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For Companies At a Glance
- Tasks: Build and manage machine learning models while designing experiments and analysing data workflows.
- 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 cutting-edge 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 a dynamic work environment.
The predicted salary is between 48000 - 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 England 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 England
✨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
Prepare for the technical interview by brushing up on your machine learning concepts and statistics. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 3
Showcase your projects! If you’ve built any machine learning models or data workflows, make sure to have them ready to discuss. We love seeing practical applications of your skills during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. 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 England
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 apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Durlston Partners
✨Know Your Stats
Brush up on your statistics fundamentals. Be ready to discuss concepts like hypothesis testing, regression analysis, and statistical significance. This will show that you have a solid foundation for the role and can apply these principles in real-world scenarios.
✨Showcase Your ML Experience
Prepare to talk about your previous machine learning projects. Highlight specific models you've built, the datasets you worked with, and the outcomes of your experiments. This will demonstrate your hands-on experience and ability to translate theory into practice.
✨Understand Production Workflows
Familiarise yourself with how machine learning models are deployed in production. Be ready to discuss the challenges of model deployment, monitoring, and maintenance. This knowledge will set you apart as someone who can not only build models but also ensure they perform well in a live environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy, team structure, and the specific challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
