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- Tasks: Join a dynamic team to develop and automate marketing effectiveness models.
- Company: Work with a leading UK retailer expanding globally with exciting new partners.
- Benefits: Earn £450-£480 per day, enjoy flexible work, and kickstart your career immediately.
- Why this job: Be part of a crucial project that shapes marketing strategies across 50+ countries.
- Qualifications: Experience in Python, SQL, and marketing mix modelling is essential.
- Other info: This is a 3-month contract with an immediate start; perfect for ambitious data enthusiasts.
Retail Client
£450-£480 per day outside IR35
Midlands - 1-2 days per week on site
We're working with a leading UK retailer undergoing a major international growth phase, supporting both its core brand and newly acquired high-profile partners. They're looking to bring in an experienced Marketing Data Scientist to help drive forward a business-critical marketing measurement project.
You’ll join a collaborative Marketing & Data Science team focused on rolling out marketing effectiveness models at scale. The business has expanded operations from 30 to 50 countries, with plans to launch in another 30, making measurement and targeting more complex and more important than ever.
Over the past two years, the Data Science function has invested heavily in infrastructure and tooling. Now, they need an expert who can help implement robust, production-ready marketing measurement solutions, with a strong focus on causal inference and marketing mix modelling.
Role & Responsibilities:
- Develop and automate models to measure marketing campaign effectiveness (particularly email) across regions
- Apply causal inference techniques to support hypothesis testing and inform strategic decisions
- Build and refine marketing mix models – the framework is in place but needs deep modelling expertise to finalise and scale
- Collaborate with stakeholders to bring models into production and ensure results are communicated effectively
- Support the team’s use of tools like Robyn (Meta's open-source MMM tool) and Meridian, taking solutions beyond prototype
Skills & Experience:
- Python, SQL, Databricks, PySpark
- Familiarity with Robyn or Meridian
- Dashboarding experience is beneficial
- Proven track record of deploying marketing mix models or causal models into production
- Strong hands-on experience with Python and SQL
Benefits:
£450-£480 per day, outside IR35, 3 month contract, 1-2 days in the Midlands office, immediate start
How to Apply:
Register your interest by sending your CV to Lloyd Dunstall via the Apply link on this page
Marketing Data Scientist - Contract employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Scientist - Contract
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Robyn and Meridian. Having hands-on experience or even a basic understanding of these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the marketing data science field, especially those who have experience in causal inference and marketing mix modelling. Engaging with industry experts can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects where you've deployed marketing mix models or causal models into production. Be ready to explain your approach, the challenges you faced, and the outcomes achieved.
✨Tip Number 4
Showcase your collaborative skills during any interviews or discussions. This role involves working closely with stakeholders, so demonstrating your ability to communicate complex data insights effectively will be crucial.
We think you need these skills to ace Marketing Data Scientist - Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in marketing data science, particularly with causal inference and marketing mix modelling. Use specific examples that demonstrate your expertise in Python, SQL, and any tools like Robyn or Meridian.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are the perfect fit for this role. Mention your experience with deploying marketing models into production and how you can contribute to the company's international growth phase.
Showcase Your Technical Skills: In your application, emphasise your hands-on experience with Python and SQL. If you have worked with Databricks or PySpark, make sure to include that as well, as it is highly relevant to the position.
Highlight Collaboration Experience: Since the role involves working closely with stakeholders, mention any previous experiences where you collaborated with teams to implement data-driven solutions. This will show your ability to communicate effectively and bring models into production.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and SQL during the interview. Be prepared to discuss specific projects where you've used these skills, especially in relation to marketing mix models or causal inference techniques.
✨Understand the Business Context
Familiarise yourself with the retail sector and the challenges of measuring marketing effectiveness across multiple countries. Demonstrating an understanding of how your role can impact the company's international growth will impress the interviewers.
✨Prepare for Practical Scenarios
Expect to be asked about real-world applications of your skills. Prepare to discuss how you would approach developing and automating models for measuring campaign effectiveness, particularly for email marketing.
✨Communicate Effectively
Since collaboration is key in this role, practice explaining complex data science concepts in simple terms. Be ready to discuss how you would communicate results to stakeholders who may not have a technical background.