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- Tasks: Transform customer data into insights and enhance marketing campaigns with machine learning.
- Company: Leading automotive e-commerce company in the UK with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and comprehensive benefits package.
- Why this job: Join a dynamic team and make a real impact in digital marketing analytics.
- Qualifications: 2-3+ years in digital marketing analytics, strong Python and SQL skills required.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading automotive e-commerce company in the UK seeks a Data Scientist – Marketing & Personalisation to join their analytics team. This hybrid role will involve transforming customer behavior data into actionable insights, enhancing machine learning models for marketing campaigns, and collaborating with marketing and engineering teams.
Ideal candidates should have 2–3+ years of experience in digital marketing analytics with strong skills in Python and SQL, and a good understanding of the digital marketing ecosystem. Competitive salary and benefits included.
Data Scientist - Marketing & Personalisation (Hybrid) in London employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Marketing & Personalisation (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data science or marketing roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This is your chance to demonstrate how you can transform customer behaviour data into actionable insights.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of the digital marketing ecosystem. Be ready to discuss how your experience aligns with enhancing machine learning models for marketing campaigns.
✨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 about their job search.
We think you need these skills to ace Data Scientist - Marketing & Personalisation (Hybrid) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills in real-world scenarios, especially in digital marketing analytics.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Data Scientist role. Mention any relevant projects or experiences that align with transforming customer behaviour data into actionable insights.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get straight to the point about why you’re the perfect fit for our team and how you can contribute to enhancing our marketing campaigns.
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 during the process!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your Data
Make sure you brush up on your knowledge of customer behaviour data and how it can be transformed into actionable insights. Be ready to discuss specific examples from your past experience where you've successfully used data to drive marketing decisions.
✨Showcase Your Technical Skills
Since the role requires strong skills in Python and SQL, prepare to demonstrate your proficiency. You might be asked to solve a problem or explain how you've used these tools in previous projects, so have some examples ready that highlight your technical expertise.
✨Understand the Digital Marketing Ecosystem
Familiarise yourself with the latest trends and tools in digital marketing. Being able to discuss how your work as a Data Scientist can enhance marketing campaigns will show that you understand the bigger picture and can collaborate effectively with marketing teams.
✨Prepare for Collaboration Questions
This role involves working closely with both marketing and engineering teams. Think about times when you've collaborated across departments and be prepared to share those experiences. Highlight your communication skills and how you can bridge the gap between data and marketing strategies.
