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- Tasks: Join a prestigious MSc programme and gain hands-on experience in geo-energy and data science.
- Company: Global multi-energy company committed to diversity and innovation.
- Benefits: Scholarship funding, industry experience, and networking opportunities.
- Why this job: Kickstart your career in a leading energy firm while studying at Imperial College London.
- Qualifications: Relevant Bachelor's degree, strong quantitative skills, and coding experience.
- Other info: Perfect for those passionate about geoscience and machine learning.
The predicted salary is between 36000 - 60000 £ per year.
A global multi-energy company is offering a scholarship for students joining the Geo-Energy with Machine Learning and Data Science MSc program at Imperial College London. Candidates must possess a relevant Bachelor's degree and demonstrate strong quantitative and coding skills. An internship in geoscience or related fields is also required. This opportunity provides invaluable experience in a leading energy firm that values diversity and growth.
Geo-Energy ML & Data Science MSc Scholar employer: TOTAL Deutschland GmbH
Contact Detail:
TOTAL Deutschland GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geo-Energy ML & Data Science MSc Scholar
✨Tip Number 1
Network like a pro! Reach out to current students or alumni from the Geo-Energy MSc programme. They can give you insider tips on the application process and what the scholarship committee is really looking for.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your quantitative and coding projects. This will help you stand out during interviews and demonstrate your hands-on experience in geoscience.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data science and machine learning. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who are eager to grow in the energy sector.
We think you need these skills to ace Geo-Energy ML & Data Science MSc Scholar
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your quantitative and coding skills in your application. We want to see how you've used these skills in your previous studies or internships, so don’t hold back!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the Geo-Energy MSc programme. We love seeing candidates who are genuinely interested in the field and understand what we’re all about.
Share Your Experience: If you’ve done an internship in geoscience or a related field, make sure to mention it! We’re looking for candidates with practical experience, so tell us what you learned and how it relates to this scholarship.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets to us directly, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at TOTAL Deutschland GmbH
✨Know Your Stuff
Make sure you brush up on your quantitative and coding skills before the interview. Be ready to discuss specific projects or coursework that showcase your expertise in these areas, especially if they relate to geoscience or machine learning.
✨Show Your Passion for Geo-Energy
Demonstrate your enthusiasm for the geo-energy sector. Research the company’s recent projects and initiatives in this field, and be prepared to share your thoughts on how you can contribute to their goals.
✨Prepare for Technical Questions
Expect technical questions related to data science and machine learning. Practice explaining complex concepts in simple terms, as you may need to demonstrate your understanding of algorithms or data analysis techniques during the interview.
✨Highlight Your Internship Experience
If you've completed an internship in geoscience or a related field, make sure to highlight this experience. Discuss what you learned, the challenges you faced, and how it has prepared you for this scholarship opportunity.
