Senior Environmental Data Scientist: R, GIS & NLP

HumanInTech; Brussel Hoofdstad; Hybrid; EUR 96,000 - 138,000; Full time

Job summary

HumanInTech is looking for a senior data analyst to work with a public-sector organisation on statistical analyses of environmental datasets. The role combines hands-on analysis, knowledge transfer, and team guidance, with on-site Brussels presence 1–2 days per week and 50% remote work.

You will train colleagues, develop reproducible analyses, and focus on publication-ready statistical work, including robust visualisation and clear communication.

Qualifications

• Requires a technical or engineering degree or equivalent ICT experience.
• At least 10 years of experience with R.
• At least 10 years with statistical software packages.
• At least 10 years with the relevant technology or similar tech.
• At least 3 years of experience delivering training.
• Experience in the public sector.
• Dutch at CEFR level C2.

Responsibilities

• Analyse environmental datasets and perform geostatistical analyses.
• Develop and apply data mining and outlier detection techniques.
• Create publication-ready visualisations and reports using R Markdown.
• Set up quality control processes for data and documents.
• Explore NLP for automated processing of permit decisions from PDFs.
• Deliver training and guide internal staff; conduct collaborative work sessions.
• Explain analyses clearly and enable future autonomous analyses by colleagues.

Skills

R

Statistical software

Data mining

NLP techniques

Python

Neural networks

Dutch (CEFR C2)

Education

Bachelor's or Master’s in technical/engineering

Tools

R Markdown

GIS software

Open source tools

Job description

HumanInTech is looking for a senior data analyst to work with a public-sector organisation on statistical analyses of environmental datasets. The role combines hands-on analysis, knowledge transfer, and team guidance, with on-site Brussels presence 1–2 days per week and 50% remote work.

You will train colleagues, develop reproducible analyses, and focus on publication-ready statistical work, including robust visualisation and clear communication.