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For Companies At a Glance
- Tasks: Develop advanced models and translate data into actionable insights for business growth.
- Company: Join a boutique premium performance marketing agency focused on data-driven strategies.
- Benefits: Enjoy a competitive salary and flexible working in a growing team.
- Why this job: Be part of a dynamic team that values innovation and impactful data analysis.
- Qualifications: Strong Python skills and experience in modelling are essential; agency background preferred.
- Other info: This role is based in London, requiring UK residency.
The predicted salary is between 42000 - 65000 £ per year.
Job Description
SENIOR MARKETING SCIENTIST
£50,000 – £65,000
LONDON – 3X A WEEK
*Please note, this company is unable to sponsor, and you must be a UK resident to apply*
THE COMPANY
This boutique premium performance marketing agency is a super data-driven organisation, currently going through a growth phase and are expanding its marketing science team.
THE ROLE
This client is looking for a data-driven professional with expertise in Modelling, Data Science, and Data Visualisation to join our team. The role involves developing advanced models including LTV, propensity, attribution, and MMM to support business growth and media strategies. You'll translate complex data into actionable insights through clear, practical outputs that inform key decisions. Additionally, you'll design impactful BI dashboards, define effective reporting strategies for stakeholders, and ensure analytics tools like GA4 and Adobe Analytics are configured to capture meaningful data.
SKILLS + EXPERIENCE
- Strong Python experience for modelling is a must
- Experience in 2 out of the 3: propensity modelling, attribution modelling and MMM (Market mix modelling)
- Ideally you will come from an agency background
HOW TO APPLY
If this sounds like the role for you, swiftly send over your CV to Izzi at Harnham by using the link below.
Senior Marketing Scientist employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Marketing Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in marketing science, particularly in areas like LTV and attribution modelling. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the marketing science community, especially those who work in agencies. Attend relevant meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully used Python for modelling. Be ready to explain your thought process and the impact of your work on business outcomes.
✨Tip Number 4
Showcase your ability to translate complex data into actionable insights by preparing a portfolio of your previous work. Highlight any BI dashboards or reporting strategies you've developed that led to significant improvements.
We think you need these skills to ace Senior Marketing Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Marketing Scientist position. Familiarise yourself with key terms like LTV, propensity modelling, and data visualisation.
Tailor Your CV: Customise your CV to highlight relevant experience in Python, modelling, and data science. Emphasise any previous work in an agency setting and showcase specific projects that demonstrate your skills in developing advanced models.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the job description. Discuss your passion for data-driven marketing and how your expertise can contribute to the company's growth. Be sure to mention your familiarity with analytics tools like GA4 and Adobe Analytics.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. 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 Data Skills
Be prepared to discuss your experience with Python and how you've used it for modelling in previous roles. Bring examples of projects where you've developed advanced models like LTV or attribution, as this will demonstrate your expertise.
✨Understand the Company’s Focus
Research the boutique premium performance marketing agency and understand their data-driven approach. Familiarise yourself with their services and how they leverage data science to drive business growth, as this will help you align your answers with their goals.
✨Prepare for Technical Questions
Expect technical questions related to propensity modelling, attribution modelling, and market mix modelling. Brush up on these concepts and be ready to explain them clearly, as well as how you've applied them in real-world scenarios.
✨Demonstrate Your Communication Skills
Since the role involves translating complex data into actionable insights, practice explaining your past work in a way that is easy to understand. Highlight your ability to create impactful BI dashboards and effective reporting strategies for stakeholders.
