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- Tasks: Lead innovative hydrological projects using advanced modelling and machine learning techniques.
- Company: Join a dynamic consultancy known for its expertise in water, transport, and renewable energy.
- Benefits: Enjoy a competitive salary, flexible working, generous leave, 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; experience with Python/R and machine learning.
- Other info: Exciting career progression opportunities in a vibrant location near Reading.
The predicted salary is between 35000 - 42000 Ā£ per year.
This is an outstanding 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 actively seeking a talented, driven Senior Environmental Data Scientist/Hydrologist with demonstrable knowledge of hydrology and hydrological modelling, who is keen to lead a dedicated team through the delivery of an array of challenging projects. You will be based near the charming, vibrant town of Reading.
Benefits
- Competitive salary, rising with experience
- Employee Pension Scheme
- Generous annual leave entitlement
- A focus on workālife balance, with flexible/hybrid working prospects
- 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
- Take the lead in 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
- A UK Degree (or equivalent qualification) in Civil Engineering, Environmental Science, or a similar, relevant 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 waterācentric 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
- Good literacy and numeracy skills, particularly when applied to report writing
- Technically- and analytically-minded
Desirable skills and experience
- A UK Masterās Degree (or equivalent qualification) in a relevant discipline
- Possess a full, valid UK Driverās Licence
If you are interested in the 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 in London employer: Penguin Recruitment Ltd
Contact Detail:
Penguin Recruitment Ltd Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Environmental Data Scientist/Hydrologist in London
āØTip Number 1
Network like a pro! Reach out to professionals in the environmental data science field on LinkedIn or at local meetups. We canāt stress enough how valuable personal connections can be in landing that dream job.
āØTip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving hydrological modelling and machine learning. This gives potential employers a taste of what you can bring to the table.
āØTip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions related to hydrology and data analysis to boost your confidence.
āØTip Number 4
Donāt forget to apply through our website! We have a range of exciting roles available, and applying directly can sometimes give you an edge over other candidates. Letās get you that job!
We think you need these skills to ace Environmental Data Scientist/Hydrologist in London
Some tips for your application š«”
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 this role involves liaising with clients and stakeholders, it's crucial to demonstrate your communication skills. Whether it's in your CV, cover letter, or any additional documents, make sure you convey your ability to present complex information clearly and concisely.
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 donāt 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 Ltd
āØKnow Your Hydrology
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 CERF. This will show your expertise and passion for the field.
āØShowcase Your Coding Skills
Since coding is a big part of this role, be ready to talk about your experience with Python and R. Consider bringing examples of your work or even a small project that demonstrates your ability to develop machine learning models using environmental data.
āØCommunicate Clearly
Outstanding communication skills are key for this position. Practice explaining complex concepts in simple terms, as you'll need to present information to various stakeholders. Think about how you can convey your ideas concisely and effectively during the interview.
āØAsk Insightful Questions
Prepare some thoughtful questions about the companyās projects and their approach to hydrology. This not only shows your interest but also helps you gauge if the company aligns with your career goals and values, especially regarding work-life balance and CPD opportunities.
