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- Tasks: Lead exciting projects in hydrology and develop innovative models using cutting-edge software.
- Company: Join an eco-conscious consultancy making waves in water, transport, and renewable energy.
- Benefits: Enjoy a competitive salary, generous leave, hybrid working, and a focus on your professional growth.
- Other info: Dynamic role with excellent career progression opportunities in a supportive environment.
- Why this job: Make a real impact on environmental projects while working near the historic city of Oxford.
- Qualifications: Degree in Hydrology or related field, coding skills in Python/R, and experience with machine learning.
The predicted salary is between 30000 - 42000 £ per year.
This is a fantastic opportunity to join my client, an industry-leading, eco-conscious Multidisciplinary Consultancy, renowned for lending their expertise to projects across the Water, Transport, and Renewable Energy Sectors. They are actively seeking a talented, driven Senior Environmental Data Scientist/Hydrologist with demonstrable knowledge of hydrology and hydrological modelling, who is willing and able to lead a team through their delivery of several challenging projects. You will be based near the historical, academic city of Oxford.
Benefits for the role include (but are not limited to):
- Competitive salary, rising with experience
- Employee Pension Scheme
- Incredibly generous annual leave allowance
- A focus on work-life balance, with opportunities for hybrid/flexible working
- Healthcare plan
- Dedication to your Continuing Professional Development (CPD), with extensive 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
- Support scientific research
- Liaise closely with clients and other stakeholders
Required skills and experience include:
- A UK Bachelor's Degree (or equivalent qualification) in Hydrology, Civil Engineering, Environmental Science, or a similar, relevant discipline
- Demonstrable experience of coding, particularly using 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.)
- Outstanding communication and interpersonal skills, with the ability to present information accurately and concisely to a range of audiences
- Excellent literacy and numeracy skills
- Technically-minded
Desirable skills and experience include:
- A Higher Degree in a relevant discipline
- 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. This is a permanent role. Penguin Recruitment is operating as a recruitment agency in respect to this vacancy.
Environmental Data Scientist/Hydrologist employer: Penguin Recruitment
Contact Detail:
Penguin Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Environmental Data Scientist/Hydrologist
✨Tip Number 1
Network like a pro! Reach out to professionals in the environmental sector, especially those who work with hydrology or data science. Attend industry events or webinars to make connections and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving hydrological modelling or machine learning. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to environmental data science and hydrology. Practice explaining complex concepts in simple terms, as communication is key in this field.
✨Tip Number 4
Don’t forget to apply through our website! We have a range of exciting roles that might just be the perfect fit for you. Keep an eye on new listings and get your applications in early!
We think you need these skills to ace Environmental Data Scientist/Hydrologist
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 your background makes you a great fit for our team. Don't forget to mention specific projects or experiences that relate to the job description.
Showcase Your Communication Skills: Since this role involves liaising with clients and stakeholders, it's crucial to demonstrate your communication skills. In your application, include examples of how you've effectively communicated complex data or concepts to different audiences. We love clear communicators!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, you can check out other exciting roles while you're there!
How to prepare for a job interview at Penguin Recruitment
✨Know Your Hydrology
Make sure you brush up on your hydrology knowledge before the interview. Be prepared to discuss specific models and methods you've worked with, especially those mentioned in the job description like Qube and CERF. Showing that you understand these tools will impress your interviewers.
✨Showcase Your Coding Skills
Since coding is a key part of this role, be ready to talk about your experience with Python and R. Bring examples of projects where you've used these languages, particularly in developing machine learning models for environmental data. This will demonstrate your technical prowess.
✨Communicate Clearly
Outstanding communication skills are essential for this position. Practice explaining complex concepts in simple terms, as you'll need to present information to various stakeholders. Consider doing mock interviews with friends to refine your delivery.
✨Prepare Questions
Interviews are a two-way street, so prepare thoughtful questions about the company’s projects and their approach to environmental challenges. This shows your genuine interest in the role and helps you assess if it's the right fit for you.