1 to 25 of 36 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 ❯

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 ❯

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 ❯

a brief statement of interests and CV. Your skills and attributes for success: Degree in a relevant field (e.g. mathematics, data science, artificial intelligence, statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analyzing data, and building statistical or machine learning tools. 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 ❯

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 ❯

funding ends 30 th September 2027). Your skills and attributes for success: Degree in a relevant field (e.g. mathematics, data science, artificial intelligence, statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analyzing data, and building statistical or machine learning tools. 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 ❯

in data analysis, building analytical and/or machine learning models. Master's degree in fields that include strong coverage of applied mathematics and statistics, computer science, engineering, or related fields. Eight years of total experience including programming, testing and leadership. Equivalent combination of related education, training and experience may 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 ❯

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 ❯

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 ❯

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 ❯

scale computing resources to accelerate advances in the state of art. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree - PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building 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 ❯

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 ❯

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 ❯

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 ❯

Program edit checks for external data Coordinate communication and issues with Data Management regarding database specifications and data transfers Qualifications Bachelor's Degree in Statistics, maths, health informatics, data analytics, computer science, or life sciences field SAS Base Certification required Experience with CDISC SDTM conversion would be an advantage Excellent More ❯

the team's analytical capabilities. Write clear documentation on methodology, model interpretations, and implementation strategies. Qualifications: Bachelor's degree in Data Science, Computer Science, Statistics, or a related field; a Master's degree is preferred. Proven experience as a Data Scientist or in a similar analytical role. Strong programming skills … e.g., Pandas, NumPy). Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow) and data visualization tools (e.g., Tableau, Matplotlib). Solid understanding of statistics, probability, and data-driven decision-making. Experience working with databases (SQL) and data warehousing solutions. Strong problem-solving skills and ability to work collaboratively within More ❯