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- Tasks: Lead advanced analytics and AI projects while driving account growth.
- Company: Global leader in digital services with a focus on innovation.
- Benefits: Competitive salary, mentorship opportunities, and a merit-based environment.
- Why this job: Make an impact in AI/ML and lead talented analytics teams.
- Qualifications: Proven leadership experience and strong knowledge of Azure and AI/ML frameworks.
- Other info: Dynamic role with a focus on data privacy and ethical standards.
The predicted salary is between 48000 - 72000 £ per year.
A global leader in digital services is seeking an analytics leader in City of Westminster to drive account growth and oversee advanced analytics and AI projects. The ideal candidate will have proven experience in leadership roles, strong knowledge of Azure and AI/ML frameworks, and excellent stakeholder management skills. This role involves mentoring analytics teams and ensuring compliance with data privacy and ethical standards. Join a company that emphasizes innovation and a merit-based environment.
Data Science Practice Lead - AI/ML, Azure, Client Leadership in Westminster employer: Infosys Limited
Contact Detail:
Infosys Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Practice Lead - AI/ML, Azure, Client Leadership in Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with Azure and AI/ML projects. This is your chance to demonstrate your expertise and make a lasting impression on hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your stakeholder management skills. Be ready to discuss how you've successfully led teams and managed client relationships in the past. We want to hear your success stories!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Science Practice Lead - AI/ML, Azure, Client Leadership in Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Science Practice Lead role. Highlight your leadership experience, knowledge of Azure, and any AI/ML projects you've led.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've driven account growth and mentored teams in the past.
Showcase Your Stakeholder Management Skills: In your application, emphasise your ability to manage stakeholders effectively. We want to see how you've navigated complex relationships and ensured compliance with data privacy standards.
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 during the process.
How to prepare for a job interview at Infosys Limited
✨Know Your AI/ML Frameworks
Make sure you brush up on your knowledge of AI and ML frameworks, especially those related to Azure. Be ready to discuss specific projects you've worked on and how you applied these technologies to drive results.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership experience. Think about times when you mentored teams or led projects, and be ready to explain how you fostered collaboration and innovation within your team.
✨Understand Stakeholder Management
Since this role involves client leadership, be prepared to discuss your approach to managing stakeholders. Share examples of how you've successfully navigated complex relationships and ensured alignment with business goals.
✨Emphasise Data Privacy and Ethics
Given the importance of compliance in this role, be ready to talk about your understanding of data privacy regulations and ethical standards in analytics. Discuss how you've implemented these practices in past projects to ensure responsible use of data.
