Data Scientist – Monitoring & Alerting Infrastructure

Overview

Data Scientist – Monitoring & Alerting Infrastructure: Our client is looking for a Data Scientist to help build and mature monitoring and alerting infrastructure, centralising efforts and enabling scalable, standardised approaches across multiple projects. This is a pivotal role for someone who thrives in autonomous environments and enjoys owning solutions from concept to deployment.

Responsibilities

• 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.




• Deploy monitoring tools and models using AWS infrastructure.




• Create scalable frameworks for future monitoring requirements across products and teams.




• Investigate and troubleshoot anomalies in the data pipeline.




• Promote data quality and monitoring best practices across the business.




• Mentor junior team members and contribute to a culture of curiosity, rigour, and innovation.




• Adhere to Company Policies and Procedures with respect to Security, Quality and Health & Safety.

About You / Qualifications

• Proficiency in Python and SQL for analysis, model development, and data interrogation.




• Experience in handling large datasets with PySpark and managing distributed data processing.




• 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.

Benefits

• Generous Time Off: 25 days of paid holiday, plus bank holidays. After two years, you can buy or sell up to 5 days of annual leave.




• Life assurance and a workplace pension with employer contributions.




• Bonus scheme that recognizes your hard work and contributions.




• Cycle to Work Scheme.




• Choice of equipment to suit you.




• Learning & Growth: coaching, training budget, and support for ongoing development.




• Giving Back: opportunities to support local charities.

Working Pattern

• Hybrid working model with a Manchester office: office space, free parking, secure bike shed, good public transport links.




• Split time between office and home with full equipment provided for home working (desk, screen, chair).




• £100 annually to personalise your home workspace.




• Flexible start and finish times.

Additional Details

• Seniority level: Mid-Senior level




• Employment type: Full-time




• Job function: Engineering and Information Technology




• Industries: Technology, Information and Internet

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