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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 values diversity and well-being.
- Why this job: Join a dynamic team and make an impact in large-scale research projects.
- Qualifications: Solid experience in data science, 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) in Reading 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) in Reading
✨Tip Number 1
Network like a pro! Reach out to current employees at Kantar on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and maybe even a referral!
✨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 us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on data science concepts and coding challenges. We can even set up mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match what Kantar is looking for in a Senior Data Scientist.
We think you need these skills to ace Senior Data Scientist - Digital Twins (Production ML) in Reading
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 skills can contribute to our team at Kantar. We love seeing genuine enthusiasm and a good fit for our collaborative environment.
Showcase Your Projects: If you've worked on machine-learning models or any relevant projects, make sure to mention them! We appreciate candidates who can demonstrate their hands-on experience, especially in live production environments.
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 don’t miss out on any important updates from our team. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Kantar
✨Know Your Data Science Fundamentals
Make sure you brush up on your data science fundamentals, 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.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process.
✨Collaborative Mindset is Key
Kantar values collaboration, so be prepared to discuss how you've worked with engineers and operational teams in the past. Share examples of successful projects where teamwork was essential to achieving results.
✨Embrace the Hybrid Working Model
With flexible hybrid working on offer, think about how you can thrive in both remote and in-office settings. Be ready to talk about your experience with remote collaboration tools and how you maintain productivity outside a traditional office environment.