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- Tasks: Uncover insights using advanced statistical methods and design impactful experiments.
- Company: Leading marketing agency focused on data-driven decisions.
- Benefits: Global work opportunities, well-being days, and competitive benefits.
- Why this job: Make a real impact by driving data-informed strategies in a collaborative environment.
- Qualifications: Advanced degree and experience in statistical applications, plus Python or R skills.
- Other info: Join a dynamic team with excellent career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading marketing agency is seeking a Lead Data Scientist to apply cutting-edge statistical methods to uncover insights and drive data-informed decisions. This role involves designing experiments and working collaboratively with teams to present actionable strategies.
Ideal candidates will have advanced degrees and substantial experience in statistical applications, along with proficiency in Python or R.
The position offers great benefits including opportunities for global work and additional well-being days.
Lead Data Scientist — Causal Inference & Uncertainty in London employer: Publicis Groupe UK
Contact Detail:
Publicis Groupe UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist — Causal Inference & Uncertainty in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the marketing and data science fields 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 projects, especially those involving causal inference and statistical methods. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend simulating real interview scenarios with friends or mentors to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Lead Data Scientist — Causal Inference & Uncertainty in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with statistical methods and data science. We want to see how your skills in Python or R can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Lead Data Scientist role. Share specific examples of how you've designed experiments and driven data-informed decisions in previous roles.
Showcase Your Collaboration Skills: Since this role involves working closely with teams, let us know about your collaborative experiences. Highlight any projects where you’ve worked with others to present actionable strategies based on data insights.
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 don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at Publicis Groupe UK
✨Know Your Stats
Brush up on your statistical methods and causal inference techniques. Be ready to discuss how you've applied these in past projects, as the agency will want to see your practical experience in action.
✨Showcase Your Coding Skills
Make sure you're comfortable with Python or R, as these are crucial for the role. Prepare to demonstrate your coding abilities, perhaps by discussing a project where you used these languages to solve a complex problem.
✨Collaborative Mindset
This role involves working closely with teams, so be prepared to talk about your experience in collaborative environments. Share examples of how you've successfully worked with others to design experiments or present strategies.
✨Ask Insightful Questions
Prepare thoughtful questions about the agency's approach to data-driven decisions and their current projects. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
