Data Scientist - SearchWorks

Our client is an industry-leading market-research company that uses data-driven insights to provide unique and actionable data for some of the world's most recognised brands. Over the last 12 months they've experienced a period of rapid growth and they are positioned to continue this growth for the foreseeable future, so it's an ideal time to join the team.

They need a strong Data Scientist to design, develop and deploy systems to monitor data health.

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• Design and implement monitoring and alerting systems to ensure the reliability and accuracy of key datasets and processes.
  
• Collaborate with teams to define relevant metrics, thresholds, and KPIs.
  
• Build, maintain, and productionise machine learning and statistical models using Python and PySpark.
  
• Design and implement automation tools which can help dynamically adapt our products to external changes.
  
• Integrate LLM tooling into pipelines to aid with automation.
  
• Deploy monitoring tools and models using AWS infrastructure.
  
• Investigate and troubleshoot anomalies in the data pipeline.
  
• Promote data quality and monitoring best practices across the business.
  
• Contribute to a culture of curiosity, rigour, and innovation.
  
• Apply automation and AI-assisted tools where appropriate to improve delivery efficiency and the quality of analytical outputs.
  

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• Proficiency in Python and SQL for analysis, model development, and data interrogation.
  
• Comfortable deploying statistical or ML models into production environments.
  
• Strong understanding of cloud infrastructure, preferably AWS.
  
• A methodical, problem-solving mindset with high attention to detail.
  
• Able to scope, define, and deliver complex solutions independently.
  
• Comfortable working closely with non-technical stakeholders to define business-critical metrics.
  
• Self-motivated, accountable, and keen to continuously learn and grow.
  
• Previous experience building monitoring or data quality frameworks is highly desirable.