Data Scientist - Monitoring & Alerting Infrastructure

Our client is looking for a Data Scientist to help build and mature our monitoring and alerting infrastructure, centralising current 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.

The Role:

As a Data Scientist in this role, you will lead the design, development, and deployment of systems that monitor the health and integrity of our data. You will work with stakeholders across technical and non-technical teams to scope requirements, define metrics, and ensure anomalies are identified, understood, and resolved quickly and reliably. This is a hands-on role that requires both analytical thinking and strong engineering practices.

You will take full ownership of projects - from discovering and defining problems, cleaning and preparing data in the warehouse, developing and testing models and logic, and deploying solutions into production environments.

Requirements
Key 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.
• Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety.

About You:

Here’s what we’re looking for:

• 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: Enjoy 25 days of paid holiday, plus bank holidays. After two years with us, you can also buy or sell up to 5 days of annual leave.
• Peace of Mind: Life assurance and a workplace pension with employer contributions.
• Reward for Performance: Bonus scheme that recognizes your hard work and contributions.
• Cycle to Work Scheme: For the cyclists among us, we've got you covered.
• Gear You’ll Love: Choose the tech that works for you, we'll try and source it!
• Learning & Growth: Benefit from one-to-one coaching, a budget for training programs, and all the support you need to keep growing.
• Giving Back: Join us in supporting local charities and making a positive impact.

Hybrid Working:

We know work-life balance matters, so we’ve embraced a flexible hybrid working model:
• Our Manchester office offers an inspiring, collaborative space to work alongside your colleagues.
• Free parking and secure bike shed. Excellent public transport links.
• Split your time between the office and home, with full equipment provided for home working (desk, screen, chair).
• Receive £100 annually to personalise your home workspace.
• Flexible start and finish times to suit your personal circumstances