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Salary: PLN 350,700 - 474,400 / annual
Graphcore is seeking a Data Scientist to transform infrastructure telemetry into predictive intelligence for AI compute systems. You will work across data centre, system, and silicon telemetry—from clusters and networking to power, thermals, and error signals—to detect anomalies, forecast failures, and optimize system behavior.
Your core responsibilities include:
- Analyzing time-series data and large-scale telemetry datasets from hardware and infrastructure systems
- Building anomaly detection, predictive modeling, and forecasting models to predict issues before they disrupt AI compute
- Partnering with telemetry platform engineers to shape data quality, feature pipelines, and analytics foundations
- Turning observability systems into data-driven control loops that guide engineering decisions
- Communicating complex insights to hardware, software, and platform engineers in actionable terms
You will work with a team of telemetry, platform, hardware, and software engineers solving problems across the full compute stack. The culture emphasizes ownership, evidence-based decision-making, and moving quickly from signal to action. You will be expected to define patterns, challenge assumptions, and take responsibility for outcomes.
Required qualifications:
- BSc, MSc, or PhD in Data Science, Computer Science, Statistics, or related field
- Strong experience analyzing time-series data and large-scale telemetry datasets
- Proficiency in Python (NumPy, Pandas, SciPy, or ML frameworks)
- Experience with anomaly detection, predictive modeling, forecasting, or signal processing
- Familiarity with observability stacks, monitoring systems, and time-series databases (Prometheus, InfluxDB)
- Clear communication skills to translate data insights into engineering action
This is a rare opportunity to apply data science close to the hardware and help build more reliable, efficient, and intelligent AI infrastructure.
