26 to 28 of 28 Data Scientist Jobs in the City of London

Data Scientist

Hiring Organisation
Stats Perform
Location
City, London, United Kingdom
Employment Type
Permanent
Salary
GBP Annual
Company description Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest ...

MMM, Python, PYMC Bayesian Data Scientist

Hiring Organisation
Ventula Consulting Limited
Location
City of London, London, United Kingdom
Employment Type
Contract
Contract Rate
£700 per day
LeadingpharmaceuticalclientnowrequiresaSeniorDataScientisttodrivemarketingeffectivenessviamarketingmixmodellingandothermodels. Thisrolewilloverseedatacollection,extraction,manipulation,analysisandvalidationensuringdataisreadyformodelling. YouwillworkcloselywiththeDataScienceteamtobuildbasemodelsaccordingtoprojectspecificationsandensuretherobustnessandvalidityofthosemodels. Requirements: Strongexperiencedevelopingandimplementingmarketingmixmodels. ExpertinPythonandpreviousexperiencewithRprogrammingandideallywithMMMmodels. StrongexperiencewithPymcisessential. ExperiencewithRegressionbasedmodelsinanMMMcontext. Strongunderstandingofstatisticalmodelling/MachineLearningtechniques. ExperiencewithprobabilisticprogrammingandBayesianmethods Goodworkingknowledgeofcloud-baseddatascienceframeworks. Thisisa6monthcontractpositionwhichprovidesadailyrateof£688(InsideIR35). Intermsofworkingstructure,thisroleishybridwithonedayperweekintheirLondonofficeandtherestremote. ...

Financial Crime Product - Data Scientists & Engineers

Hiring Organisation
Alexander Barnes
Location
City of London, London, United Kingdom
Financial Crime Product - Data Scientists & Engineers Alexander Barnes are partnered with a high-growth fintech building out its financial crime product capability across fraud, transaction monitoring, and screening. These roles sit within product and engineering, in the first line. You’ll either be defining how detection works, or building … doing Building and improving detection systems across fraud and AML (card, banking, TM, screening) Working directly with transaction, auth, behavioural, and network data to identify patterns and signals Developing detection logic across rules, models, and AI Tuning systems continuously. False positives, detection coverage, operational load, customer impact Designing features ...