At a Glance
- Tasks: Own marketing measurement challenges and develop models for long-term growth.
- Company: A digital business focused on data-driven marketing and customer acquisition.
- Benefits: Salary up to £90,000 and fully remote working within the UK.
- Other info: Collaborate with marketing leaders and leverage AI tools for innovative solutions.
- Why this job: Shape marketing strategies and make a real impact in a growing company.
- Qualifications: Experience in Marketing Mix Modelling and strong skills in SQL and Python.
The predicted salary is between 60750 - 74250 £ per year.
This is an opportunity to take ownership of some of the most commercially important marketing measurement challenges in a growing, data-driven business. You will shape how marketing investment is allocated, influence acquisition strategy, and build the models that drive long-term growth.
The Company
They are a digital business investing heavily in customer acquisition and marketing analytics. With ambitious growth plans and a commitment to data-led decision making, they are looking to significantly increase marketing spend while ensuring every investment is measurable and effective. Their analytics and data science function plays a role in strategic decision making, partnering closely with marketing leadership to optimise performance and identify scalable growth opportunities. The business embraces modern technologies and AI-enabled ways of working to maximise impact across the organisation.
The Role
As a Senior Data Scientist, you will work closely with the Head of Performance Marketing to evaluate marketing effectiveness, improve acquisition efficiency, and support significant budget growth. Key responsibilities include:
- Own and develop the Marketing Mix Modelling (MMM) framework to guide marketing investment decisions
- Analyse channel effectiveness and identify diminishing returns across paid media channels
- Build and maintain Lifetime Value (LTV) models that support acquisition and budgeting decisions
- Measure marketing incrementality through experimentation, lift studies, geo-testing and causal inference techniques
- Translate modelling outputs into clear budget recommendations and commercial actions
- Partner with marketing stakeholders to optimise customer acquisition performance as marketing investment scales
- Develop predictive models and advanced analytics solutions using Python and SQL
- Leverage AI tools to accelerate coding, experimentation and analytical workflows
- Drive best practice across marketing measurement, attribution and performance analytics
Your Skills & Experience
- Strong commercial experience in Marketing Mix Modelling (MMM)
- Experience measuring incrementality and designing marketing experiments
- Expertise in customer lifetime value (LTV) modelling
- Strong understanding of marketing performance, attribution and channel effectiveness
- Advanced SQL and Python skills
- Experience working with Snowflake and dbt
- Strong statistical and causal inference knowledge
- Ability to communicate complex analytical findings to non-technical stakeholders
- Experience partnering closely with performance marketing teams
What They Offer
Salary up to £90,000. Fully remote working within the UK.
Senior Data Scientist - MMM & LTV in London employer: Clearly Jobs Ltd.
Clearly Jobs Ltd. offers an exceptional work environment for the CRM Campaign Automation Lead role, providing a unique opportunity to shape luxury brand communications in a dynamic and innovative setting. Located in Gaydon, employees benefit from a collaborative culture that fosters creativity and professional growth, alongside competitive pay and the chance to work on high-impact projects until August 2027.
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We think this is how you could land Senior Data Scientist - MMM & LTV in London
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We think you need these skills to ace Senior Data Scientist - MMM & LTV in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Clearly Jobs Ltd., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Clearly Jobs Ltd.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Clearly Jobs Ltd.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Clearly Jobs Ltd.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
