126 to 133 of 133 Feature Engineering Jobs in England

solution t esting the outputs by querying the data whilst identifying questions to further clarify. Applicants must be experts in SQL and SQL feature engineering on Google Cloud Platform (GCP)/Household 360, with familiarity in windowed functions, nested queries, query optimisation and complex ETL/ELT patterns. ...

experienced researchers who are committed to teaching, guiding, and supporting new hires, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. #J-18808-Ljbffr ...

platform underpinning systematic investment strategies, working with Quant Researchers, PMs and Strategists. You will design and enhance the trading platform, develop back-testing and feature engineering tooling, build market data infrastructure for real-time and historical tick data, and productionise #J-18808-Ljbffr ...

looking for an experienced Data Scientist with strong Machine Learning, Google Cloud Platform (GCP), Python and data engineering expertise to support the optimisation of fraud models and ML infrastructure. Contract information Job title: Data Scientist Location: 3 days in Sheffield and 2 days remote Contract type: Inside IR35 … inference costs. Produce practical, implementation-ready recommendations, including estimated effort, cost savings and technical impact. Provide both configuration-level and code-level guidance to engineering and data science teams. Analyse and optimise GCP compute, storage and networking, balancing cost, performance and reliability. Implement and improve monitoring and observability across ...

that protect millions of customers and merchants across our platform. This is a high-impact role at the intersection of machine learning, product, and engineering, where your work will directly shape how Moniepoint detects and responds to emerging fraud threats. You are a data-driven, intellectually curious Data Scientist … translate model outputs into real-world mitigations. Experience & Background: A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar). 3+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime. Hands ...

audiences with different backgroundsCreate and maintain post-trade diagnostics tools across various strategiesQualifications:A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related fieldExperience using AI and LLM’sPassion and interest for a quant researcher role solving real-world business problemsMinimum … years' experience in alpha generating roleExperience working with large datasets, data cleaning, preprocessing, and feature engineeringExperience building, validating, deploying, monitoring, and updating predictive modelsExcellent programming and scripting skillsExperience working independently and delivering resultsExcellent written and oral communication skills, experience communicating complex ideas clearly and concisely to peers and stakeholdersStrong ...

exceptional owner experiences. Working within our AI Operating Model, you'll collaborate with lean cross-functional pods across discovery and delivery, partnering with Product, Engineering, Data Science, Customer Success and Commercial teams. This role carries full accountability for product direction, commercial performance and the value delivered to owners. What … experience KPIs. Improve how services are delivered across Forge platforms and integrations. Use experimentation, analytics and owner feedback to drive product decisions. Partner with Engineering, AI and Data Science teams to deliver intelligent owner solutions. Act as the strategic link between Product, Commercial, Customer Success, Operations and Technology teams. ...

llgain a better understanding of the diverse arrayof challenges we consider every day, learning howwe think about experiment design, datasetgeneration, time series analysis, featureengineering, and model building for financialdatasets. Your day-to-day project work will becomplemented by classes on the broaderfundamentals of markets and trading, lunchseminars, and activities designed … readabout our interview process, meet some of theteam, and learn more about Jane Street'sinternship program on our website. Computer Science, Data, AI,Engineering & Technology,Life and Health Sciences, Medicine,Natural Sciences & Mathematics #J-18808-Ljbffr ...