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- Tasks: Lead AI and data science projects, turning innovative ideas into scalable products.
- Company: A top-tier AI-native marketing data business with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a diverse team and make a real impact in the AI and data science field.
- Qualifications: Strong data science background, cloud platform experience, and Python proficiency.
- Other info: Dynamic environment where creativity and innovation are encouraged.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI-native marketing data business seeks a dynamic Lead Data Scientist to build and lead AI and data science solutions. You will collaborate with executive teams to innovate and scale AI-led projects, translating AI concepts into scalable products. The ideal candidate will have a strong background in data science, experience with cloud platforms, and proficiency in Python. Join a diverse team in a hybrid work environment where innovation thrives.
Senior AI & ML Lead Data Scientist employer: Kantar Group Limited
Contact Detail:
Kantar Group Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI & ML Lead Data Scientist
✨Tip Number 1
Network like a pro! Reach out to connections in the AI and data science field. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI and ML projects. Whether it’s GitHub repos or case studies, let your work speak for itself. This is your chance to shine and demonstrate your expertise in Python and cloud platforms.
✨Tip Number 3
Prepare for interviews by brushing up on common data science scenarios. Think about how you’d tackle real-world problems using AI solutions. Practice explaining complex concepts in simple terms – it’s all about translating those ideas into scalable products!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates. Let’s get you that dream job together!
We think you need these skills to ace Senior AI & ML Lead Data Scientist
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with data science and AI in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your Python prowess and cloud platform experience!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experiences to what we’re looking for in a Senior AI & ML Lead Data Scientist.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and skills shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our innovative team!
How to prepare for a job interview at Kantar Group Limited
✨Know Your AI & ML Stuff
Brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss your previous projects, especially those that involved scaling AI solutions or translating complex concepts into practical applications.
✨Showcase Your Cloud Skills
Since cloud platforms are key for this role, make sure you can talk about your experience with them. Prepare examples of how you've used cloud services to enhance data science projects, and be ready to discuss any challenges you faced and how you overcame them.
✨Python Proficiency is a Must
As Python is crucial for this position, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data manipulation tasks beforehand to show off your expertise.
✨Emphasise Collaboration and Innovation
This role involves working closely with executive teams, so highlight your teamwork and leadership experiences. Share examples of how you've fostered innovation in past roles and how you can contribute to a diverse team in a hybrid work environment.
