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Geodetic Data Scientist

Foundational

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What scientist roles keep asking for: Python (50%), Machine learning (39%), SQL (24%), C++ (17%), Java (16%), R (15%), Deep learning (14%), LLMs (14%) — counted across their open postings here.

Machine learning jobs · NumPy jobs · Python jobs · pandas jobs

Foundational has 25 open roles listed here.

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Questions you are likely to be asked

  1. Why do you want to join Foundational?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. What would you check first if a model's accuracy dropped after going live?
  4. When would you not use machine learning for a problem?
  5. Walk me through a model you built, from the data to how it was used.

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Geodetic Data Scientist This is a future role. We're building a shortlist now and will contact you when it opens. About us Foundational is building the most precise picture of Earth and orbit, using lasers fired from the ground. We call it ground truth for orbit. We design and run low-cost, autonomous satellite laser ranging stations. They measure the distance to satellites with extreme precision, day and night. Our data platform turns those measurements into tracking data and orbit products for satellite operators, space agencies and governments. We also build our own flight-proven laser retroreflector arrays, so any satellite can be tracked. Our station network is expanding across Europe, South America, Africa and Australia. The data supports resilient navigation, Earth observation and the safe, sustainable use of space. We're a small, fast-moving team of engineers, scientists and operators in London. We're backed by venture investors and supported by ESA, the UK Space Agency, Innovate UK and the European Innovation Council. Position Overview London · Full time · On-site You'll turn large volumes of laser ranging data into geodetic and orbit products at scale. You'll build the pipelines, models and quality checks behind them. What you'll do Build processing pipelines that take ranging data from raw returns to normal points and higher-level products Develop statistical methods for bias detection, outlier rejection and data quality Analyse station and network performance, and find where it can improve Work with our geodesy and orbit determination team to turn research into products Turn analysis into clear reports, plots and customer-facing metrics What you'll bring A degree in geodesy, physics, maths, data science or similar (MSc or PhD preferred) Strong Python and the scientific stack (NumPy, pandas, SciPy) Solid statistics: estimation, time series and uncertainty Experience with large scientific datasets A habit of writing production code, not just notebooks Nice to have SLR or GNSS data, including the CRD format Cloud data pipelines Machine learning for anomaly detection What We Offer A high-impact role with real ownership at an early-stage, venture-backed spacetech company EMI share options (UK employees) 25 Days Annual Leave + Bank Holidays Enhanced Parental Leave Cycle to work schemes Work alongside engineers and scientists across optics, lasers, software and astrodynamics Offices in central London, with snacks, tea, coffee and regular socials We actively champion underrepresented groups and seek to bridge gaps in our workforce. If you're excited by the role but don't match every point, or you’re seeking a part time role, please apply anyway and add a note into your application. Building the best team is our priority. Find more English Speaking Jobs in United Kingdom on Arbeitnow

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Listed on arbeitnow · posted 2026-10-01. ApplySarthi collects openings and links to application pages; the role is advertised by Foundational, not by us.