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- Tasks: Develop predictive models to optimise media investments and collaborate with marketing experts.
- Company: Leading global data products and technology company in the UK.
- Benefits: Hybrid work model, competitive salary, and opportunities for innovation.
- Why this job: Join a dynamic team and make an impact with data-driven solutions.
- Qualifications: Strong background in machine learning and experience with Python, SQL, and cloud platforms.
- Other info: Focus on innovation and excellent career growth opportunities.
The predicted salary is between 28800 - 48000 £ per year.
A leading global data products and technology company in the UK is seeking a Data Scientist to join their team. The successful candidate will develop and apply predictive models to optimize media investments while collaborating with marketing experts.
Required qualifications include:
- A strong background in machine learning
- Hands-on experience with Python, SQL, and cloud platforms
The role offers a hybrid work model, focusing on innovation and data-driven solutions for clients.
Data Scientist - Media Analytics & Predictive ML on GCP employer: Choreograph LLC
Contact Detail:
Choreograph LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Media Analytics & Predictive ML on GCP
✨Tip Number 1
Network like a pro! Reach out to professionals in the media analytics space 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 predictive models and projects using Python and SQL. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your machine learning concepts and cloud platforms. Practice explaining your thought process and how you've applied these skills in real-world scenarios.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might be perfect for you, and applying directly can sometimes give you a better chance of getting noticed.
We think you need these skills to ace Data Scientist - Media Analytics & Predictive ML on GCP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning, Python, SQL, and cloud platforms. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 you can contribute to our innovative team. Let us know what excites you about this opportunity!
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex data challenges in the past. We love seeing how you approach problems and develop data-driven solutions, especially in a collaborative environment.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Choreograph LLC
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and any cloud platforms you've worked with. Be ready to discuss specific projects where you've applied machine learning techniques, as this will show your hands-on experience.
✨Understand the Media Landscape
Familiarise yourself with current trends in media analytics and how predictive modelling can optimise media investments. This knowledge will help you engage in meaningful conversations with the interviewers about their needs and challenges.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using data. Practice explaining your thought process clearly and logically, as this will demonstrate your analytical skills and ability to collaborate with marketing experts.
✨Showcase Your Innovative Side
Since the role focuses on innovation, think of examples where you've introduced new ideas or solutions in your previous work. Highlighting your creativity will set you apart and align with the company's focus on data-driven solutions.
