London, England, United Kingdom Hybrid / WFH Options
Luupli
to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns More ❯
London, England, United Kingdom Hybrid / WFH Options
Opensignal
creating insightful analysis and charts communicated using Python or R notebooks. Knowledgeable on quantitative analysis techniques, e.g., descriptive and inferential statistics, parametric and non-parametric statistics, regression, clustering and pattern recognition. Competence in Data Science reproducibility best practices. Nice To Haves Ideally experience in continuous integration and the full Data Science pipeline. Ideally experience with basic software tools and More ❯
London, England, United Kingdom Hybrid / WFH Options
KDR Talent Solutions
across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, patternrecognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Exposure to Marketing Data More ❯
across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, patternrecognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Desirable: Exposure to Marketing More ❯
City of London, London, United Kingdom Hybrid / WFH Options
KDR Talent Solutions
across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, patternrecognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Desirable: Exposure to Marketing More ❯
teams to contain and mitigate threats. This role is part of a large global team which operates follow-the-sun. This role requires a 4-on, 4-off shift pattern (08:00 - 20:00, 12-hour shifts) and a hybrid work arrangement-three days on-site and one day remote per week. To be successful as a Senior Cyber … technologies including Splunk * Proactively search for potential threats using behavioural analytics, network traffic analysis, and threat intelligence. * Incident response skills, including proficiency in PCAP capture, network analysis, and traffic pattern recognition. * Knowledge of attack techniques (MITRE ATT&CK framework, malware analysis, and intrusion detection). * Proficiency in analyzing network traffic (PCAP), endpoint logs, IDS/IPS alerts, and security More ❯
London, England, United Kingdom Hybrid / WFH Options
Constructor
and handoffs to ensure smooth execution and reduce duplicated work or team dependencies. Facilitate regular meetings and communication channels to ensure all stakeholders are informed and aligned. Continuous Improvement & PatternRecognition: Proactively identify patterns, trends, and common challenges in customer integrations to inform process improvements and potential product enhancements. Establish metrics and reporting to track the effectiveness of More ❯