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- Tasks: Manage client relationships and present data analyses while developing innovative data science solutions.
- Company: Global communications firm with a vibrant team culture in London.
- Benefits: Permanent position with opportunities for innovation and collaboration.
- Why this job: Join a dynamic team and make an impact through data-driven decision making.
- Qualifications: Strong background in econometric modelling and coding skills in R and Python.
- Other info: Ideal for those passionate about marketing science and analytics.
The predicted salary is between 36000 - 60000 £ per year.
A global communications firm is seeking a Marketing Science Manager with a strong background in econometric modelling and at least two years of relevant experience. The position involves managing client relationships, presenting data analyses, and developing new data science solutions within a vibrant team based in London.
Candidates should possess excellent coding skills in R and Python as well as outstanding communication abilities. This permanent position emphasizes innovation and data-driven decision making, offering a collaborative environment.
Lead Marketing Science & Analytics in London employer: Havas Group
Contact Detail:
Havas Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Marketing Science & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your econometric modelling projects and data analyses. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by rehearsing common questions related to marketing science and analytics. Make sure you can confidently explain your coding skills in R and Python, as well as your approach to client relationships.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our vibrant team. Tailor your application to highlight how your experience aligns with our focus on innovation and data-driven decision making.
We think you need these skills to ace Lead Marketing Science & Analytics in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding skills in R and Python right from the start. We want to see how you can use these tools to drive data-driven decisions, so don’t hold back on showcasing your experience!
Tailor Your Application: Take a moment to customise your application for this role. Mention your experience with econometric modelling and how it relates to the position. We love seeing candidates who take the time to connect their background with what we’re looking for.
Communicate Clearly: Since communication is key in this role, make sure your application is clear and concise. Use straightforward language to explain your past experiences and how they’ve prepared you for this position. We appreciate clarity!
Apply Through Our Website: Don’t forget to apply 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 vibrant team in London!
How to prepare for a job interview at Havas Group
✨Brush Up on Econometric Modelling
Make sure you’re well-versed in econometric modelling techniques. Be prepared to discuss your previous projects and how you applied these methods to solve real-world problems. This will show your depth of knowledge and practical experience.
✨Showcase Your Coding Skills
Since coding in R and Python is crucial for this role, be ready to demonstrate your proficiency. You might be asked to solve a coding problem or explain your approach to data analysis. Practise common coding challenges beforehand to boost your confidence.
✨Prepare for Client Relationship Scenarios
Think about your past experiences managing client relationships. Prepare examples that highlight your communication skills and how you’ve successfully navigated challenges with clients. This will help you illustrate your ability to build rapport and trust.
✨Emphasise Innovation and Collaboration
This role values innovation, so come equipped with ideas on how you can contribute to the team’s success. Discuss any previous experiences where you’ve collaborated on data-driven solutions, showcasing your ability to work within a vibrant team environment.
