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- Tasks: Lead a team to develop innovative ML solutions and deliver predictive models.
- Company: A leading global technology firm in the UK with an inclusive culture.
- Benefits: Competitive compensation and a supportive work environment.
- Why this job: Make a real impact in the tech world while leading a talented team.
- Qualifications: Over 10 years of experience in Azure ML and Python.
- Other info: Based in London with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading global technology firm in the UK is looking for a Data Scientist to lead a team in developing innovative ML solutions. The ideal candidate will have over 10 years of experience, with expertise in Azure Machine Learning and Python.
Key responsibilities include:
- Managing the data scientist team
- Delivering predictive models
- Collaborating with stakeholders
This full-time role offers competitive compensation and is based in London, promoting an inclusive culture for all employees.
Data Science Lead: ML, Azure & MLOps Leader in London employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Lead: ML, Azure & MLOps Leader in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with ML and Azure. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ML projects, especially those using Azure. 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 soft skills. Practice common data science interview questions and be ready to discuss your experience leading teams and delivering models.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Science Lead: ML, Azure & MLOps Leader in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Machine Learning and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading a team in developing ML solutions. We love seeing enthusiasm and a clear vision for the role.
Showcase Your Leadership Skills: Since this role involves managing a team, make sure to include examples of your leadership experience. We’re looking for someone who can inspire and guide others, so share those success stories!
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. Don’t miss out!
How to prepare for a job interview at Infosys
✨Know Your Stuff
Make sure you brush up on your knowledge of Azure Machine Learning and Python. Be ready to discuss specific projects you've worked on, especially those involving ML solutions. This will show that you not only have the experience but also the hands-on skills needed for the role.
✨Showcase Your Leadership Skills
As a Data Science Lead, you'll be managing a team. Prepare examples of how you've successfully led teams in the past, focusing on collaboration and stakeholder engagement. Highlight any challenges you faced and how you overcame them to deliver results.
✨Understand the Company Culture
Research the company’s values and culture. Since they promote inclusivity, think about how you can contribute to that environment. Be ready to share your thoughts on fostering a diverse team and how it can enhance innovation in ML solutions.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the team dynamics, current projects, and future goals of the data science department. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
