Senior Statistician (R/Python/SAS)

GIOS Technology Limited; United Kingdom; Remote; GBP 65,000 - 90,000; Full time

Job summary

GIOS Technology Limited is hiring a Senior Statistician to advance ecological statistics and environmental research using R, Python and SAS. Remote in the UK with opportunities to work on long-term environmental datasets and monitoring programmes.

The role requires a degree in statistics or related fields or equivalent experience, with proven expertise in survey design and data analysis to inform evidence-based decisions.

Qualifications

• Degree-level qualification in Statistics, Ecology, Environmental Science or another relevant discipline, or equivalent demonstrable experience.
• Proven experience working in statistical, ecological or environmental research fields.
• Strong understanding of statistical analysis and experimental or survey design.
• Experience designing, analysing or evaluating monitoring and survey programmes.
• Ability to analyse complex datasets and interpret statistical findings to support evidence-based decision-making.
• Strong analytical and problem-solving skills, with the ability to address uncertainty and identify meaningful patterns in long-term data.
• Experience in ecological statistics, biodiversity monitoring or environmental research.
• Experience analysing long-term ecological or environmental datasets.

Skills

Statistician

Survey Design

R

Python

SAS

Ecological statistics

Environmental datasets

Statistical Modelling

Education

Degree in Statistics / Ecology / Environmental Science

Job description

We are hiring Senior Statistician (R/Python/SAS)/(Ecological statistical)
Location: Remote in UK

• Degree-level qualification in Statistics, Ecology, Environmental Science or another relevant discipline, or equivalent demonstrable experience.
• Proven experience working in statistical, ecological or environmental research fields.
• Strong understanding of statistical analysis and experimental or survey design.
• Experience designing, analysing or evaluating monitoring and survey programmes.
• Ability to analyse complex datasets and interpret statistical findings to support evidence-based decision-making.
• Strong analytical and problem-solving skills, with the ability to address uncertainty and identify meaningful patterns in long-term data.
• Experience in ecological statistics, biodiversity monitoring or environmental research.
• Experience analysing long-term ecological or environmental datasets.

Key Skills: Statistician/Survey Design/R/Python/SAS/Ecological statistics/Environmental datasets/Statistical Modelling