Data Scientist - Monitoring & Alerting Infrastructure

TieTalent; Manchester; Hybrid; GBP 45,000 - 65,000; Full time

Benefits offered by this job

25 days of paid holiday plus bank holidays

Life assurance and a workplace pension

Bonus scheme

Cycle to Work Scheme

Choice of equipment

Training budget and support for growth

Opportunities to support local charities

Job summary

A technology recruitment firm in Manchester is looking for a Data Scientist who will aid in building monitoring and alerting infrastructure. This mid-senior role involves designing systems for data reliability, collaborating on metrics, and mentoring junior staff. The firm offers flexible working conditions, generous leave, and professional growth opportunities.

Qualifications

• Knowledge of deploying models into production environments.
• Experience in managing distributed data processing.
• Able to define and deliver complex solutions independently.
• Attention to detail and willingness to learn.

Responsibilities

• Design and implement monitoring and alerting systems.
• Collaborate with teams to define metrics and KPIs.
• Build and productionise machine learning models.
• Deploy monitoring tools using AWS.
• Troubleshoot anomalies in data pipelines.
• Promote data quality best practices.
• Mentor junior team members.

Skills

Proficiency in Python

Proficiency in SQL

Experience with PySpark

Cloud infrastructure knowledge (AWS)

Problem-solving mindset

Ability to work with non-technical stakeholders

Experience with monitoring frameworks

Job description

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