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- Tasks: Lead a team to develop predictive models using Azure Machine Learning and engage with stakeholders.
- Company: Global technology leader focused on innovation and continuous learning.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make impactful contributions to client projects while fostering innovation in a dynamic environment.
- Qualifications: Extensive experience in data science leadership and strong communication skills.
- Other info: Join a culture that promotes best practices in AI and continuous learning.
The predicted salary is between 43200 - 72000 £ per year.
A global technology leader is seeking a Data Scientist to manage a team and develop predictive models using Azure Machine Learning. This role includes engaging with stakeholders, ensuring best practices in AI, and promoting a culture of continuous learning.
The ideal candidate will have extensive experience in data science leadership, strong communication skills, and proficiency in machine learning frameworks. It's an exciting opportunity to foster innovation within the team and make impactful contributions to client projects.
Senior Data Science Lead — Azure ML & MLOps employer: ITL UK
Contact Detail:
ITL UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Lead — Azure ML & MLOps
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with Azure ML. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and projects using Azure Machine Learning. This will not only impress potential employers but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Brush up on your communication skills and be ready to explain complex concepts in simple terms. Remember, they want to see how you engage with stakeholders and promote a culture of learning.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Science Lead — Azure ML & MLOps
Some tips for your application 🫡
Showcase Your Leadership Skills: When writing your application, make sure to highlight your experience in leading data science teams. We want to see how you've managed projects and engaged with stakeholders, so share specific examples that demonstrate your leadership style.
Be Clear About Your Technical Expertise: Since this role involves Azure ML and MLOps, it's crucial to detail your proficiency in these areas. We’re looking for candidates who can clearly articulate their experience with machine learning frameworks, so don’t hold back on the technical jargon!
Emphasise Continuous Learning: We value a culture of continuous learning at StudySmarter, so make sure to mention any initiatives you've led or participated in that promote this. Whether it’s workshops, courses, or mentoring, we want to know how you foster growth within your team.
Apply Through Our Website: Finally, don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at ITL UK
✨Know Your Stuff
Make sure you brush up on your Azure Machine Learning and MLOps knowledge. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This shows your hands-on experience and problem-solving skills.
✨Engage with Stakeholders
Since this role involves engaging with stakeholders, prepare examples of how you've successfully communicated complex data science concepts to non-technical audiences. This will demonstrate your strong communication skills and ability to bridge the gap between tech and business.
✨Showcase Leadership Experience
As a Senior Data Science Lead, you'll need to manage a team. Be prepared to talk about your leadership style, how you foster a culture of continuous learning, and any initiatives you've implemented to encourage innovation within your team.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to AI best practices and how they measure success in their data science projects. This not only shows your interest in the role but also helps you gauge if the company aligns with your values and career goals.
