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- Tasks: Lead exciting projects in hydrology and develop innovative models using cutting-edge software.
- Company: Join a respected consultancy focused on environmental solutions in water, transport, and renewable energy.
- Benefits: Enjoy a competitive salary, generous leave, flexible working, and a strong focus on your professional growth.
- Why this job: Make a real difference in environmental science while working in the beautiful city of Oxford.
- Qualifications: Degree in Hydrology or Environmental Science, coding skills in Python/R, and experience with machine learning.
- Other info: Dynamic role with excellent career progression opportunities and a supportive work-life balance.
The predicted salary is between 35000 - 42000 £ per year.
This is a wonderful opportunity to join my client, a highly-regarded, environmentally-savvy Multidisciplinary Consultancy, renowned for lending their expertise to projects across the Water, Transport, and Renewable Energy Sectors. They are currently seeking a talented, enthusiastic Senior Environmental Data Scientist/Hydrologist with demonstrable knowledge of hydrology and hydrological modelling, who is keen to lead a team through their delivery of several challenging projects. You will be based near the beautiful, academic city of Oxford.
Benefits for the role include (but are not limited to):
- Competitive salary, rising with experience
- Employee Pension Scheme
- Very generous annual leave entitlement
- A focus on work-life balance, with possibilities of flexible/hybrid working
- Healthcare plan
- Dedication to your Continuing Professional Development (CPD), with excellent career progression opportunities
- Delivery of a wide range of exciting engineering projects across the local region and beyond
Responsibilities include:
- Contribute to the development of models and methods, utilising various software platforms, including Qube, CERF, FEH Flood Modelling Suite, ReFH2, and WINFAP5
- Produce flow estimation, flood estimation, and catchment models
- Identify opportunities for developing hydrological models, utilising machine learning for improvement and development purposes
- Develop, manage, and enhance hydrological and modelling methods
- Provide dedicated support to scientific research
- Liaise closely with clients and other stakeholders, across the public and private sectors
Required skills and experience include:
- A Bachelor's Degree in Hydrology, Environmental Science, or a cognate discipline
- Demonstrable experience of coding, with particular familiarity with Python and/or R
- Considerable experience of developing machine learning models, particularly when applied to environmental data
- Experience of working in a hydrological or water-based environmental science role
- Confident ability in handling complex data sets, particularly those that are spatial and temporal in nature (e.g., NetCDF, ASCII, etc.)
- Excellent communication and interpersonal skills, with the ability to present information accurately and concisely to a range of audiences
- Good literacy and numeracy skills, particularly when applied to report writing
- Analytically-minded
Desirable skills and experience include:
- A Higher Degree in a relevant subject area
- Possess a full, valid UK Driver's Licence
If you are interested in this role, please do not hesitate to contact Caroline Davis at Penguin Recruitment.
Environmental Data Scientist/Hydrologist Penguin Recruitment Ltd in Oxford employer: Notjustlabcoats
Contact Detail:
Notjustlabcoats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Environmental Data Scientist/Hydrologist Penguin Recruitment Ltd in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the environmental sector on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving hydrological modelling or machine learning. We love seeing real examples of what you can do!
✨Tip Number 3
Prepare for interviews by practising common questions related to environmental data science. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we have loads of other exciting roles that might catch your interest!
We think you need these skills to ace Environmental Data Scientist/Hydrologist Penguin Recruitment Ltd in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Environmental Data Scientist/Hydrologist. Highlight your experience with hydrology, coding in Python or R, and any machine learning projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about environmental science and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Communication Skills: Since you'll be liaising with clients and stakeholders, it's important to demonstrate your communication skills. In your application, include examples of how you've effectively presented complex information to different audiences. We love clear and concise communicators!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the latest updates. Plus, you can check out other exciting roles while you're there!
How to prepare for a job interview at Notjustlabcoats
✨Know Your Hydrology Inside Out
Make sure you brush up on your hydrology and hydrological modelling knowledge. Be prepared to discuss specific projects you've worked on, especially those involving software like Qube or the FEH Flood Modelling Suite. This will show your potential employer that you're not just familiar with the concepts but have practical experience too.
✨Show Off Your Coding Skills
Since coding is a key part of this role, be ready to talk about your experience with Python and R. Consider preparing a small project or example where you've used these languages to solve a problem in environmental data science. This will demonstrate your technical abilities and your proactive approach.
✨Communicate Clearly and Confidently
Excellent communication skills are essential for this position. Practice explaining complex data sets and modelling methods in simple terms. You might even want to prepare a brief presentation to showcase your ability to convey information effectively to different audiences.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, team dynamics, and opportunities for professional development. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
