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- Tasks: Develop and deploy predictive models to optimise media and marketing solutions.
- Company: Leading media collective in the UK with a focus on innovation.
- Benefits: Competitive benefits, hybrid work model, and opportunities for growth.
- Why this job: Join a dynamic team and make an impact in media analytics and marketing.
- Qualifications: Strong background in machine learning, Python, SQL, and Google Cloud tools.
- Other info: Collaborate with industry experts in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading media collective in the UK seeks a Data Scientist to develop and deploy predictive models for optimizing media and marketing solutions. The ideal candidate has a strong background in machine learning, experience with Python, SQL, and Google Cloud tools. You will collaborate with industry experts to analyze data and improve marketing strategies in a fast-paced environment. Competitive benefits and a hybrid work model are offered.
Data Scientist – Media Analytics & ML Ops (GCP) employer: WPP Media
Contact Detail:
WPP Media Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Media Analytics & ML Ops (GCP)
✨Tip Number 1
Network like a pro! Reach out to industry experts on LinkedIn or attend local meetups. We can’t stress enough how valuable personal connections can be in landing that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and projects using Python, SQL, and GCP. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your machine learning concepts and be ready to discuss how you've used data to drive marketing strategies. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist – Media Analytics & ML Ops (GCP)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning, Python, SQL, and Google Cloud tools. We want to see how your skills align with the role, 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 passionate about media analytics and how your background makes you a perfect fit for our team. Let us know what excites you about the role and our company.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've developed or deployed predictive models. We love seeing how you tackle challenges, so share any relevant experiences that demonstrate your analytical prowess!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at WPP Media
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and Google Cloud tools. Brush up on your knowledge of machine learning algorithms and be ready to discuss how you've applied them in past projects. This will show that you’re not just familiar with the tools but can also leverage them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've developed and deployed predictive models. Think about challenges you faced and how you overcame them. This will demonstrate your analytical thinking and ability to adapt in a fast-paced environment.
✨Understand the Media Landscape
Familiarise yourself with current trends in media analytics and marketing solutions. Being able to speak intelligently about the industry will impress your interviewers and show that you’re genuinely interested in the role and its impact.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data science and how they measure success in their media strategies. This not only shows your enthusiasm for the position but also helps you gauge if the company is the right fit for you.
