Observability, Data Scientist

Posted An Hour Ago
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Gdańsk, Województwo pomorskie, POL
Hybrid
351K-474K Annually
Entry level
Artificial Intelligence • Semiconductor
Joining Graphcore gives you a seat at the top-table, shaping the future of Artificial Intelligence.
The Role
Analyze data center, system, and silicon telemetry to detect anomalies, forecast failures, and optimize AI infrastructure. Build predictive models, feature pipelines, and analytics foundations using time-series and large-scale telemetry data. Partner with platform, hardware, and software engineers to improve observability, data quality, system reliability, and automated engineering decisions.
Summary Generated by Built In

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. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate.

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 family across a range of personal, financial and wellbeing matters

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.

We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you.

Sponsorship
Applicants must have the legal right to work in Poland. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role.

Join the Team at Graphcore

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

If you want to turn complex telemetry into intelligence that strengthens AI compute, we’d love to hear from you. Apply now to be part of the journey.

Skills Required

  • 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 and ability to turn data insights into engineering action

What the Team is Saying

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Graphcore Compensation & Benefits Highlights

  • Healthcare Strength Private medical insurance, comprehensive dental/vision, a health cash plan, and mental wellbeing support are listed as standard, with day-one coverage and Spring Health/EAP support noted for the U.S. Life assurance and income protection add further protection for serious illness or injury.
  • Leave & Time Off Breadth Flexible working hours and “unlimited annual leave” are explicitly stated. U.S. materials also note flexible PTO and 11 paid holidays.
  • Retirement Support Retirement programs include a U.K. pension match up to 5% and a U.S. 401(k) with a 100% company match up to 6% (with a year-end true-up). These provisions signal a meaningful employer contribution toward long-term savings.

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The Company
HQ: Bristol
903 Employees
Year Founded: 2016

What We Do

At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Why Work With Us

Our team is at the forefront of the machine intelligence revolution, enabling innovators from all industries to build AI-native products to expand human potential. What we do at Graphcore really makes a difference.

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Graphcore Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

At Graphcore, we value wellbeing and flexibility to support a healthy work/life balance. Our hybrid approach encourages office-based colleagues to work onsite three days a week, with trusted flexibility built on trust and transparency for everyone.

Typical time on-site: 3 days a week
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