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- Tasks: Lead exciting projects in hydrology and develop innovative models using cutting-edge software.
- Company: Join a dynamic, independent consultancy known for its expertise in water and renewable energy.
- Benefits: Enjoy a competitive salary, generous leave, hybrid working, and a focus on your professional growth.
- Why this job: Make a real impact on environmental projects while developing your skills in a supportive team.
- Qualifications: Degree in Civil Engineering or Environmental Science, with coding experience in Python or R.
- Other info: Great career progression opportunities in a vibrant location near Reading.
The predicted salary is between 35000 - 42000 £ per year.
This is an excellent opportunity to join my client, an innovative, independent Multidisciplinary Consultancy, renowned for lending their expertise to projects across the Water, Transport, and Renewable Energy Sectors. They are currently on the lookout for an experienced, enthusiastic 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 lively, picturesque town of Reading.
Benefits for the role include:
- Competitive salary, increasing with length of service
- Employee Pension Scheme
- Generous annual leave entitlement
- A focus on work-life balance, with opportunities to pursue 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:
- Oversee the development of models and methods, utilising various software platforms, including Qube, CERF, FEH Flood Modelling Suite, ReFH2, and WINFAP5
- Create 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
- Work closely with a team to support scientific research
- Liaise closely with clients and other stakeholders across the public and private sectors
Required skills and experience include:
- A UK Bachelor’s Degree (or equivalent qualification) in Civil Engineering, Environmental Science, or a cognate discipline
- Considerable experience of coding, particularly using Python and/or R
- Demonstrable experience of developing machine learning models, particularly when applied to environmental data
- Experience of working in a hydrological or water-centric 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 UK Master’s Degree (or equivalent qualification) 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.
Environmental Data Scientist/Hydrologist employer: Penguin Recruitment Ltd
Contact Detail:
Penguin Recruitment Ltd 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 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 and 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! We have a range of exciting roles available, and applying directly can sometimes give you an edge. Let’s get you that job!
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.
Show Off Your Communication Skills: Since this role involves liaising with clients and stakeholders, make sure to showcase your communication skills in your application. Whether it's through your CV, cover letter, or any additional documents, we want to see how you can present complex information clearly and concisely.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll find all the details you need right there. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Penguin Recruitment Ltd
✨Know Your Hydrology Inside Out
Make sure you brush up on your hydrological knowledge and modelling techniques. 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 expertise and passion for the field.
✨Show Off Your Coding Skills
Since coding is a big part of this role, be ready to talk about your experience with Python and R. You might even want to prepare a small example of a machine learning model you've developed, as this could really impress your interviewers.
✨Communicate Clearly and Confidently
Outstanding communication skills are key for this position. Practice explaining complex data sets and modelling methods in simple terms. This will demonstrate your ability to present information accurately to clients and stakeholders.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s projects and their approach to environmental data science. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
