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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.
- Why this job: Make a real impact on environmental projects while enjoying a great work-life balance.
- Qualifications: Degree in Hydrology or related field, coding skills in Python/R, and experience with machine learning.
- Other info: Based near historic Oxford with excellent career progression opportunities.
The predicted salary is between 35000 - 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:
- 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.
Environmental Data Scientist/Hydrologist in Oxford employer: Penguin Recruitment
Contact Detail:
Penguin Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Environmental Data Scientist/Hydrologist 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
Prepare for interviews by researching the company and its projects. We recommend having a few questions ready about their work in hydrology and machine learning applications. Show them you’re genuinely interested!
✨Tip Number 3
Practice your coding skills, especially in Python and R. We suggest working on some sample projects or contributing to open-source initiatives. This will not only boost your confidence but also give you something tangible to discuss in interviews.
✨Tip Number 4
Don’t forget to apply through our website! We have a range of roles that might suit your skills. Plus, it’s a great way to stay updated on new opportunities in the environmental data science field.
We think you need these skills to ace Environmental Data Scientist/Hydrologist 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 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 important to demonstrate your communication skills. Use clear and concise language in your application, and consider including examples of how you've effectively communicated complex information in the past.
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 Inside Out
Make sure you brush up on your hydrology knowledge before the interview. Be prepared to discuss specific models and methods you've used, especially those mentioned in the job description like Qube and CERF. Showing that you can talk confidently about your experience will impress the interviewers.
✨Show Off Your Coding Skills
Since coding is a big part of this role, be ready to demonstrate your proficiency in Python and R. You might even want to prepare a small project or example of how you've applied machine learning to environmental data. This will not only showcase your skills but also your passion for the field.
✨Communicate Clearly and Effectively
Outstanding communication skills are key for this position. Practice explaining complex concepts in simple terms, as you'll need to liaise with clients and stakeholders. Consider doing mock interviews with friends or family to refine your ability to present information concisely.
✨Research the Company Culture
Understanding the company's eco-conscious values and their focus on work-life balance can give you an edge. Be ready to discuss how your personal values align with theirs and how you can contribute to their mission. This shows that you're not just looking for any job, but that you're genuinely interested in being part of their team.
