Data Scientist

Data Scientist

Posted 1 week ago by Mayfleet Recruitment Limited

Apply
£575 Per day
Inside
Remote
Remote , UK
Apply
Amazon S3 Amazon Web Services (AWS) Artificial Intelligence AWS Lambda AWS SageMaker Cloud Computing Cloud Technology Dask (Software) Data Governance Data Ingestion Data Processing Data Science Data Wrangling Feature Engineering Generic Programming Geospatial Data Abstraction Library (GDAL) Google Earth Machine Learning Mapping Software NumPy Open Source Development Pandas (Python Package) Plotly PostGIS Probability And Statistics Python (Programming Language) Real Time Data Satellite Imagery Scikit-learn (Machine Learning Library) Shapefile Software Development Spatial Databases SQL (Programming Language) Stakeholder Management Statistics Transparency (Human-Computer Interaction) Workflows

Summary: The role of Data Scientist for a defence client involves designing and deploying advanced data science models to address geospatial and spatial-temporal challenges. The position requires expertise in Python and geospatial tools, with a focus on working with complex datasets and applying machine learning techniques. The role is fully remote, emphasizing collaboration with various stakeholders to ensure ethical data use and effective communication of insights.

Key Responsibilities:

  • Design, develop, and deploy advanced data science models using Python to solve geospatial and spatial-temporal problems.
  • Work with large, complex datasets including satellite imagery, sensor feeds, open-source data, and mapping services.
  • Apply machine learning, spatial statistics, and AI to support use cases such as land use classification, network optimisation, and population dynamics.
  • Conduct data wrangling, coordinate transformations, raster/vector processing, and feature engineering.
  • Create reproducible workflows and automate pipelines for data ingestion, analysis, and reporting.
  • Produce clear and interactive visualisations using dashboards, maps, and data products.
  • Collaborate with stakeholders, analysts, and policy teams to scope problems and communicate insights effectively.
  • Ensure ethical use of data and support data governance and model transparency principles.

Key Skills:

  • Expert-level Python programming, including libraries such as Pandas, NumPy, Scikit-learn, GeoPandas, Rasterio, Shapely, and PyProj.
  • Proficiency in geospatial tools such as QGIS or PostGIS, and experience with formats like GeoTIFF, Shapefile, and GeoJSON.
  • Proven track record of developing and deploying data science models.
  • Experience with SQL and spatial databases (PostgreSQL/PostGIS).
  • Familiarity with cloud platforms (eg, AWS S3, Lambda, SageMaker, or GCP/Azure equivalents).
  • Excellent problem-solving, collaboration, and communication skills.

Salary (Rate): £575 PD

City: undetermined

Country: UK

Working Arrangements: remote

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Our defence client, requires a new Data Scientist for their central team. Fully remote working available

Key Responsibilities

  • Design, develop, and deploy advanced data science models using Python to solve geospatial and spatial-temporal problems.

  • Work with large, complex datasets including satellite imagery, sensor feeds, open-source data, and mapping services.

  • Apply machine learning, spatial statistics, and AI to support use cases such as land use classification, network optimisation, and population dynamics.

  • Conduct data wrangling, coordinate transformations, raster/vector processing, and feature engineering.

  • Create reproducible workflows and automate pipelines for data ingestion, analysis, and reporting.

  • Produce clear and interactive visualisations using dashboards, maps, and data products.

  • Collaborate with stakeholders, analysts, and policy teams to scope problems and communicate insights effectively.

  • Ensure ethical use of data and support data governance and model transparency principles.

Essential Skills and Experience

  • Expert-level Python programming, including libraries such as Pandas, NumPy, Scikit-learn, GeoPandas, Rasterio, Shapely, and PyProj.

  • Proficiency in geospatial tools such as QGIS or PostGIS, and experience with formats like GeoTIFF, Shapefile, and GeoJSON.

  • Proven track record of developing and deploying data science models

  • Experience with SQL and spatial databases (PostgreSQL/PostGIS).

  • Familiarity with cloud platforms (eg, AWS S3, Lambda, SageMaker, or GCP/Azure equivalents).

  • Excellent problem-solving, collaboration, and communication skills.

Desirable Experience

  • Experience with satellite imagery or remote sensing data (eg, Sentinel, Landsat, Copernicus)

  • Strong experience working with geospatial data (raster and vector formats), spatial joins, and coordinate reference systems

  • Knowledge of tools such as GDAL, xarray, Dask, or Google Earth Engine.

  • Experience creating interactive dashboards with Plotly, Dash, or Streamlit.

  • Exposure to Real Time data processing, mobility data, or urban analytics.

  • Background in geography, environmental science, civil engineering, or a similar field.

Apply
Similar Jobs
Loading data...