Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Solve complex business challenges using data and deliver actionable insights.
- Company: Join a global leader in customer data science driving growth through advanced analytics.
- Benefits: Enjoy a salary up to £75,000 and a hybrid working model.
- Other info: Opportunity to mentor junior team members and influence marketing strategies.
- Why this job: Make a measurable impact while collaborating with industry-leading clients in a dynamic environment.
- Qualifications: Strong coding skills in SQL and Python, plus experience in data visualisation and modelling techniques.
The predicted salary is between 45000 - 75000 £ per year.
Job Title: Senior Marketing Data ScientistSalary: Up to £75,000Location: West London (Hybrid)The CompanyJoin a global leader in customer data science that helps businesses unlock the power of data to drive growth, innovation, and customer-centric decision making. With a strong focus on actionable insights, this company supports a wide range of clients in transforming their marketing strategies through advanced analytics and data science.The RoleAs a Senior Marketing Data Scientist, you’ll play a critical role in solving complex business challenges through data. From shaping the problem to delivering data-driven solutions and insights, you\’ll collaborate closely with clients and internal stakeholders to drive measurable impact. Projects span a range of advanced analytics including propensity modelling, clustering, regression, and forecasting.Key ResponsibilitiesTranslate business problems into data science solutions and deliver clear, actionable insights.Collaborate directly with clients, answering key questions and influencing strategy.Work across a variety of modelling techniques including clustering, regression, and propensity modelling.Develop compelling data visualisations and dashboards to communicate findings.Provide mentorship or line management to more junior team members.Your Skills & ExperienceStrong coding ability in SQL and Python.Solid experience in data visualisation (e.g. Power BI, Tableau, or similar).Proven background in applying techniques like propensity modelling, clustering, regression, and forecasting.Commercially minded with excellent stakeholder management skills.Experience leading or mentoring others is a plus.BenefitsSalary up to £75,000Hybrid working model (London office)Work with industry-leading clients in a data-driven, forward-thinking environment
Senior Marketing Data Scientist employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Marketing Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in marketing data science. Understanding current methodologies and tools, especially in SQL and Python, will help you stand out during discussions with our team.
✨Tip Number 2
Prepare to showcase your experience with data visualisation tools like Power BI or Tableau. Having a portfolio of your previous work can demonstrate your ability to communicate complex insights effectively.
✨Tip Number 3
Brush up on your stakeholder management skills. Be ready to discuss how you've influenced strategy in past roles, as collaboration with clients is key to success in this position.
✨Tip Number 4
Think about examples where you've mentored others or led projects. Highlighting your leadership experience can set you apart, especially since we value mentorship within our teams.
We think you need these skills to ace Senior Marketing Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with SQL and Python. Emphasise any projects where you've used advanced analytics techniques like propensity modelling or clustering.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data science and how your skills align with the company's mission to drive customer-centric decision making. Mention specific examples of how you've influenced strategy through data insights.
Showcase Your Data Visualisation Skills: Include examples of your data visualisation work in your application. If possible, provide links to dashboards or reports you've created using tools like Power BI or Tableau to demonstrate your ability to communicate findings effectively.
Highlight Mentorship Experience: If you have experience mentoring or leading junior team members, make sure to mention this in your application. It shows your leadership potential and ability to collaborate within a team, which is important for this role.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Be prepared to discuss your coding abilities in SQL and Python. Bring examples of past projects where you've applied these skills, especially in data visualisation tools like Power BI or Tableau.
✨Demonstrate Problem-Solving Abilities
Expect to be asked about how you approach complex business challenges. Prepare to explain your thought process in translating business problems into actionable data science solutions.
✨Highlight Collaboration Experience
Since the role involves working closely with clients and stakeholders, share specific examples of how you've successfully collaborated in the past. Emphasise your stakeholder management skills and how you've influenced strategy.
✨Prepare for Mentorship Questions
If you have experience mentoring or leading junior team members, be ready to discuss this. Share your approach to mentorship and how you've helped others grow in their roles.