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- Tasks: Implement data pipelines and collaborate with research and trading teams.
- Company: Leading global investment management firm with a high-impact team.
- Benefits: Competitive compensation and a fast-paced work environment.
- Why this job: Join a dynamic team and make an impact in commodities and weather data.
- Qualifications: 3+ years of experience, advanced degree, and strong Python skills required.
- Other info: Exciting opportunities for growth in a collaborative setting.
The predicted salary is between 36000 - 60000 £ per year.
A leading global investment management firm is seeking a talented Data Scientist to join a high-impact team. In this role, you will work cross-functionally, implementing data pipelines and collaborating closely with research and trading.
The ideal candidate has over 3 years of experience, an advanced degree in a quantitative field, and excellent skills in Python and data engineering. Experience with weather and satellite data is required.
Competitive compensation and fast-paced environment provided.
Data Scientist - Commodities & Weather Data Pipelines employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Commodities & Weather Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines and any projects involving weather or satellite data. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and data engineering concepts. We can use platforms like LeetCode or HackerRank to sharpen our coding skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight our relevant experience in commodities and weather data.
We think you need these skills to ace Data Scientist - Commodities & Weather Data Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and any relevant projects you've worked on. We want to see how your skills in Python and data engineering shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of your work with weather and satellite data, and how you’ve collaborated with teams in the past.
Showcase Your Quantitative Skills: Since we’re looking for someone with an advanced degree in a quantitative field, make sure to highlight your academic achievements and any relevant coursework or projects that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures it gets into the right hands quickly!
How to prepare for a job interview at Selby Jennings
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of weather and satellite data. Brush up on how these datasets can impact commodities trading, as this will show your potential employer that you understand the nuances of the role.
✨Showcase Your Python Skills
Prepare to discuss your experience with Python in detail. Bring examples of past projects where you implemented data pipelines or solved complex problems using Python. This will demonstrate your technical prowess and problem-solving abilities.
✨Collaborative Mindset is Key
Since the role involves working cross-functionally, be ready to talk about your experience collaborating with different teams. Share specific examples of how you’ve successfully worked with researchers or traders to achieve common goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data science and how they leverage data in their trading strategies. This not only shows your interest but also helps you gauge if the company culture aligns with your values.
