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- Tasks: Drive marketing decisions with data analysis and predictive modelling to boost growth.
- Company: Join a people-first agency that values diversity and inclusion.
- Benefits: Competitive salary, flexible working, and opportunities for professional development.
- Why this job: Make a real impact by turning complex data into actionable insights.
- Qualifications: 5+ years in data science or marketing science; strong Python or R skills.
- Other info: Collaborative environment focused on innovation and career growth.
The predicted salary is between 36000 - 60000 £ per year.
This role sits at the heart of how marketing decisions get made. You won’t just be reporting on the past; you’ll be hands-on with data to understand what’s driving performance today and, more importantly, what will drive growth tomorrow. You’ll be responsible for building the rigorous thinking that underpins smarter strategy. This means creating models and running deep-dive analyses that turn complex data outputs into clear, actionable recommendations that our clients can actually use to move the needle.
What you will do:
- Build, maintain, and improve predictive and explanatory models covering revenue, demand, media performance, and customer behaviour.
- Support Marketing Mix Modelling (MMM) and attribution work to provide both historical insights and forward-looking forecasts.
- Develop models that answer critical business questions, such as the impact of shifting budgets between channels or how sensitive performance is to pricing changes.
- Create dashboards and recommendations focused on real-world impact.
- Support experimentation and test-and-learn programs to validate model outputs and close the loop between prediction and outcome.
- Partner with Data Engineering to ensure pipelines are reliable, automate repeatable analysis, and maintain high standards for reproducibility.
Requirements:
- You should have at least 5 years of experience in data science, analytics, or marketing science.
- A strong foundation in statistics and forecasting is essential to ensure models are robust and transparent.
- You must have hands-on experience using Python or R for data analysis and modelling.
- Proven ability to build and improve predictive and explanatory models across revenue, demand, and customer behaviour.
- Experience with time-series analysis or causal methods is a significant plus.
- You should be comfortable working with commercial or marketing datasets, including media, ecommerce, CRM, and pricing data.
- You focus on creating outputs that drive impact and decisions rather than just reporting for its own sake.
- You have a demonstrated ability to explain complex analytical findings in simple, non-technical language for stakeholders.
- You value automation, shared frameworks, and high standards of data quality and reproducibility.
Diversity & Inclusion Journey: Further takes pride in creating an environment where everyone can be themselves. This starts with recruitment. We pledge to make our roles as open as possible and to provide equal opportunities to everyone that is kind enough to give us their time. All recruitment decisions we take will be based solely on the positive skills and behaviours that applicants display and absolutely nothing else. We do not discriminate based on any personal characteristic, we are a people first agency and we care about and celebrate individuals. If something is important to you, it's important to us. If you have a particular need during the application process or during your time at Journey Further, please let us know.
Senior Manager, Marketing Science employer: Journey Further Ltd.
Contact Detail:
Journey Further Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager, Marketing Science
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data analysis and modelling abilities. This is a great way to demonstrate your hands-on experience with Python or R and make you stand out.
✨Tip Number 3
Prepare for interviews by practising common questions related to marketing science and data analytics. Be ready to explain complex concepts in simple terms, just like you would to a client. We want to see how you can communicate your findings effectively!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Manager, Marketing Science
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with data science and analytics in your application. We want to see how you've used Python or R to create models and analyses that drive real-world impact, so don’t hold back on those details!
Keep It Clear and Simple: When explaining your past work, remember to keep it straightforward. We love seeing complex findings broken down into simple terms, especially since you'll be communicating with stakeholders who may not have a technical background.
Focus on Impact: We’re all about actionable insights here at StudySmarter. In your application, emphasise how your previous projects have led to tangible results. Show us how you’ve moved beyond just reporting and created recommendations that made a difference.
Apply Through Our Website: Don’t forget to submit your application 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 see what you bring to the table!
How to prepare for a job interview at Journey Further Ltd.
✨Know Your Data Inside Out
Make sure you’re well-versed in the data science and analytics concepts relevant to the role. Brush up on your knowledge of predictive modelling, marketing mix modelling, and time-series analysis. Being able to discuss these topics confidently will show that you’re not just familiar with the theory but can apply it practically.
✨Prepare Real-World Examples
Think of specific instances where you've successfully built or improved models that drove business decisions. Be ready to explain the impact of your work in simple terms, as this will demonstrate your ability to communicate complex findings effectively to stakeholders.
✨Showcase Your Technical Skills
Since hands-on experience with Python or R is crucial, be prepared to discuss your proficiency with these tools. You might even want to bring along a portfolio of your previous work or projects that highlight your analytical skills and how they’ve led to actionable insights.
✨Emphasise Collaboration and Automation
This role involves partnering with Data Engineering, so highlight any past experiences where you’ve worked collaboratively on data pipelines or automated analyses. Discussing your commitment to high standards of data quality and reproducibility will resonate well with the interviewers.
