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- Tasks: Lead data-driven marketing strategies and elevate team standards with your expertise.
- Company: Join a forward-thinking tech company committed to inclusivity and growth.
- Benefits: Enjoy a hybrid work model, competitive salary, and generous holiday allowance.
- Why this job: Make a real impact by transforming data into actionable insights for marketing success.
- Qualifications: Expertise in SQL, Python, and causal inference methodologies required.
- Other info: Be part of a dynamic team with excellent career development opportunities.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Our analytics function is on a mission to evolve from a reactive reporting team into a proactive, value-generating engine, and this role is fundamental to that shift. You will be a key architect of this change, bringing the critical causal inference expertise needed to elevate our team's technical standards and help us generate new, high-value ideas directly from our data.
About the team: Reporting to our Head of Analytics, you will join our central Data Science team, a high-impact group of specialists that functions as an internal centre of excellence. We answer questions like:
- What is the true incremental impact of our TV advertising on car insurance sales?
- How should we reallocate our budget between different marketing channels to maximize ROI?
- What is the true impact of our promotional offers on customer acquisition and retention?
- Which customer segments are most responsive to our marketing efforts and why?
What you’ll be doing:
- Take ownership of a critical, high-value, and high-visibility process that determines our ad spend.
- Design, build, and maintain advanced Marketing Mix Models to inform strategic budget allocation.
- Apply causal inference techniques to measure the incremental impact of specific marketing campaigns and initiatives.
- Partner with senior stakeholders to translate complex model outputs into clear, actionable recommendations for leadership.
- Champion and build greater team autonomy by designing robust, source-controlled data pipelines for marketing data products.
- Mentor and up-skill our wider analytics team in the principles of experimental design and causal inference, helping to level-up the entire team.
What we’re looking for:
- Expert-level SQL and Python skills for large-scale data analysis and model development.
- A deep understanding of causal inference methodologies (e.g., DiD, PSM/IPW) and advanced experimental design (A/B/n testing).
- Proven experience developing and deploying Marketing Mix Models in a commercial environment.
- Strong statistical foundation, ideally including Bayesian methods.
- A passion for building production-quality, source-controlled data products, with data engineering skills to help the team own more of its data pipelines.
- Exceptional stakeholder management and influence, with a demonstrated ability to translate complex quantitative concepts for senior, non-technical audiences.
- An ambassador for data, who can advocate for data-driven decisions across multi-disciplinary teams.
- A growth mindset and a passion for mentoring, with a desire to help raise the entire team's technical standard.
Our commitment to you: At RVU, we are dedicated to developing valuable, inclusive, and user-friendly products and services that deliver positive outcomes for all of our customers. To achieve this it’s essential that our teams reflect the diverse range of people in our community. We believe in being the change we wish to see in the world, by embracing our differences and holding ourselves accountable to being open and inclusive teammates and wider community members.
What we offer: We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to:
- 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance)
- A hybrid working approach with 2 in-office days per week and up to 22 working days per year to “work from anywhere”
- Employer matching pension contributions up to 7.5%
- A one-off £300 “Work from Home” budget to help contribute towards a great work environment at home
- Excellent maternity, paternity, shared parental and adoption leave policy, for those key moments in your life
- 25 days holiday (increasing to 30 days) + 2 days “My Time” per year
- Private medical cover, critical illness cover, dental plans and employee assistance programme
- Free gym access
- Employee discounts programme
- A healthy learning and training budget to support your development
- Electric vehicle and cycle to work schemes
- Regular events - from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected
*As a tech company who strives to get better every day, we use Metaview during the interview processes for note taking purposes. This records and transcribes interviews so the interviewer can fully focus on your conversation, rather than writing. This has no bearing on the assessment of you as a candidate and you can opt out at any time. Just let us know.
Senior Marketing Data Scientist employer: RVU Co UK
Contact Detail:
RVU Co UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Marketing Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can give you insider info and maybe even a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by diving deep into the company’s data strategies. Familiarise yourself with their marketing mix models and causal inference techniques. Show them you’re not just a fit, but the perfect fit!
✨Tip Number 3
Practice your storytelling skills! Be ready to explain complex data concepts in simple terms. This will impress the non-technical stakeholders and show you can bridge the gap between data and decision-making.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our team at StudySmarter!
We think you need these skills to ace Senior Marketing Data Scientist
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expert-level SQL and Python skills in your application. We want to see how you can leverage these tools for large-scale data analysis and model development, so don’t hold back!
Causal Inference is Key: Since this role is all about causal inference methodologies, be sure to mention your experience with techniques like DiD or A/B/n testing. We’re looking for someone who can bring that expertise to the table!
Speak Our Language: When writing your application, use clear and concise language that translates complex concepts into actionable insights. Remember, we need someone who can communicate effectively with senior stakeholders!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at RVU Co UK
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving SQL and Python. Be ready to discuss specific examples where you applied causal inference methodologies or built Marketing Mix Models. This will show your expertise and how you can contribute to their mission.
✨Speak Their Language
Familiarise yourself with the company's goals and the specific challenges they face in marketing analytics. Use terminology from the job description, like 'incremental impact' and 'budget allocation', to demonstrate that you understand their needs and can provide actionable insights.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to marketing data analysis. Practice articulating your thought process clearly, especially when discussing how you would measure the impact of a marketing campaign or reallocate budgets effectively.
✨Showcase Your Mentoring Skills
Since mentoring is a key part of the role, be prepared to share experiences where you've helped others grow in their data skills. Highlight your passion for teaching and how you can elevate the team's technical standards, aligning with their commitment to team autonomy.
