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- Tasks: Lead analytics solutions and mentor a talented data science team.
- Company: A leading digital services firm fostering innovation.
- Benefits: Competitive compensation and opportunities for career growth.
- Why this job: Make an impact in AI & analytics while driving client success.
- Qualifications: Expertise in Azure, AI/ML frameworks, and strong communication skills.
- Other info: Join a dynamic environment in London that values creativity.
The predicted salary is between 43200 - 72000 £ per year.
A leading digital services firm is looking for a Senior Practice Lead – Data Scientist to oversee analytics solutions and mentor the team. You will manage client engagements, drive account growth, and ensure compliance with data regulations.
The ideal candidate has strong expertise in Azure, AI/ML frameworks, and excellent communication skills. Join a dynamic environment that encourages innovation and career growth in London. Competitive compensation is offered.
Senior Data Science Practice Lead — Client AI & Analytics in London employer: Infosys Limited
Contact Detail:
Infosys Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Practice Lead — Client AI & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in AI and analytics. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure and AI/ML frameworks. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. As a Senior Practice Lead, you'll need to explain complex concepts clearly. Practice explaining your past projects to friends or family!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Plus, it’s the best way to ensure your application gets noticed.
We think you need these skills to ace Senior Data Science Practice Lead — Client AI & Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and AI/ML frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Data Science Practice Lead role. Share your passion for analytics and how you can drive account growth while mentoring the team.
Showcase Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects that. Use clear and concise language, and don’t forget to highlight any experience you have in managing client engagements.
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 a dynamic environment!
How to prepare for a job interview at Infosys Limited
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest AI/ML frameworks and Azure technologies. Brush up on your past projects and be ready to discuss how you've applied these tools to solve real-world problems.
✨Showcase Your Leadership Skills
As a Senior Practice Lead, you'll need to demonstrate your ability to mentor and guide a team. Prepare examples of how you've successfully led teams or projects in the past, focusing on your communication and collaboration skills.
✨Understand Client Engagements
Familiarise yourself with common client challenges in analytics solutions. Be prepared to discuss how you would approach client engagements, drive account growth, and ensure compliance with data regulations.
✨Embrace Innovation
This role is all about driving innovation. Think of creative solutions or new approaches you've implemented in previous roles. Be ready to share these ideas during the interview to show that you can contribute to a dynamic environment.
