Observability Data Scientist

Skills

About the Role

You will transform hardware and infrastructure telemetry into predictions, insights, and automation. You will analyze time-series and large-scale telemetry data, build anomaly detection and forecasting models, shape feature pipelines and data quality, and turn observability signals into engineering decisions.

Requirements

• BSc MSc or PhD in Data Science Computer Science Statistics or a related field
• Strong experience analyzing time-series data and large-scale telemetry datasets
• Proficiency in Python including NumPy Pandas SciPy or machine-learning frameworks
• Experience with anomaly detection predictive modeling forecasting or signal-processing techniques
• Familiarity with observability stacks monitoring systems and time-series databases such as Prometheus or InfluxDB
• Clear communication skills

Responsibilities

• Analyze time-series data and large-scale telemetry datasets
• Build anomaly detection predictive modeling forecasting and signal-processing solutions
• Use Python and relevant scientific or machine-learning frameworks
• Work with observability stacks monitoring systems and time-series databases
• Shape data quality feature pipelines and analytics foundations
• Turn telemetry insights into engineering action

Benefits

• Flexible working
• Comprehensive healthcare and dental cover
• Premium medical and dental insurance with family extension option
• Phantom equity
• Fully funded Medicover gym card
• Death and disability insurance
• 4% employer retirement contribution
• Employee Assistance Programme