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- Tasks: Develop hydrological models and contribute to exciting scientific research.
- Company: Leading multidisciplinary consultancy based near Oxford.
- Benefits: Competitive salary, generous annual leave, hybrid working, and career progression.
- Why this job: Join a dynamic team and make a real impact on environmental science.
- Qualifications: Bachelor's degree and experience in machine learning and data handling.
- Other info: Great opportunities for growth in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading multidisciplinary consultancy is seeking a Senior Environmental Data Scientist/Hydrologist based near Oxford. The role involves developing hydrological models and contributing to scientific research using various software platforms.
Candidates should have a relevant Bachelor's degree and experience in machine learning and data handling.
The position offers a competitive salary, generous annual leave, and opportunities for hybrid working and career progression.
Senior Environmental Data Scientist & Hydrologist (Hybrid) in Oxford employer: Penguin Recruitment
Contact Detail:
Penguin Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Environmental Data Scientist & Hydrologist (Hybrid) in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the environmental data science field on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your hydrological models and any machine learning projects you've worked on. This will give you an edge and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data handling and hydrology, and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're serious about joining our team and makes it easier for us to connect with you.
We think you need these skills to ace Senior Environmental Data Scientist & Hydrologist (Hybrid) in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in hydrological modelling and data handling. We want to see how your skills align with the role, so don’t be shy about showcasing your machine learning expertise!
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 perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this role involves various software platforms, make sure to mention any specific tools or programming languages you’re proficient in. We’re keen on seeing how you can contribute to our scientific research with your technical know-how.
Apply Through Our Website: We encourage you to apply directly 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 from us!
How to prepare for a job interview at Penguin Recruitment
✨Know Your Hydrology
Make sure you brush up on your hydrological models and the latest research in the field. Be ready to discuss specific projects you've worked on and how you've applied machine learning techniques to solve real-world problems.
✨Showcase Your Software Skills
Familiarise yourself with the software platforms mentioned in the job description. If you have experience with specific tools, be prepared to share examples of how you've used them effectively in past roles.
✨Prepare for Technical Questions
Expect some technical questions related to data handling and analysis. Practise explaining complex concepts in simple terms, as this will demonstrate your understanding and ability to communicate effectively.
✨Highlight Your Teamwork Experience
Since this role is within a multidisciplinary consultancy, emphasise your experience working in teams. Share examples of how you've collaborated with others to achieve project goals, showcasing your interpersonal skills.
