Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create engaging content like articles and tutorials for data scientists.
- Company: Leading AI solutions provider in Greater London with a focus on innovation.
- Benefits: Flexible remote work options and the chance to shape content strategy.
- Why this job: Join a dynamic team and make an impact in the data science community.
- Qualifications: Strong writing skills and understanding of data science concepts.
- Other info: Collaborative environment with opportunities for creative expression.
The predicted salary is between 28800 - 48000 £ per year.
A leading AI solutions provider in Greater London is looking for a talented content creator to develop engaging material for data scientists. The role involves generating articles, tutorials, and other forms of content that resonate with a tech-savvy audience.
Applicants should demonstrate strong writing skills, an understanding of data science concepts, and the ability to work effectively in a collaborative environment. This is a unique opportunity to shape the company's content strategy while enjoying flexible remote work options.
Remote Content Scientist for Data-Driven Marketing in London employer: Kortical Ltd.
Contact Detail:
Kortical Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Content Scientist for Data-Driven Marketing in London
✨Tip Number 1
Network like a pro! Reach out to fellow content creators and data scientists on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best articles and tutorials related to data science. This will not only highlight your writing prowess but also demonstrate your understanding of the subject matter.
✨Tip Number 3
Tailor your approach! When reaching out to companies, mention specific projects or content ideas you have in mind for them. This shows initiative and that you've done your homework on their brand.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Remote Content Scientist for Data-Driven Marketing in London
Some tips for your application 🫡
Show Off Your Writing Skills: Make sure your application showcases your writing prowess. Include samples of your previous work that highlight your ability to create engaging content, especially in the realm of data science. We want to see your unique voice and style!
Know Your Data Science: Demonstrate your understanding of data science concepts in your application. Use relevant terminology and examples to show us you’re not just a great writer, but also someone who gets the techy stuff. This will help us see how you can connect with our audience.
Tailor Your Application: Don’t send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Content Scientist role. Highlight your experience in creating content for tech-savvy audiences and how you can contribute to our content strategy.
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 details about the role. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Kortical Ltd.
✨Know Your Data Science Basics
Before the interview, brush up on key data science concepts. Be ready to discuss topics like machine learning, data analysis, and statistical methods. This will show that you not only have strong writing skills but also a solid understanding of the subject matter.
✨Showcase Your Content Creation Skills
Prepare a portfolio of your previous work that highlights your ability to create engaging content for a tech-savvy audience. Include articles, tutorials, or any relevant material that demonstrates your writing style and expertise in data science.
✨Emphasise Collaboration
Since the role involves working in a collaborative environment, be ready to share examples of how you've successfully worked with others in the past. Discuss your experience in team projects and how you’ve contributed to achieving common goals.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s content strategy and future direction. This not only demonstrates your enthusiasm for the role but also gives you valuable insights into their expectations.
