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- Tasks: Analyse complex data and collaborate with clients in the media industry.
- Company: Leading market research firm in Greater London with a focus on innovation.
- Benefits: Flexible hybrid working, comprehensive benefits, and professional development opportunities.
- Why this job: Join a dynamic team and make an impact in the media sector.
- Qualifications: 12-18 months experience in data science with strong maths and programming skills.
- Other info: Enjoy a great work-life balance in a supportive environment.
The predicted salary is between 30000 - 40000 £ per year.
A leading market research firm in Greater London is seeking a Junior Data Scientist. This role requires 12 to 18 months of experience with a strong foundation in advanced mathematics and programming. The successful candidate will work on complex data projects and collaborate with clients in the media industry. The position offers flexibility, including hybrid working options, and a comprehensive benefits package highlighting professional development and work-life balance.
Hybrid Junior Data Scientist — Audience Measurement in London employer: Ipsos in the UK
Contact Detail:
Ipsos in the UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Junior Data Scientist — Audience Measurement in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those relevant to audience measurement. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data science. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Hybrid Junior Data Scientist — Audience Measurement in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in advanced mathematics and programming. We want to see how your skills align with the Junior Data Scientist role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the media industry.
Showcase Your Projects: If you've worked on any data projects, whether in school or on your own, make sure to mention them. We’re interested in your problem-solving skills and how you approach complex data challenges, so share your thought process!
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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Ipsos in the UK
✨Brush Up on Your Maths and Programming Skills
Since the role requires a strong foundation in advanced mathematics and programming, make sure you review key concepts and languages relevant to data science. Be prepared to discuss your experience with tools like Python or R, and any statistical methods you've used in past projects.
✨Know the Company and Its Clients
Research the market research firm and its clients in the media industry. Understanding their work and how they use data can help you tailor your answers and show that you're genuinely interested in the role. It also gives you a chance to ask insightful questions during the interview.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and analytical thinking. Practice explaining your thought process clearly and concisely. You might be asked to solve a data-related problem on the spot, so brush up on your coding skills and be ready to demonstrate your approach.
✨Showcase Your Collaboration Skills
As this position involves working with clients and collaborating on complex projects, be ready to share examples of how you've successfully worked in teams. Highlight your communication skills and how you’ve contributed to achieving common goals in previous roles or projects.