Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team of data scientists and ML engineers to build predictive models.
- Company: Join a leading global digital services firm with a dynamic work culture.
- Benefits: Enjoy competitive compensation and a vibrant work environment.
- Why this job: Make an impact in AI leadership while mentoring the next generation of data scientists.
- Qualifications: Proven experience in data science leadership and expertise in Azure ML and Python.
The predicted salary is between 54000 - 84000 £ per year.
A leading global digital services firm is seeking a Senior Lead Analyst - Data Scientist to lead and mentor a team of data scientists and ML engineers in London. The ideal candidate will have proven experience in data science leadership, expertise in Azure Machine Learning, Python, and MLOps.
Responsibilities include:
- Building predictive models
- Managing teams
- Engaging with stakeholders to develop technical solutions
The role offers a competitive compensation package in a dynamic work environment.
Senior Lead Data Scientist: ML Ops & AI Leadership in London employer: Infosys Limited
Contact Detail:
Infosys Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Data Scientist: ML Ops & AI Leadership in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work at companies you're interested in. A friendly chat can lead to insider info and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Azure Machine Learning and MLOps. 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 technical knowledge and leadership skills. Be ready to discuss how you've led teams and tackled complex data challenges in the past.
✨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 Senior Lead Data Scientist: ML Ops & AI Leadership in London
Some tips for your application 🫡
Show Off Your Leadership Skills: Since we're looking for someone to lead and mentor a team, make sure your application highlights your experience in data science leadership. Share specific examples of how you've guided teams or projects in the past.
Get Technical with Your Skills: We want to see your expertise in Azure Machine Learning, Python, and MLOps shine through. Don’t just list these skills; explain how you’ve used them in real-world scenarios to build predictive models or solve complex problems.
Engage with Stakeholders: This role involves working closely with stakeholders, so it’s important to demonstrate your communication skills. Include examples of how you've successfully engaged with different teams or clients to develop technical solutions.
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. Plus, it makes the process smoother for everyone!
How to prepare for a job interview at Infosys Limited
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure Machine Learning and Python. Be ready to discuss specific projects where you've applied these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading teams and mentoring others. Think about how you've fostered collaboration among data scientists and ML engineers, and be ready to share your approach to team management.
✨Engage with Stakeholders
Since the role involves engaging with stakeholders, practice articulating how you translate technical concepts into business value. Prepare to discuss how you've previously worked with non-technical teams to develop solutions that meet their needs.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think through potential challenges in ML Ops and how you would address them, demonstrating your strategic thinking and technical expertise.
