At a Glance
- Tasks: Develop predictive models and advanced analytics tools for brand monitoring.
- Company: Ipsos, a leading market research company in Greater London.
- Benefits: 25 days annual leave, comprehensive benefits, and professional development opportunities.
- Other info: Exciting opportunity for growth in a collaborative environment.
- Why this job: Join a dynamic team and make an impact on brand health analytics.
- Qualifications: Strong expertise in Python and R, with a degree in data science or statistics.
The predicted salary is between 50000 - 70000 £ 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 employer: Ipsos
Ipsos in Greater London is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration within the NextGen BHT team. Employees benefit from a comprehensive package that includes 25 days of annual leave and ample opportunities for professional development, making it an ideal place for those looking to grow their careers while contributing to impactful brand health analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist for Brand Health Analytics & Market Research
✨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 how you’ve used Python and R in real projects, so make it shine!
✨Tip Number 3
Practice makes perfect! Get ready for 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 love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Scientist for Brand Health Analytics & Market Research
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in Python and R right from the get-go. We want to see how your technical skills can contribute to our brand health analytics!
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect how your experience aligns with the role. We love seeing candidates who take the time to connect their background with what we do.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates!
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 discuss how you approach data analysis and problem-solving. Think of examples where your analytical skills made a significant impact on brand monitoring or market research. This will demonstrate your fit for the NextGen BHT team.
✨Understand the Brand Health Landscape
Familiarise yourself with current trends in brand health analytics and market research. Being able to discuss industry insights will show that you’re not just technically skilled but also understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s projects and goals. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding professional development opportunities.
