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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