Executive Facilities

Our award-winning global SaaS client is seeking an experienced, hands-on Senior Data Scientist covering International (UK and CA) run-the-business analytics and data science. You will be the sole senior owner, keeping revenue visibility, regulatory reporting, and the current model suite running. This role is a 6 Month contract, Hybrid working - potential to extend. You will work closely with product, marketing, engineering, business development, compliance, and member support. This role suits an operator who takes over existing BAU and runs it end to end with minimal hands-on support, staying reliable under real deadlines. Responsibilities Monitor the International revenue baseline across the UK and CA. Investigate anomalies and give early warning on revenue movement Support partner monitoring and escalations: new offer setup, lookalike and recommender admin, partner click-report fixes, and partner ranking changes Run email campaign and performance monitoring: anomaly investigation, re-targeting, send-failure triage, and churn-driver analysis Support experimentation and testing: experiment monitoring, reads, and promotion calls Represent analytics in forums and business reviews, and translate technical detail for business partners Maintain the current suite of production models: scheduled refreshes, retraining, and redeploys. Keep models healthy without rebuilding them Hand over models, pipelines, and reporting with monitoring and documentation to the permanent team at contract close Skills 5+ years of experience in data science and analytics, including running production models and BAU analytics Strong SQL and Python or R. Comfortable reading and maintaining an existing codebase and pipelines Hands-on experience maintaining production ML models: refresh, retrain, monitor, and troubleshoot, rather than building from scratch Working knowledge of Looker, Airflow and Google Cloud Advanced degree in a quantitative discipline (Computer Science, Mathematics, Statistics, Physics, or similar), or equivalent experience Benefits Hybrid working (3 days in the office) Award winning work environment Global Organisation Free breakfast

Our client, a leading global SaaS organisation is looking for a Senior Data Analyst to work on exciting AI/ML user experience projects for a 12 month contract. Hybrid with 3 days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow. Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality and robustness. Scope and plan work together with product engineering, data science and the business; support other teams for all tasks related to data tracking, collection, ingestion, quality monitoring and alerting. Experience 5+ years data analysis experience developing applications including Scala/Java and/or Python. Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of SQL and shell scripting; Experience with Docker/k8s and "infrastructure as a code" tools such as Terraform, Salt or similar. Confident at articulating complex technical content to peers and partners across the organization via Technical Design Documents. This is a great opportunity to further your experience across technologies such as Cloud Composer, Airflow, Dataflow, Spark, Terraform & Google Cloud Platform. Benefits Hybrid working Long contract Award winning work environment