Senior Data Scientist - Machine Learning/AWS - Manchester

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.

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.

Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: Information Services

Mayflower is acting as an Employment Agency in relation to this vacancy.