Data Scientist

Description

Data Scientist | Semiconductor Metrology

Abingdon, UK

Reward and Benefits

£42,000 - £55,000 (depending on experience)

Annual bonus, 3x salary death in service benefit and private health care BUPA, EMI Share scheme.

If you are a Data Scientist who enjoys turning instrument data into proof of what is possible, why not join us in Abingdon, Oxfordshire, and help prove the analysis methods behind advanced semiconductor metrology systems.

We are looking for an ambitious and adaptable Data Scientist to join our new Data Science team in the Technology department, reporting to the Data Science Lead and working closely with our Modelling Scientist. You will generate and curate data, develop and test new algorithms, and benchmark them against what the instrument can physically deliver. When a method proves itself, you will package it for the Data Analysis team in Engineering, who turn it into robust product software. You will work with real customer use cases and wafer data from Applications Development, and proof-of-concept data from R&D.

We are an AI-first team, so you will use AI tools every day, while checking carefully what they produce. If your passion is speed, evidence and finding out what the data can really tell you, we’d love to hear from you.

What you’ll be doing

Generate synthetic data, and build and maintain the demo and performance data libraries

Analyse instrument data to quantify noise and limitations, and help establish the information limit, meaning what is physically extractable from the instrument

Develop and test new algorithms and analysis methods (for example PCA, percentile methods and machine learning) on real and synthetic data

Benchmark methods against the information limit: achievable performance, measurement uncertainty, gauge R&R and drift contributors

Write clean, reproducible prototype code with test data and expected performance, ready to hand over to Data Analysis, and build analysis tools used across the Technology department

Use AI tools every day to code, explore, analyse and report faster, verify what they produce, and present your results to the team

Education and experience

Degree or above in Physics, Data Science, Applied Mathematics, Engineering or a similar subject, or [2] years’ relevant experience in data science or quantitative research

Requirements

• Data analysis in Python (NumPy, SciPy, pandas, scikit-learn or similar)
• Heavy, day-to-day use of AI tools in your technical work, such as coding assistants and LLMs, with the judgement to verify their outputs
• Image or signal processing, ideally on data from scientific instruments
• Statistics applied to measurement data: uncertainty, repeatability, noise and drift
• Machine learning methods, and how to validate them properly
• Clear, reproducible code and reports
• Explaining results to technical and non-technical colleagues
• Curious and adaptable, happy to work quickly and test ideas against the evidence
• We’d love to see:
• Atomic Force Microscopy or other nano-characterisation (SEM, FIB, profilometry), or semiconductor metrology
• Physics-based modelling or simulation
• Version control (Git) and C, and experience building agentic or AI-assisted analysis workflows
• A bit about us:
• Our dynamic team of scientists and engineers is focussed on enabling the next generation of semiconductor devices through delivery of innovative products to customers around the world.
• Our strength lies in the varied perspectives that come from different cultures, experiences, and identities. We believe that true innovation is fuelled by collaboration, locally and globally. We strive to foster an environment where everyone can contribute meaningfully and thrive. If you require adjustments to take part in the recruitment process, please let us know, we’ll do our best to support you.
• Your recruitment journey:
• We will interview you: Monday to Friday UK Time 9am to 4.30pm and we'll be as flexible as we can with Global Scheduling
• 1st stage: (45 minute) Remote meeting to evaluate your experience and technical ability
• 2nd stage: (2.5 hours) Face to face onsite evaluating technical, presentation and communication skills along with your ways of working and your opportunity to to know more about us
• If you're not comfortable with eye contact, let us know at the start of your interview and if REMOTE, once we've said hello, feel free to turn your camera off until the end.
• We dress casually so informal attire is absolutely fine for onsite interviews. We want you to feel comfortable when you meet us and if there's anything else we can do to support your journey, just let us know.
• A note on how we use AI:
• We use AI only to transcribe our interviews so we can focus fully on you instead of scribbling notes. The AI does not take part in any decision making at any stage. All hiring decisions are made by real humans based on the conversation we have with you.

Conditions

We recognise the value of flexibility and offer a hybrid working model wherever possible. Most employees work onsite three days per week, although some positions require a greater onsite presence due to the nature of the work and business need

Recruitment agencies: the company Ltd only works with approved agencies and does not accept unsolicited agency CVs. Please do not submit candidate details in response to this advert or solicit any the company Ltd employees. The company Ltd is not responsible for any fees related to unsolicited CVs.