Data Scientist

Infinitesima; Abingdon; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Annual bonus

Death in service 3x salary

Private health care (BUPA)

EMI Share scheme

Job summary

Infinitesima in Abingdon, UK is seeking a Data Scientist to join our new Data Science team within the Technology department. You will generate and curate data, develop and test algorithms, and benchmark them against instrument capabilities.

When a method proves itself, you will hand it over to the Data Analysis team to become robust product software. You will work with real wafer data from Applications Development and proof-of-concept data from R&D, in an AI-first environment.

Qualifications

• Degree in a relevant field or 2 years’ experience in data science or quantitative research
• Strong data science background with instrument data experience
• Experience with Python data analysis and ML approaches

Responsibilities

• Generate synthetic data and maintain data libraries
• Analyze instrument data to quantify noise and information limit
• Develop and test new algorithms and analysis methods (e.g., PCA, ML) on real and synthetic data
• Benchmark methods against the information limit and gauge R&R contributors
• Write clean, reproducible prototype code with test data and results
• Use AI tools daily to code, explore, analyse and report results to the team

Skills

Python data analysis

AI tools usage

Image processing

Statistics for data

Machine learning

Reproducible code

Communication

Curious adaptable

Explain results

Education

Degree in Physics/Data Science/Applied Math/Engineering

Tools

Git

C#

AI workflows

Job description

Data Scientist | Semiconductor Metrology
Abingdon, UK

Reward and Benefits

• 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

Skills and experience we’re looking for:

• 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:

Infinitesima is a privately owned company founded in 2001, as a spin-out of the University of Bristol, by CTO Professor Andrew Humphris. 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 AIonlyto transcribe our interviews so we can focus fully on you instead of scribbling notes. The AI doesnottake part in any decision making at any stage. All hiring decisions are made by real humans based on the conversation we have with you.

Location and working pattern:
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

Regretfully, we very rarely sponsor VISA's due to the length of time and cost of sponsorship per application.