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- Tasks: Run machine learning workloads on Azure and optimise models for real-world applications.
- Company: Global consultancy in the UK with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact with cutting-edge machine learning technologies.
- Qualifications: Strong programming skills and hands-on experience with Azure Machine Learning.
- Other info: Ideal for those looking to manage multiple projects in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A global consultancy in the United Kingdom is seeking a skilled Data Scientist to join their team. The role involves running machine learning workloads on Azure, managing and optimizing models, and collaborating with both local and remote teams.
The ideal candidate should have:
- Strong programming skills
- Hands-on experience with Azure Machine Learning
- A solid understanding of data and its limitations
This position requires the ability to handle multiple projects simultaneously and may benefit from the Azure Data Scientist Associate Certification.
Azure Data Scientist: ML, Production Deployments & Azure ML in London employer: Savant Recruitment
Contact Detail:
Savant Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Scientist: ML, Production Deployments & Azure ML in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the consultancy on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Azure ML projects. We want to demonstrate our hands-on experience and problem-solving abilities in real-world scenarios.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on machine learning concepts and Azure tools. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match the job description perfectly.
We think you need these skills to ace Azure Data Scientist: ML, Production Deployments & Azure ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and machine learning. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or certifications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool machine learning projects, make sure to mention them! We’re interested in your hands-on experience, especially with Azure ML. Include links to your work if possible – it really helps us get a feel for your skills.
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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Savant Recruitment
✨Know Your Azure Inside Out
Make sure you brush up on your Azure Machine Learning skills. Familiarise yourself with the platform's features, especially those related to model management and optimisation. Being able to discuss specific projects where you've successfully deployed ML models on Azure will definitely impress.
✨Showcase Your Programming Prowess
Prepare to demonstrate your programming skills during the interview. Be ready to discuss the languages you’re proficient in, such as Python or R, and how you've used them in past projects. Consider bringing along a portfolio of your work or examples of code that highlight your capabilities.
✨Collaboration is Key
Since the role involves working with both local and remote teams, be prepared to talk about your experience in collaborative environments. Share examples of how you've effectively communicated and worked with diverse teams to achieve project goals, especially in a data science context.
✨Get Certified and Be Ready to Discuss It
If you have the Azure Data Scientist Associate Certification, make sure to mention it! If not, consider getting it before the interview. This shows your commitment to the field and gives you a solid talking point about your understanding of Azure’s capabilities and limitations.
