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- Tasks: Design machine learning algorithms and develop scalable data pipelines in Azure.
- Company: Leading data analytics firm in Bath with a focus on diversity.
- Benefits: Excellent career development opportunities and a dynamic team environment.
- Why this job: Make an impact in data science and engineering while working with cutting-edge technology.
- Qualifications: Proficiency in Python and a relevant master's degree required.
- Other info: Join a collaborative team that values innovation and growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading data analytics firm in Bath is seeking an experienced Data Specialist who excels in both Data Science and Data Engineering. The successful candidate will design machine learning algorithms, perform statistical analyses, and develop scalable data pipelines within Azure.
Proficiency in Python and strong communication skills are essential, along with a relevant master's degree. Join a dynamic team that promotes diversity and offers excellent career development opportunities.
Azure Data Scientist & ML Engineer in Bath employer: YTL UK
Contact Detail:
YTL UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Scientist & ML Engineer in Bath
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science and engineering fields on LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to ask for informational interviews. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and data pipelines. Use platforms like GitHub to share your code and document your thought process. This will give potential employers a taste of what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with Azure. Practice common data science and engineering interview questions, and don’t forget to highlight your communication skills – they’re just as important as your technical abilities!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Tailor your application to highlight your relevant experience in data science and engineering, and let us know how you can contribute to our dynamic team!
We think you need these skills to ace Azure Data Scientist & ML Engineer in Bath
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science and Data Engineering. We want to see how your skills in designing machine learning algorithms and developing data pipelines shine through!
Showcase Your Projects: Include specific examples of projects you've worked on, especially those involving Azure and Python. This helps us understand your hands-on experience and how you tackle real-world problems.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for data analytics and how you can contribute to our dynamic team in Bath.
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 from our team!
How to prepare for a job interview at YTL UK
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge before the interview. Familiarise yourself with the specific services and tools that are relevant to data science and engineering, like Azure Machine Learning and Azure Data Factory. Being able to discuss how you've used these in past projects will really impress them.
✨Showcase Your Python Skills
Since proficiency in Python is a must, be prepared to discuss your experience with it in detail. Bring examples of projects where you've implemented machine learning algorithms or built data pipelines. If possible, practice coding challenges beforehand to demonstrate your problem-solving skills during the interview.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role, so practice explaining complex concepts in simple terms. Think about how you can convey your technical expertise without overwhelming your interviewer. Remember, they want to see how well you can collaborate with others in a team setting.
✨Emphasise Your Continuous Learning
This firm values career development, so be ready to talk about how you stay updated with the latest trends in data science and machine learning. Mention any courses, certifications, or personal projects you've undertaken recently. This shows your commitment to growth and adaptability in a fast-paced field.
