10 of 10 Statistical Computing Jobs in the UK

scalable and secure infrastructure across Azure, on-prem, and possibly other cloud platforms. Architect and guide the setup/configuration of HPC clusters (eg, SLURM) to support large-scale statistical workloads. Design and support environments for Python, R, and SAS that meet compliance, reproducibility, and performance standards. Implement security, access control, and compliance practices (especially relevant in life sciences … for performance-heavy workloads. Strong Python knowledge with experience in installation, configuration, and Scripting in Linux environments. Experience working with R and Python environments, particularly in scientific or analytical computing contexts. Familiarity with SAS basics, especially how it fits into clinical/statistical computing workflows. Salary: £575 per day More ❯

Are you looking for real world Supply Chain challenges? Do you have a desire to make a major contribution to the future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated, analytical and detail oriented candidate to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain … experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. … or MBA from premier business schools. - 4+ years' experience in Supply Chain Analytics, Data Science or related specialty. - Experience with AWS technologies like Redshift, S3, Lambda, Glue. - Experience in statistical computing using Python/R. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation More ❯

methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings. Experience in ML/Computational Statistics/Modelling use-cases in industrial settings (for example supply chain optimisation or manufacturing processes) is encouraged A track record of scoping and delivering projects in a customer facing … and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Strong problem-solving skills and the ability to analyse issues More ❯

Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities. Job Family Group: Decision Management Job Family: Specialized Analytics (Data Science/Computational Statistics) Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi More ❯

to 5 years’ experience in software 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 communication skills both written More ❯

degree in the field of Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas. Research publications reflecting experience in theoretical or empirical research. Experience in developing and debugging in Python or similar programming languages. Experience in analyzing and More ❯

BI and visualization tools at least one of but not limited to: QlikView, DOMO, Tableau, Power-Bi. Advanced Microsoft Office skills required, especially Excel and PowerPoint Data Modelling other Statistical computing techniques are a plus. Agility - must thrive in a fluid and changing environment Ability to handle multiple projects in a fast-paced work environment Effective communication and More ❯

BI and visualization tools at least one of but not limited to: QlikView, DOMO, Tableau, Power-Bi. Advanced Microsoft Office skills required, especially Excel and PowerPoint Data Modelling other Statistical computing techniques are a plus. Agility – must thrive in a fluid and changing environment Ability to handle multiple projects in a fast-paced work environment Effective communication and More ❯

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 areas … will have a strong track record of research in applied statistics, actuarial or statistical data science which includes fields such as Bayesian statistics, statistical learning, actuarial statistics, computational statistics and statistical methodology. You will either be established or have the potential to establish yourself as an international research leader, with strong postdoctoral research experience and the ambition … to build a world-class academic group. You will have the relevant experience to engage and innovate in our specialised actuarial, statistical, data science and financial teaching programmes. The School strongly encourages and supports the generation of industry impact from research, and we welcome candidates with experience of statistical work with industrial partners or working with the actuarial More ❯

on machine learning applications for public policy and global health. This position is funded by EPSRC. For more details, see this link . The role involves leading research in computational statistics and machine learning, with the goal of making a tangible impact by collaborating with governments, NGOs, and international organizations. Recent publications from the group include: List of publications or More ❯