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- Tasks: Build and manage machine learning models while designing experiments and analysing model behaviour.
- Company: Data-focused firm with a strong emphasis on innovation and collaboration.
- Benefits: Generous leave, relocation support, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the world of data science.
- Qualifications: Strong foundations in statistics, applied machine learning, and experience with large datasets.
- Other info: On-site role in Abu Dhabi with excellent career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A data-focused firm is seeking a Senior Data Scientist to build and manage machine learning models and data workflows. The position requires strong foundations in statistics, applied machine learning, and experience with large datasets.
Responsibilities include:
- Designing experiments
- Analyzing model behaviour
- Translating models into production components
This role is on-site in Abu Dhabi with generous leave and relocation support.
Senior Data Scientist — Greenfield ML & Production (Abu Dhabi) in London employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — Greenfield ML & Production (Abu Dhabi) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or in similar roles on LinkedIn. 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 machine learning projects and data workflows. We want to see how you’ve tackled real-world problems, so make it visually appealing and easy to understand.
✨Tip Number 3
Ace the interview! Brush up on your statistics and applied machine learning concepts. Be ready to discuss your past experiences and how they relate to the role. We love candidates who can explain complex ideas simply.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Data Scientist — Greenfield ML & Production (Abu Dhabi) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning and large datasets in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your best projects!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your background in statistics and applied machine learning makes you a perfect fit for our team at StudySmarter.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your experience and achievements shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the easiest way for us to review your details and get back to you quickly. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Durlston Partners
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving large datasets. Be ready to discuss specific challenges you faced, how you approached them, and the outcomes. This will show your practical experience and understanding of data workflows.
✨Brush Up on Machine Learning Concepts
Make sure you're well-versed in the latest machine learning techniques and algorithms. Prepare to explain how you've applied these in real-world scenarios, especially in designing experiments and analysing model behaviour. This will demonstrate your expertise and readiness for the role.
✨Prepare for Technical Questions
Expect technical questions that test your statistical knowledge and machine learning skills. Practice explaining complex concepts in simple terms, as you may need to translate your models into production components. This will highlight your ability to communicate effectively with both technical and non-technical stakeholders.
✨Show Enthusiasm for the Role
Express genuine interest in the company and the position. Research the firm’s projects and values, and be prepared to discuss how your goals align with theirs. A positive attitude can make a significant difference and show that you’re a great fit for their team.
