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- Tasks: Transform customer data into insights for smarter marketing and personalised experiences.
- Company: Leading automotive e-commerce firm driving digital transformation.
- Benefits: Competitive salary, hybrid work model, and strong focus on diversity and wellbeing.
- Why this job: Join a collaborative team and make a real impact in the automotive marketplace.
- Qualifications: 2-3 years as a Data Scientist with skills in Python, SQL, and digital marketing analytics.
- Other info: Exciting opportunity with excellent career growth in a dynamic environment.
The predicted salary is between 42000 - 60000 £ per year.
Our client is a leading automotive e-commerce and retail organisation, delivering innovative digital solutions that connect buyers and sellers across the vehicle marketplace. Operating at scale and powered by advanced data and technology, they help customers make smarter purchasing decisions while enabling seamless, personalised online experiences. Their established Data Science function plays a central role in shaping commercial strategy and customer engagement across multiple brands.
Join a forward-thinking business at the forefront of automotive digital transformation.
- Work with large, rich datasets that directly influence real customer journeys.
- Be part of a highly experienced and collaborative data science team.
- Hybrid working model offering flexibility and work-life balance.
- Strong commitment to diversity, inclusion, and employee wellbeing.
Our client is seeking a talented Data Scientist – Marketing & Personalisation to join their growing analytics team. In this role, you’ll transform customer behaviour data into actionable insights that drive smarter marketing campaigns and personalised digital experiences. You’ll be involved across the full machine learning lifecycle – from discovery and model development through to deployment and optimisation in production environments.
- Build and enhance machine learning models that support marketing attribution and personalisation.
- Analyse customer journeys to identify insights that improve campaign performance.
- Develop forecasting, segmentation, recommender systems, and econometric models.
- Collaborate closely with digital analytics, marketing, and engineering teams.
- Deploy scalable, production-ready solutions using modern MLOps best practices.
This role is ideal for a curious, collaborative, and impact-driven data scientist who enjoys solving real business problems. You’ll have a strong technical foundation combined with hands-on experience in digital marketing analytics and machine learning.
- 2–3+ years of experience as a Data Scientist within marketing or digital analytics.
- Strong technical skills in Python and SQL.
- Experience with MMM, MTA, forecasting, segmentation, or recommender systems.
- Solid knowledge of statistics, econometrics, and causal inference.
- Familiarity with cloud platforms such as AWS, Azure, GCP, or Databricks.
- Experience deploying models into production using CI/CD and MLOps practices.
- Understanding of the digital marketing ecosystem and customer journey analytics.
Preferred but not essential: experience with A/B testing, API development, and agile development practices.
This Data Scientist – Marketing & Personalisation role is in high demand and won’t be open for long. If you’re excited about using advanced analytics to shape customer experiences and drive real commercial impact, we’d love to hear from you. Please apply today or get in touch for more information.
Data Scientist 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 in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to marketing analytics and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the digital marketing landscape. Be ready to discuss how your experience aligns with the role and how you can contribute to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to make an impact in the data science field.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and any relevant machine learning projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and how you can contribute to our marketing and personalisation efforts. Let us know why you're excited about this opportunity!
Showcase Relevant Projects: If you've worked on projects involving customer journey analytics or machine learning models, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
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’s super easy!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your Data
Make sure you brush up on your knowledge of data science concepts, especially those related to marketing analytics. Be prepared to discuss your experience with machine learning models and how you've used them to drive marketing strategies.
✨Showcase Your Technical Skills
Since the role requires strong technical skills in Python and SQL, be ready to demonstrate your proficiency. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to keep your skills sharp.
✨Understand the Business Context
Familiarise yourself with the automotive e-commerce landscape and how data science plays a role in enhancing customer experiences. Being able to connect your technical skills to real-world business problems will set you apart from other candidates.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the company's data strategy, team dynamics, and how they measure success in their marketing campaigns. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
