All applications must be made via JBA’s online recruitment portal at: https://jbariskmanagement.current-vacancies.com/Jobs/Advert/4292145?cid=3213&t=Geospatial-Data-Scientist
Join our Geospatial Sciences team at JBA Risk Management.
Are you a talented Geospatial Data Scientist with experience in Python, machine learning and working with geospatial data? Are you passionate about making a real impact and helping our clients understand our data? At JBA Risk Management, we are market leaders in flood-related data, models and services. Join us to shape the future of flood modelling and support better decisions across global re/insurance, property and public sectors.
This full-time role will be in our modern, eco-friendly offices at Broughton Park, near Skipton, North Yorkshire, BD23 3FD. Our team has adopted a hybrid working approach with some requirement to work both from home and in the office. We supply basic equipment to support this. You will need to be in the Skipton office a minimum of 3 days a week.
You will be joining an award-winning environmental and engineering consultancy which puts innovation, sustainability and resilience at the heart of its work. We are independent and staff-owned under a stewardship model which drives long term decision making and investment. We have offices in the UK, Ireland, Romania, India, Singapore and Australia.
Our people are all important and we invest heavily in life-long learning and skills development. We support hybrid working which provides for greater flexibility with the way that we work
As a Geospatial Data Scientist, you will be joining our growing team to help deliver on some of our leading and most challenging projects. Collaborating across teams of experts in natural sciences, statistics and software engineering, you will be responsible for tasks such as:
· Contributing to the development of reproducible data workflows
· Developing and implementing machine learning models for various projects
· Handle data pre-processing tasks such as data cleaning, transformation, normalization, and feature engineering to prepare data for model training
· Analyse data and identify patterns to improve model accuracy
· Collaborate with cross-functional teams to develop and deploy models
· Participate in quality assurance of data outputs
· Explore new data sources and methods under guidance
· Work with environmental and geospatial datasets
· Assist in presenting results to internal stakeholders, collaborators and occasionally clients
· Grow your understanding of JBA’s data and methods.
At JBA, you will benefit from ongoing training, opportunities to participate in relevant conferences, and collaboration with leading experts to support your professional growth and career advancement within our dynamic company.
The team member we are looking for:
We are seeking a candidate who aligns well with our company values. We prioritize individuals who take responsibility, foster trust, and demonstrate innovation. We value diversity and offer a supportive, challenging environment dedicated to consistently delivering high-quality, meaningful work.
A graduate degree (Bachelor's, Master's, or equivalent) in a scientific subject with a strong numerical component, or equivalent professional experience is required.
Essential attributes for the role:
· Familiarity with data analysis techniques, models and visualization tools (Pandas, Matplotlib, Plotly)
· Familiarity with database management systems
· Strong foundation in machine learning algorithms, statistics, and data structures
· Proficiency in programming languages and frameworks (Python, PyTorch)
· Experience with data pre-processing, feature engineering, and model evaluation techniques
· Willingness to stay up to date with the latest ML and AI developments
· Strong problem-solving skills and attention to detail
· Excellent communication and collaboration skills, including explaining technical work to non-technical audiences and publishing scientific discoveries to the global audience
· Accountability and reliability in delivering results
· Interest in real-world environmental and natural hazard problems.
Desirable attributes for the role:
· Experience working with geospatial or environmental datasets
· Practical experience applying 2D hydraulic models to flood risk assessments
· Experience developing embedded ML applications (C++, CUDA, TensorRT)
· Knowledge of natural hazard risk
· Ability to work within Agile frameworks, prioritizing tasks and delivering efficiently
· Openness to experimenting with new ideas and technologies
Location:
Broughton Park, Skipton, North Yorkshire, BD23 3FD.
Contact:
For further information or an informal discussion about this position, please contact James Warford-Slater on 01756 799919.
Applications:
Only applications made via JBA’s online recruitment portal will be considered – our current vacancies can be found at: https://jbagroup.current-vacancies.com/Careers/JBA-Group-Vacancy-Search-Page-3213
Benefits:
- Company pension
- Cycle to work scheme
- Flexitime
- Free parking
- On-site parking
- Profit sharing
Ability to commute/relocate:
- Skipton BD23 3FD: reliably commute or plan to relocate before starting work (required)
Work authorisation:
- United Kingdom (required)
Work Location: Hybrid remote in Skipton BD23 3FD
