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- Tasks: Lead data science projects and manage a dynamic team while engaging with stakeholders.
- Company: Global leader in digital services with an inclusive culture.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Innovate in data science and make a significant impact in a collaborative environment.
- Qualifications: Expertise in Azure, Python, ML frameworks, and hands-on MLOps experience.
- Other info: Ideal for mid-senior level candidates seeking leadership roles.
The predicted salary is between 48000 - 72000 £ per year.
A global leader in digital services is seeking a Senior Lead Analyst - Data Science in London. The role emphasizes data science leadership, involving team management and communication with stakeholders.
Candidates should have strong expertise in Azure, Python, and ML frameworks, with hands-on experience in MLOps and model monitoring. This full-time position is ideal for mid-senior level candidates looking to innovate and lead in an inclusive culture.
London Senior Lead Data Scientist - ML & MLOps employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land London Senior Lead Data Scientist - 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 and MLOps. 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 projects in Python and ML frameworks. This is your chance to demonstrate your hands-on experience and innovative ideas to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your leadership and communication skills. Be ready to discuss how you've managed teams and communicated with stakeholders in past roles. We want to see how you can lead in an inclusive culture!
✨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 and engaged with our platform.
We think you need these skills to ace London Senior Lead Data Scientist - ML & MLOps
Some tips for your application 🫡
Showcase Your Expertise: Make sure to highlight your strong expertise in Azure, Python, and ML frameworks right from the start. We want to see how your skills align with the role, so don’t hold back on showcasing your hands-on experience in MLOps and model monitoring!
Tailor Your Application: Take a moment to tailor your application specifically for this role. We love seeing candidates who understand our needs and can communicate how their experience makes them the perfect fit for leading data science initiatives.
Highlight Leadership Skills: Since this role involves team management, be sure to emphasise your leadership skills and any relevant experience you have in managing teams or projects. We’re looking for someone who can inspire and guide others in an inclusive culture.
Apply Through Our Website: 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 Infosys
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure, Python, and the ML frameworks mentioned in the job description. Brush up on your MLOps knowledge and be ready to discuss how you've implemented model monitoring in past projects.
✨Showcase Your Leadership Skills
As a Senior Lead Data Scientist, you'll need to demonstrate your ability to manage teams and communicate effectively with stakeholders. Prepare examples of how you've led teams or projects, focusing on your communication strategies and how you foster an inclusive culture.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and decision-making processes. Think of specific scenarios where you had to innovate or overcome challenges in data science, and be ready to explain your thought process.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current data science projects, team dynamics, or how they measure success in this position. This shows you're genuinely interested and engaged.
