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- Tasks: Lead a team to optimise business strategies using advanced data analysis and machine learning.
- Company: A top data insights firm in Greater London with a focus on innovation.
- Benefits: Hybrid work model, flexible arrangements, and a focus on employee wellbeing.
- Why this job: Make a real impact by driving strategic decisions through data insights.
- Qualifications: Extensive experience in Python, SQL, and cloud platforms; strong leadership skills.
- Other info: Join a dynamic team and enhance your career in a supportive environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading data insights firm in Greater London is seeking a Lead Data Scientist to drive business optimisation and lead a team. The role entails utilizing advanced analytical techniques and machine learning expertise to derive insights from complex datasets and guide strategic decisions.
The ideal candidate should have extensive experience with Python, SQL, and cloud platforms and be capable of engaging cross-functional teams. This position offers a hybrid work model and flexible arrangements to enhance employee wellbeing.
Lead Data Scientist — ML, Optimisation & Leadership (Hybrid) in London employer: Kantar Group Limited
Contact Detail:
Kantar Group Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist — ML, Optimisation & Leadership (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best projects, especially those involving Python, SQL, and machine learning. This will help us demonstrate our expertise and make a lasting impression.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions and scenarios related to data science and leadership. We want to be confident and articulate when discussing our experience and vision.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Lead Data Scientist — ML, Optimisation & Leadership (Hybrid) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, SQL, and cloud platforms in your application. We want to see how you've used these skills to drive business optimisation and lead teams in the past.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Lead Data Scientist role. Mention any relevant projects or experiences that align with our focus on advanced analytical techniques and machine learning.
Engage with Us: We love candidates who can engage with cross-functional teams. In your application, share examples of how you’ve collaborated with others to achieve strategic goals. This will show us you’re a great fit for our team!
Apply Through Our Website: For the best chance of success, make sure to apply through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Kantar Group Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and any cloud platforms mentioned in the job description. Be ready to discuss specific projects where you've used these skills, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves leading a team, prepare examples of how you've successfully managed or mentored others. Think about times when you guided a project or helped a colleague improve their skills—this will show your potential employer that you're not just a tech whiz but also a great leader.
✨Understand the Business Context
Research the company and its industry to understand how data science drives their business optimisation. Be prepared to discuss how your insights can help guide strategic decisions and improve their operations. This shows that you’re not just focused on the technical side but also on delivering real value.
✨Engage with Cross-Functional Teams
Think about your experiences working with different teams and how you communicated complex data insights to non-technical stakeholders. Prepare to share examples of how you’ve collaborated across departments, as this is crucial for the role and will demonstrate your ability to engage effectively with others.
