At a Glance
- Tasks: Create predictive models and advanced analytics tools for brand monitoring.
- Company: Ipsos, a leading market research company in Greater London.
- Benefits: 25 days annual leave, professional development, and a comprehensive benefits package.
- Other info: Exciting opportunities for growth in a collaborative environment.
- Why this job: Join a dynamic team and make a real impact on brand health analytics.
- Qualifications: Expertise in Python and R, with a degree in data science or statistics.
The predicted salary is between 50000 - 65000 £ per year.
Ipsos in Greater London is seeking a Data Scientist to join our NextGen BHT team. This role involves developing predictive models and advanced analytics tools to enhance brand monitoring.
The successful candidate will have strong expertise in Python and R, with a technical degree in data science or statistics.
We offer a comprehensive benefits package, including 25 days annual leave and professional development opportunities.
Data Scientist for Brand Health Analytics & Market Research in London employer: Ipsos
Ipsos in Greater London is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the NextGen BHT team. With a strong commitment to employee growth, we provide extensive professional development opportunities alongside a generous benefits package, including 25 days of annual leave, making it an ideal place for data scientists looking to make a meaningful impact in brand health analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist for Brand Health Analytics & Market Research in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Ipsos on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your predictive models and analytics tools. We want to see your Python and R expertise in action, so make it visually appealing and easy to understand.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your data science concepts. We recommend doing mock interviews with friends or using online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive job postings that you won’t find anywhere else, so keep an eye out!
We think you need these skills to ace Data Scientist for Brand Health Analytics & Market Research in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in Python and R in your application. We want to see how you can use these tools to develop predictive models and advanced analytics, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for the Data Scientist role. Mention specific experiences that relate to brand health analytics and market research to show us you’re the perfect fit.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity with Ipsos.
How to prepare for a job interview at Ipsos
✨Know Your Tools Inside Out
Make sure you’re well-versed in Python and R, as these are crucial for the role. Brush up on your coding skills and be ready to discuss specific projects where you've used these languages to develop predictive models or analytics tools.
✨Showcase Your Analytical Mindset
Prepare to talk about your approach to data analysis and problem-solving. Think of examples where you've successfully tackled complex data challenges, and be ready to explain your thought process clearly and logically.
✨Understand Brand Health Metrics
Familiarise yourself with key brand health metrics and how they relate to market research. Being able to discuss how your work can impact brand monitoring will show that you understand the bigger picture and are genuinely interested in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the NextGen BHT team and Ipsos' approach to brand health analytics. This not only shows your enthusiasm but also helps you gauge if the company culture and values align with yours.
