered. Relevant tertiary qualifications in Information Technology, Computer Science, Statistics, or a related field. Extensive experience in leading cloud-based data management, integration, and AI-driven analytics teams. Strong understanding of event-driven architecture and More ❯

Credit Risk Modelling techniques for PD/LGD/EAD (IFRS9/Stress Testing/IRB) A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) A solid foundation in statistical programming languages and data querying (SAS/SQL/Python/R). It’s a bonus More ❯