Unlock Meaningful Insights as a Data Scientist
We are seeking a highly skilled and motivated individual to join our research team as a Data Scientist.
The successful candidate will work closely with physicists and engineers to transform raw imaging and spectral data into actionable insights that drive business growth.
The role focuses on developing and optimising data pipelines, applying advanced statistical and machine learning methods, and ensuring reproducibility and scalability of analysis routines.
The ideal candidate will have demonstrated experience in Python for data analysis, including scientific libraries such as NumPy, pandas, scikit-learn, and matplotlib.
Key Responsibilities:
Develop and optimise data pipelines to extract meaningful insights from complex data sets
Apply advanced statistical and machine learning methods to drive business growth
Ensure reproducibility and scalability of analysis routines to meet the needs of the organisation
Requirements:
Demonstrated experience in Python for data analysis, including working with scientific libraries
Experience working with spectral and/or imaging datasets to inform business decisions
Ability to interpret scientific problems and translate them into reproducible workflows that meet organisational needs
What We Offer:
A unique opportunity to work in a team-oriented and innovative research environment
Autonomy to develop and implement data analysis solutions that drive business results
Opportunities for professional growth and development in a dynamic and supportive team
How to Apply:
To be considered for this position, please submit a cover letter, resume, and a document outlining your responses to the selection criteria.