Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team of data scientists to build predictive models and deliver innovative solutions.
- Company: A leading global technology consulting firm with a focus on diversity and inclusion.
- Benefits: Competitive compensation package and opportunities for professional growth.
- Why this job: Make an impact by leveraging Azure ML and MLOps in a dynamic environment.
- Qualifications: Strong skills in Azure Machine Learning, Python, and team leadership.
- Other info: Join a diverse team and drive innovation in data science.
The predicted salary is between 43200 - 72000 £ per year.
A leading global technology consulting firm is seeking a Senior Lead Analyst - Data Scientist in London. The role involves leading a team of data scientists, building predictive models, and engaging with stakeholders to deliver innovative solutions.
Ideal candidates will possess strong skills in Azure Machine Learning and Python, with a focus on MLOps.
This opportunity offers a competitive compensation package and a commitment to diversity and inclusion.
Senior Lead Data Scientist – Azure ML & MLOps in London employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Data Scientist – Azure ML & MLOps in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Azure ML 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 predictive models and projects using Python and Azure ML. 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. Be ready to discuss how you've led teams and engaged with stakeholders to deliver innovative solutions.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and passionate about joining our team. Plus, it makes tracking your application super easy!
We think you need these skills to ace Senior Lead Data Scientist – Azure ML & MLOps in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure ML and MLOps. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data science and how you can lead a team effectively. Be sure to mention any innovative solutions you've delivered in the past.
Showcase Your Team Leadership Skills: As a Senior Lead Data Scientist, we’re looking for someone who can inspire and guide a team. Share examples of how you’ve successfully led teams or projects, and how you engage with stakeholders to drive results.
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 Tech Inside Out
Make sure you’re well-versed in Azure Machine Learning and Python. Brush up on your MLOps knowledge too, as you’ll likely be asked to discuss how you’ve implemented these technologies in past projects.
✨Showcase Your Leadership Skills
As a Senior Lead Data Scientist, you’ll need to demonstrate your ability to lead a team. Prepare examples of how you’ve successfully managed teams, mentored junior data scientists, or led projects to completion.
✨Engage with Stakeholders
Be ready to talk about your experience working with stakeholders. Think of specific instances where you’ve translated complex data insights into actionable strategies for non-technical audiences.
✨Diversity and Inclusion Matters
Since the company values diversity and inclusion, be prepared to discuss how you’ve contributed to creating an inclusive environment in your previous roles. This could be through mentoring, promoting diverse hiring practices, or fostering a collaborative team culture.
