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- Tasks: Design and build data-driven research systems using large datasets.
- Company: Leading quantitative investment platform focused on innovation.
- Benefits: Guaranteed salary, robust benefits, and relocation support to Abu Dhabi.
- Why this job: Join a dynamic team and make an impact in the investment world.
- Qualifications: Strong statistical and machine learning skills, fluent in Python.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A quantitative investment platform is seeking a Senior / Principal Data Scientist to build and design data-driven research systems using large, complex datasets. The role involves working closely with quantitative researchers and data engineers, requiring strong statistical and machine learning foundations along with fluency in Python. The position offers a fully guaranteed salary and robust benefits, including relocation support to Abu Dhabi.
Senior Data Scientist — Build Greenfield Data Systems for Investing in Liverpool employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — Build Greenfield Data Systems for Investing in Liverpool
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving large datasets and machine learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical knowledge and Python skills. Practice common data science interview questions and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Scientist — Build Greenfield Data Systems for Investing in Liverpool
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your statistical and machine learning expertise in your application. We want to see how your experience with Python can help us build those greenfield data systems!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Senior Data Scientist role. We love seeing how you can connect your past experiences to what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Durlston Partners
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets relevant to the role. Brush up on your statistical methods and machine learning techniques, as you’ll likely be asked to discuss how you would apply them to real-world scenarios.
✨Showcase Your Python Skills
Since fluency in Python is a must, prepare to demonstrate your coding abilities. You might be given a practical test or asked to explain your previous projects. Have examples ready that highlight your problem-solving skills using Python.
✨Collaborate Like a Pro
This role involves working closely with quantitative researchers and data engineers. Be prepared to discuss how you’ve successfully collaborated in the past. Highlight any experiences where teamwork led to innovative solutions or improved processes.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data systems and future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
