Observability, Data Scientist

EngineersOfAI; Województwo pomorskie; On-site; PLN 351,000 - 474,000; Full time

Benefits offered by this job

Flexible working

Comprehensive healthcare and dental

Phantom equity

Fitness and wellbeing support

Financial protection

Retirement savings

Employee Assistance Programme

Job summary

Graphcore is seeking a Data Scientist / Data Analyst to turn hardware and infrastructure telemetry into intelligence that predicts issues before they disrupt AI compute.

You will transform telemetry from clusters, networks, power, thermals and error signals into insights, forecasts and automated responses, and you will partner with telemetry platform engineers to shape data quality, feature pipelines and analytics foundations.

Qualifications

• Advanced degree in data science, CS or statistics.
• Experience analyzing time-series telemetry and large datasets.
• Proficiency in Python and ML frameworks.
• Experience with anomaly detection and forecasting techniques.
• Familiarity with observability stacks and time-series databases like Prometheus/InfluxDB.

Responsibilities

• Turn hardware and infrastructure telemetry into predictive insights.
• Develop models to detect anomalies and forecast failures.
• Collaborate with telemetry platform engineers to shape data quality and analytics foundations.
• Translate data insights into engineering actions and decisions.

Skills

Time-series analysis

Python (NumPy, Pandas, SciPy)

Anomaly detection

Forecasting

Clear communication

Education

BSc/MSc/PhD in Data Science/CS/Statistics

Tools

Prometheus

InfluxDB

Telemetry platforms

Job description

Salary Range: PLN 350,700 - 474,400 + Benefits + Equity

Subject to alignment to the responsibilities and duties of the role.

About the job

Turn Graphcore’s infrastructure telemetry into intelligence that predicts issues before they disrupt AI compute.

As a Data Scientist / Data Analyst, you will transform hardware and infrastructure signals into insight, prediction and automation.

You will work across data centre, system and silicon telemetry, from clusters and networking to power, thermals and error signals. Your models will help detect anomalies, forecast failures and optimise system behaviour.

You will partner with telemetry platform engineers to shape data quality, feature pipelines and analytics foundations. Your work will turn observability systems into data-driven control loops.

This is a rare chance to apply data science close to the hardware. You will help Graphcore build more reliable, efficient and intelligent AI infrastructure.

The team and culture

You will work with telemetry, platform, hardware and software engineers who are solving problems across the full compute stack. The team moves from signal to action quickly, using data to guide engineering decisions.

Ownership matters here. You will define patterns, challenge assumptions and turn complex telemetry into decisions engineers can trust.

Decisions are shaped by evidence, technical judgement and open debate. You will be expected to speak up, act fast and take responsibility for outcomes.

What we’re looking for

• BSc, MSc or PhD in Data Science, Computer Science, Statistics or a related field.
• Strong experience analysing time-series data and large-scale telemetry datasets.
• Proficiency in Python, including NumPy, Pandas, SciPy or machine learning frameworks.
• Experience with anomaly detection, predictive modelling, forecasting or signal processing techniques.
• Familiarity with observability stacks, monitoring systems and time-series databases such as Prometheus or InfluxDB.
• Clear communication skills, with the ability to turn data insights into engineering action.

While we have outlined a set of requirements, we value transferable skills and diverse experiences.

Benefits

• Flexible working:Balance your work and personal life with greater flexibility
• Comprehensive healthcare and dental cover:Premium medical and dental insurance, with the option to extend cover to your family
• Phantom equity:Share in Graphcore’s success
• Fitness and wellbeing support:A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres
• Financial protection:Death and disability insurance, providing financial security for you and your loved ones
• Retirement savings:Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions
• Employee Assistance Programme (EAP):Confidential advice and support for you and your