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- Tasks: Build scalable ML models and deploy data-driven solutions in a tech-driven project.
- Company: Leading recruitment agency driving technology transformation.
- Benefits: Competitive contract pay and opportunity to work on innovative projects.
- Why this job: Join a cutting-edge project and enhance your data science skills.
- Qualifications: 10+ years experience with Python, Azure ML, and Databricks required.
- Other info: Office-based role with a 6-month contract inside IR35.
The predicted salary is between 48000 - 72000 £ per year.
A leading recruitment agency is looking for an experienced Data Scientist to join a technology-driven transformation project in Wokingham, UK. This role requires building scalable ML models and deploying data-driven solutions.
The ideal candidate should have:
- Over 10 years of experience
- Strong proficiency in Python
- Experience with Azure ML
- Experience with Databricks
This position is office-based, contract for 6 months, and operates inside IR35.
Data Scientist: Azure ML Ops & Databricks — 6-Month Contract employer: Queen Square Recruitment Ltd
Contact Detail:
Queen Square Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: Azure ML Ops & Databricks — 6-Month Contract
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with Azure ML and Databricks. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ML models and data-driven solutions. This is your chance to demonstrate your expertise in Python, Azure ML, and Databricks, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science scenarios and case studies. We recommend practising how you'd approach building scalable ML models, as this will likely come up during discussions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to get your application noticed. Plus, we’re always on the lookout for talented individuals like you to join exciting projects in the tech space.
We think you need these skills to ace Data Scientist: Azure ML Ops & Databricks — 6-Month Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Azure ML, and Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this Data Scientist role. We love seeing enthusiasm and a clear understanding of the technology-driven transformation project.
Showcase Your Experience: With over 10 years of experience required, make sure to detail your past roles and achievements. We’re interested in how you’ve built scalable ML models and deployed data-driven solutions in previous positions.
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 you’re considered for this exciting opportunity in Wokingham!
How to prepare for a job interview at Queen Square Recruitment Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python, Azure ML, and Databricks skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've built scalable ML models in the past. Think of examples that highlight your analytical thinking and ability to deploy data-driven solutions effectively.
✨Understand the Company’s Vision
Research the recruitment agency and the technology-driven transformation project they’re involved in. Knowing their goals and how your role fits into the bigger picture will show your genuine interest and help you stand out.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, project timelines, and expectations for the role. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
