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Geodetic Data Scientist

London, United Kingdom

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s listing: FullTime
From the employer’s posting
Apply at Foundational

What you’ll work on

Full posting
  • Build processing pipelines from raw ranging 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 the geodesy and orbit team to turn research into products

  • Turn analysis into reports, plots and customer-facing metrics

From the employer’s posting
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

All qualifications

Core experience

  • 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
  • Habit of writing production code, not just notebooks
Qualification wording
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
Education & alternatives
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)

Tools in this posting

  • Python
  • NumPy
  • pandas
  • Scipy
Source — Tool mentions in context
- 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

Benefits in the posting

Full benefits wording
  • 25 Days Annual Leave + Bank Holidays
  • Enhanced Parental Leave
  • Cycle to work schemes

From the employer’s posting.

About Foundational

Foundational is building the most precise picture of Earth and orbit, using lasers fired from the ground.

In the employer’s words · Read in context

Posting record

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Status in our records
Live
First seen by us
Oct 3, 2026 · 15 days ago
Recorded sightings
13
Last seen by us
Oct 18, 2026
Employer says posted
Sep 30, 2026

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Job description

View original posting ↗

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.

Source details

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Location & working pattern

London, United Kingdom

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.
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