At a Glance
- Tasks: Solve business problems using data science and deliver actionable insights.
- Company: Join a global leader in customer data science focused on putting customers first.
- Benefits: Earn up to £75,000 with hybrid working options in London.
- Other info: Opportunity for line management and mentoring within a collaborative environment.
- Why this job: Be part of a dynamic team that drives real impact through data-driven solutions.
- Qualifications: Strong skills in SQL, Python, and data visualisation; experience in modelling techniques required.
The predicted salary is between 54000 - 84000 £ per year.
A great opportunity to join a leading customer data science company as a Senior Marketing Data Scientist.
THE BUSINESS
The business is a global leader in customer data science, empowering businesses to compete and thrive in the modern data-driven economy, always putting the customer first. Enabling businesses to grow and diversify by utilising and understanding data and ensuring the customer is put first.
THE ROLE AND RESPONSIBILITIES
- Understanding business problems, creating data science solutions and delivering insights and recommendations.
- Working directly with clients and helping the team to give recommendations and answer questions.
- Working on projects across clustering, propensity modelling, regression and more.
- Building data visualisations and dashboards for clients.
YOUR SKILLS AND EXPERIENCE
- Strong technical experience in SQL and Python.
- Experience in data visualisation.
- Proven track record working across propensity modelling, clustering, forecasting, regression and more.
- Strong commercial and stakeholder management expertise.
- Line Management/Mentoring experience.
THE BENEFITS
Up to £75,000 Hybrid London.
HOW TO APPLY
If interested in the role please send your CV to Jordan Victor via the Apply Link below.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Marketing Data Scientist in London
✨Tip Number 1
Familiarise yourself with the latest trends in data science, particularly in marketing. Understanding how businesses leverage data for customer insights will help you speak confidently about your potential contributions during interviews.
✨Tip Number 2
Network with professionals in the data science and marketing fields. Attend industry events or webinars to connect with others who may provide insights or even referrals for the role at StudySmarter.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully applied SQL and Python. Be ready to explain your thought process and the impact of your work on business outcomes, as this will demonstrate your hands-on experience.
✨Tip Number 4
Showcase your ability to communicate complex data insights clearly. Practice explaining your previous work to non-technical stakeholders, as this skill is crucial for a Senior Marketing Data Scientist role.
We think you need these skills to ace Senior Marketing Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your technical experience in SQL and Python, as well as your work with data visualisation and modelling techniques. Use specific examples that demonstrate your skills in clustering, propensity modelling, and regression.
Craft a Compelling Cover Letter:Write a cover letter that addresses the key responsibilities of the role. Explain how your background aligns with the company's focus on customer data science and how you can contribute to solving business problems.
Showcase Your Projects:Include details about relevant projects you've worked on, particularly those involving data visualisations and dashboards. Highlight your role in these projects and the impact they had on clients or stakeholders.
Proofread and Edit:Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data-driven role.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your strong technical experience in SQL and Python during the interview. Be prepared to discuss specific projects where you've successfully applied these skills, as this will demonstrate your capability to tackle the data science solutions required for the role.
✨Prepare for Case Studies
Since the role involves understanding business problems and creating data science solutions, be ready to engage in case studies or problem-solving scenarios. Practising how you would approach clustering, propensity modelling, or regression problems can help you articulate your thought process effectively.
✨Demonstrate Stakeholder Management
Given the importance of stakeholder management in this position, prepare examples from your past experiences where you've successfully managed client relationships or collaborated with teams. This will show that you can communicate insights and recommendations clearly and effectively.
✨Discuss Data Visualisation Techniques
As building data visualisations and dashboards is part of the role, be ready to discuss your experience with data visualisation tools. Bring examples of dashboards you've created and explain how they helped clients understand complex data, showcasing your ability to deliver actionable insights.
