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- Tasks: Lead innovative data science projects tackling real-world environmental challenges.
- Company: Join a forward-thinking company dedicated to climate resilience and sustainability.
- Benefits: Competitive salary, eco-friendly office, mentoring opportunities, and professional growth.
- Other info: Dynamic team environment with opportunities for thought leadership and innovation.
- Why this job: Make a tangible impact on the environment while advancing your data science skills.
- Qualifications: Strong Python skills and experience with machine learning and geospatial analysis.
The predicted salary is between 50000 - 70000 £ per year.
We are looking for an experienced Senior Data Scientist with a passion for applying advanced analytics to real‑world environmental challenges. Our Technology, Data, and Software Development teams deliver high‑impact solutions for national governments, environmental agencies, infrastructure operators, and international development organisations. We specialise in complex analytical and modelling projects across climate risk, hydrology, geospatial analysis, and machine learning, supporting clients such as local councils, the Environment Agency, and Water and Sewerage Companies. Our work enables better decision‑making for climate adaptation and resilience planning using large, complex datasets and advanced techniques.
This role will provide technical leadership across projects while supporting business development and the continued growth of our data science capability.
Responsibilities
- Leading the design and implementation of analytical workflows, models, and geospatial processes across environmental and climate related datasets.
- Acting as technical lead on projects, developing and defending methodologies suitable for client and regulatory scrutiny.
- Reviewing and quality assuring analytical code, promoting best practice in documentation, version control, testing, and reproducibility.
- Delivering work across multiple projects simultaneously, ensuring outputs are produced to time and quality expectations.
- Communicating complex technical findings clearly to both specialist and non‑technical stakeholders.
- Contributing to proposal writing and work winning activities, including methodology development, costing, and articulating project value.
- Engaging directly with clients to shape analytical approaches, identify emerging needs, and build long‑term relationships.
- Providing mentoring and technical guidance to early‑career data scientists and analysts, supporting their professional development.
Qualifications
- Strong Python skills, with experience writing and reviewing production quality analytical code.
- Practical experience with machine learning techniques, including deep learning models such as CNNs, LSTMs, and GRUs.
- Experience working with environmental datasets, including climate, hydrological, or ecological data.
- Excellent knowledge of GIS and geospatial analysis using Python libraries such as rasterio, GDAL, GeoPandas, and Shapely.
- Experience acting as a technical lead or subject matter expert within multidisciplinary project teams.
- Strong organisational skills and the ability to manage competing priorities and deadlines.
The right candidate should
- Be willing to contribute to bids and proposals, including scoping and costing analytical work.
- Enjoy supporting teams and creating an environment where developers can excel, including mentoring early‑career data scientists.
- Have a desire to work across different technologies and continually develop their skills.
- Be comfortable making technical decisions and providing clear guidance to teams.
- Have a strong interest in advancing best practice in environmental and geospatial data science.
Desirable attributes
- Working knowledge of R.
- Experience working with AWS cloud computing environments.
- A strong statistical foundation, with the ability to apply a range of methods (including multivariate approaches) to real‑world datasets.
- Familiarity with Docker and DevOps style workflows.
- Interest in contributing to thought leadership, innovation proposals, technical publications, or conferences.
Location
The role will be in our modern, eco‑friendly offices at Broughton Park, near Skipton, North Yorkshire BD23 3FD and includes ample free parking and EV charging points.
Contact
For further information or an informal discussion about this position, please contact Jenny Roberts on t:01756 799919.
Senior Data Scientist employer: JBA Group
Contact Detail:
JBA Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in environmental sectors. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and geospatial analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, GIS, and environmental datasets. Practice explaining complex concepts in simple terms – it’s key for communicating with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with Python, machine learning, and environmental datasets. We want to see how your skills align with our needs!
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your analytical skills and technical leadership. We love seeing real-world applications of your work, especially in climate and geospatial analysis.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're passionate about data science and how you can contribute to our mission. Remember, we appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at JBA Group
✨Know Your Data Science Stuff
Make sure you brush up on your Python skills and be ready to discuss your experience with machine learning techniques. Be prepared to explain how you've applied these skills to real-world environmental challenges, as this role is all about using data science to tackle climate issues.
✨Showcase Your Leadership Skills
Since this position involves providing technical leadership, think of examples where you've led projects or mentored others. Be ready to discuss how you shaped analytical approaches and ensured high-quality outputs, as well as how you managed competing priorities.
✨Communicate Clearly
You’ll need to convey complex technical findings to both specialists and non-specialists. Practice explaining your past projects in simple terms, focusing on the impact of your work. This will show that you can bridge the gap between technical and non-technical stakeholders.
✨Engage with the Company’s Mission
Familiarise yourself with the company’s work in environmental and climate-related datasets. Be ready to discuss how your values align with their mission and how you can contribute to their goals. Showing genuine interest in their projects will set you apart from other candidates.