7 of 7 Permanent Bayesian Methods Jobs in the UK excluding London

frameworks (TensorFlow, PyTorch, or Caffe). Strong mathematical and statistical skills. Broad knowledge of core data science techniques, such as: Supervised/unsupervised machine learning Cross-validation and Bayesian inference Time-series analysis and NLP SQL database querying and APIs for models Ability to innovate and develop new algorithms where needed. Leadership mindset - fostering technical growth, supporting More ❯

optimisation techniques * Excellent communication and collaboration skills * Problem-solving mindset and self-motivation Desirable Skills: * Master's degree in machine learning, mathematics, or statistics * Understanding of probabilistic and Bayesian modelling * Knowledge of software design principles and object-oriented programming * Experience with cloud platforms (Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) What you'll get More ❯

LeadingpharmaceuticalclientnowrequiresaSeniorDataScientisttodrivemarketingeffectivenessviamarketingmixmodellingandothermodels. Thisrolewilloverseedatacollection,extraction,manipulation,analysisandvalidationensuringdataisreadyformodelling. YouwillworkcloselywiththeDataScienceteamtobuildbasemodelsaccordingtoprojectspecificationsandensuretherobustnessandvalidityofthosemodels. Requirements: Strongexperiencedevelopingandimplementingmarketingmixmodels. ExpertinPythonandpreviousexperiencewithRprogrammingandideallywithMMMmodels. StrongexperiencewithPymcisessential. ExperiencewithRegressionbasedmodelsinanMMMcontext. Strongunderstandingofstatisticalmodelling/MachineLearningtechniques. ExperiencewithprobabilisticprogrammingandBayesianmethods Goodworkingknowledgeofcloud-baseddatascienceframeworks. Thisisa6monthcontractpositionwhichprovidesadailyrateof£688(InsideIR35). Intermsofworkingstructure,thisroleishybridwithonedayperweekintheirLondonofficeandtherestremote. More ❯

maintenance. The ideal candidate will be a good communicator and have a growth mindset with an enthusiasm for scientific discovery and strong interest in applying a combination of AI methods and mathematical models toward understanding mechanistic aspects of cellular processes with all experimental labs at Altos Labs. The ideal candidate is particularly interested in multi-scale (systems) biochemistry and … loop between experimental and theoretical work, at multiple scales, from molecules to cells, tissues and even whole organisms. Working at the interface between mathematical and computational models, and AI methods, with the aim of establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas such as Bayesian … Biology, Computational Biology, Computer Science, or closely related field with strong emphasis in biological modeling. Relevant industry and/or academic experience. Expertise and a track record of using methods from artificial intelligence for biological design. Record of applications of dynamical systems to problems of synthetic biology. Record of applications of data driven modeling methods and AI to More ❯

ALL the above requirements are met. What Will Make You Stand Out Advanced catastrophe modelling knowledge, especially in exposure/vulnerability domains Applied statistical skills in uncertainty quantification, Bayesian statistics, or Extreme Value Theory Machine learning experience related to climate risk or catastrophe modelling Experience with cloud platforms such as AWS or Google Cloud If you are … Risk Analyst, Loss Modeller, Statistical Modelling, Earth Observation, Python Programming, R Programming, Catastrophe Modelling, Hazard Modeller, Geospatial Data, Climate Data Science, Extreme Value Theory, Data Scientist, Machine Learning, Bayesian Statistics, Exposure Modelling, Vulnerability Analysis, Model Builder, Hybrid Working, Visa Sponsorship, Relocation Support, Climate Analytics, Financial Risk, Physical Risk, Research Scientist, Data Modelling More ❯

ALL the above requirements are met. What Will Make You Stand Out Advanced catastrophe modelling knowledge, especially in exposure/vulnerability domains Applied statistical skills in uncertainty quantification, Bayesian statistics, or Extreme Value Theory Machine learning experience related to climate risk or catastrophe modelling Experience with cloud platforms such as AWS or Google Cloud If you are … Risk Analyst, Loss Modeller, Statistical Modelling, Earth Observation, Python Programming, R Programming, Catastrophe Modelling, Hazard Modeller, Geospatial Data, Climate Data Science, Extreme Value Theory, Data Scientist, Machine Learning, Bayesian Statistics, Exposure Modelling, Vulnerability Analysis, Model Builder, Hybrid Working, Visa Sponsorship, Relocation Support, Climate Analytics, Financial Risk, Physical Risk, Research Scientist, Data Modelling More ❯

our services. Aid in business growth by engaging in client meetings, presentations, and proposals, highlighting the advantages and functionality of our technological offerings. Required Skills: Skilled in various modelling methods such as active learning, transfer learning, agent-based modelling, optimization, Bayesian inference, entity extraction/resolution, and spatio-temporal modelling. Proficient in developing models from fundamental More ❯