7 of 7 Permanent Statistical Computing Jobs in London

Title:Lead Statistical Programming Architect – Macro, Automation & AICompany:Ipsen Innovation (SAS)About Ipsen:Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs … society!For more information, visit us at and follow our latest news on LinkedInand Instagram.Job Description:WHAT - Summary & Purpose of the PositionThe Lead Statistical Programming Architect – Macro, Automation & AI role is responsible for making decisions and recommendations that impact efficiency, timeliness, and quality of deliverables from biometry. This role ...

Title:Lead Statistical Programming Architect – Macro, Automation & AI Company:Ipsen Innovation (SAS) About Ipsen: Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs … https://www.ipsen.com/and follow our latest news on LinkedIn and Instagram. Job Description: WHAT - Summary & Purpose of the Position The Lead Statistical Programming Architect – Macro, Automation & AI role is responsible for making decisions and recommendations that impact efficiency, timeliness, and quality of deliverables from biometry. This ...

sessions and activities, assessing feasibility and effort in porting existing SAS code to be executed in SLCReview existing and target IT infrastructure, ecosystems, and Statistical Computing Environments, providing architectural guidance for deploying SLCAid customers in porting their existing SAS language code to run in SLCScope and conduct successful … target architectures, where SAS language execution, code portability, performance, compatibility, and modernization are key decision factorsProvide subject matter expertise in the SAS language and statistical programming within the pharmaceutical industryCreate and conduct industry specific software demonstrationsOnboard and support service and technology partners in presenting SLC to the industryAuthor ...

activities, assessing feasibility and effort in porting existing SAS code to be executed in SLC Review existing and target IT infrastructure, ecosystems, and Statistical Computing Environments, providing architectural guidance for deploying SLC Aid customers in porting their existing SAS language code to run in SLC Scope and conduct … architectures, where SAS language execution, code portability, performance, compatibility, and modernization are key decision factors Provide subject matter expertise in the SAS language and statistical programming within the pharmaceutical industry Create and conduct industry specific software demonstrations Onboard and support service and technology partners in presenting ...

View Citi's EEO Policy Statement and the Know Your Rights poster. Job Family Group: Decision Management Job Family: Specialized Analytics (Data Science/Computational Statistics) Time Type: Full time #J-18808-Ljbffr ...

commercial intelligence that drives decision-making across a global client franchise.------------------------------------------------------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/ ...

understand the information provided from clients through their actions, the role might also include analysing betting patterns and market behaviour. This role combines rigorous statistical and mathematical modelling with production engineering. You will take models from research through to deployment, writing well-tested, documented code that integrates into … segmentation and profiling (ideally in context of a bookmaker) Experience with and/or knowledge of Bayesian models, state space models, filtering and smoothing, computational statistics and approximate inference methods Experience with and/or knowledge of machine and statistical learning, deep neural networks, feature engineering, reinforcement learning, dynamic ...