Geodetic Data Scientist — High-Impact Space Data

Lumi Space; Greater London; On-site; GBP 70,000 - 100,000; Full time

Benefits offered by this job

EMI share options (UK employees)

25 Days Annual Leave + Bank Holidays

Enhanced Parental Leave

Cycle to work schemes

Offices in central London with snacks,

snacks, tea, coffee and regular social

Job summary

Foundational in London is seeking a Geodetic Data Scientist to turn large laser ranging data into geodetic and orbit products at scale. This full-time, on-site role offers ownership early in a venture-backed spacetech company.

You'll build processing pipelines, develop statistical methods for bias detection and data quality, and work with the geodesy and orbit teams to turn research into customer-facing metrics and products.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Geodesy/Geophysics

DataScience

Python

Statistics

Data handling

Education

Geodesy/Geophysics/Maths degree

Tools

Python (SciPy stack)

Cloud data pipelines

Machine learning

Job description

Foundational in London is seeking a Geodetic Data Scientist to turn large laser ranging data into geodetic and orbit products at scale. This full-time, on-site role offers ownership early in a venture-backed spacetech company.

You'll build processing pipelines, develop statistical methods for bias detection and data quality, and work with the geodesy and orbit teams to turn research into customer-facing metrics and products.