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- Tasks: Develop and deploy machine-learning models in live production environments.
- Company: Kantar, a leading research company with a focus on collaboration and diversity.
- Benefits: Flexible hybrid working, competitive salary, 25 days leave, and healthcare options.
- Other info: Collaborative environment that prioritises diversity and well-being.
- Why this job: Join a dynamic team and make an impact in large-scale research projects.
- Qualifications: Solid data science experience, strong Python skills, and knowledge of supervised learning.
The predicted salary is between 60000 - 80000 £ per year.
Kantar in Reading is seeking a Senior Data Scientist to work on live, production environments supporting large-scale research. You will develop and deploy machine-learning models while collaborating with engineers and operational teams. The role requires solid experience in data science with strong Python skills and familiarity with supervised learning techniques.
Kantar offers flexible hybrid working, competitive salary, 25 days leave, and healthcare options. Join us in a collaborative environment that values diversity and well-being.
Senior Data Scientist - Digital Twins (Production ML) employer: Kantar
Contact Detail:
Kantar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Digital Twins (Production ML)
✨Tip Number 1
Network like a pro! Reach out to current employees at Kantar on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine-learning projects, especially those involving Python and supervised learning. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common data science interview questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Kantar team.
We think you need these skills to ace Senior Data Scientist - Digital Twins (Production ML)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and Python skills. We want to see how your background aligns with the role of a Senior Data Scientist, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your expertise in supervised learning techniques can contribute to our team. Let us know what makes you a great fit for Kantar!
Showcase Your Collaboration Skills: Since this role involves working closely with engineers and operational teams, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action, so share those 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 the role. Plus, it’s super easy – just follow the prompts and let us know you’re interested!
How to prepare for a job interview at Kantar
✨Know Your Data Science Fundamentals
Brush up on your data science basics, especially around supervised learning techniques. Be ready to discuss how you've applied these in real-world scenarios, as Kantar will want to see your practical experience and understanding of the concepts.
✨Showcase Your Python Skills
Prepare to demonstrate your Python proficiency. You might be asked to solve a problem or explain your code. Bring examples of your previous work that highlight your coding skills and how you've used Python in production environments.
✨Collaborative Mindset is Key
Since the role involves working closely with engineers and operational teams, be prepared to discuss your experience in collaborative projects. Share examples of how you’ve successfully worked in teams and contributed to achieving common goals.
✨Ask Insightful Questions
Prepare thoughtful questions about Kantar's approach to machine learning and their current projects. This shows your genuine interest in the role and helps you understand if the company culture aligns with your values, especially regarding diversity and well-being.