5 of 5 Contract Anomaly Detection Jobs in London

Contractor to deliver a proof of concept using static, structured datasets. This is a focused, pragmatic engagement centred on data preparation, feature engineering, and anomaly detection - with an emphasis on clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement.There … data expertise: joins, aggregations, data cleaning, handling missing data/outliers, basic data modelling concepts Feature engineering: ability to craft interpretable, business-relevant features Anomaly detection experience: practical knowledge of rule-based and statistical methods; ML-based approaches where appropriate Requirements & communication: ability to work with stakeholders ...

system instances Build transformation-heavy pipelines covering data profiling, cleansing, standardisation, conformance, and publishing Advanced SQL skills for data profiling, joins and merges, deduplication, anomaly detection, and performance tuning Strong scripting capability in Python for automation, parsing, rules engines, and data quality checks, with an emphasis ...

Define & Socialize plan of action to eliminate and control defects Enhance application logging standards across Guidewire services to achieve faster MTTR through proactive alerting & anomaly detection. Manage centralized monitoring & observability dashboards for Real Time health tracking. Experience Requisite Total Guidewire Experience: 8+ years ClaimCenter Experience: 5+ years Must ...

multiple source instances Expertise in data-transformation-heavy pipelines : profiling, cleansing, standardisation, conformance, and publishing Advanced SQL , including profiling, joins/merges, deduplication, anomaly detection, and performance tuning Python scripting for automation, parsing, rules engines, anddata-quality checks; ability to write maintainable code Experience with Python packages ...

Grafana skills: dashboards, alerting, synthetic monitoring, Loki logs, RUM tooling. Experience with APIs, automation, and integrations across Loki, Tempo, and OpenTelemetry. Desirable ML-assisted anomaly detection and advanced root-cause analysis across metrics/logs/traces. If this sounds like something you'd be interested ...