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For Companies At a Glance
- Tasks: Use advanced Machine Learning and NLP to uncover consumer insights from big data.
- Company: Fast-scaling AI-driven organisation with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on brand growth through data.
- Qualifications: 3+ years of Python experience and a background in Consumer or Marketing Analytics.
- Other info: Exciting opportunity to apply innovative methodologies in a rapidly evolving field.
The predicted salary is between 36000 - 60000 £ per year.
A fast-scaling AI-driven organisation is seeking a Data Scientist to join its growing Data & Innovation team. This hybrid role involves leveraging advanced Machine Learning, NLP, and Computer Vision techniques to extract consumer insights from large, complex datasets.
Candidates should have 3+ years of experience with Python and a strong background in Consumer or Marketing Analytics. A degree in a quantitative field is preferred, with a focus on applying innovative methodologies to drive growth for clients.
Data Scientist – Brand Uplift & Growth (Hybrid) in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Brand Uplift & Growth (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. You never know who might give you a heads-up about an opportunity or refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Machine Learning, NLP, and Computer Vision. This will help us see your practical experience and innovative methodologies in action.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and understanding the company's products. We want to see how you can apply your knowledge to drive growth for clients, so be ready to discuss real-world applications.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our fast-scaling team.
We think you need these skills to ace Data Scientist – Brand Uplift & Growth (Hybrid) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and any relevant projects you've worked on. We want to see how you’ve used advanced techniques like Machine Learning and NLP in real-world scenarios.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Data Scientist role. Mention your background in Consumer or Marketing Analytics and how it aligns with our goals at StudySmarter.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you’re a great fit for this hybrid role and how you can contribute to our Data & Innovation team.
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!
How to prepare for a job interview at Jobster
✨Know Your Data
Make sure you brush up on your knowledge of data science concepts, especially those related to Machine Learning, NLP, and Computer Vision. Be prepared to discuss how you've applied these techniques in past projects, as this will show your practical experience and understanding.
✨Showcase Your Analytical Skills
Prepare examples that highlight your experience in Consumer or Marketing Analytics. Think about specific instances where your insights led to growth for a client. This will demonstrate your ability to leverage data for impactful decision-making.
✨Familiarise Yourself with the Company
Research the organisation's products, services, and recent developments. Understanding their brand and how they use data to drive growth will help you tailor your responses and show genuine interest in the role.
✨Practice Problem-Solving
Expect technical questions or case studies during the interview. Practise solving data-related problems and explaining your thought process clearly. This will not only showcase your technical skills but also your ability to communicate complex ideas effectively.
