At a Glance
- Tasks: Lead advanced modelling initiatives and deliver insights on marketing effectiveness.
- Company: Fast-growing, data-driven consumer business with a collaborative culture.
- Benefits: Competitive salary, flexible remote work, private healthcare, and generous leave.
- Other info: Dynamic environment with clear opportunities for professional growth.
- Why this job: Shape marketing performance measurement and influence business strategy with data.
- Qualifications: Experience in Marketing Mix Modelling and strong statistical knowledge required.
The predicted salary is between 70000 - 90000 £ per year.
Senior Data Scientist, Marketing
An exciting opportunity to join a fast-growing, data-driven business where marketing measurement sits at the heart of commercial decision-making.
This role offers the chance to own advanced modelling initiatives, influence budget allocation, and shape how marketing performance is measured across the organisation.
The Company
They are a digitally-focused consumer business operating at scale, with a strong commitment to data-led decision making.
Their collaborative culture empowers employees to take ownership of high-impact projects and influence business strategy.
With a modern data stack and a growing analytics function, they offer an environment where experimentation and innovation are actively encouraged.
The Role
- Own and develop the organisation's Marketing Mix Modelling (MMM) framework using modern modelling techniques.
- Deliver actionable insights on marketing effectiveness, media performance, and budget allocation.
- Design and evaluate incrementality testing programmes, including lift studies and geo-based experiments.
- Partner with Marketing teams to improve attribution, measurement, and channel performance.
- Build and maintain Lifetime Value (LTV) models to support acquisition and retention strategies.
- Apply statistical and causal inference techniques to identify growth opportunities and optimise investment decisions.
- Translate complex modelling outputs into clear recommendations for stakeholders.
- Your Skills & Experience
- Strong commercial experience in Marketing Mix Modelling, marketing measurement, or advanced marketing analytics.
- Excellent understanding of experimentation, incrementality testing, and causal inference methodologies.
- Strong statistical knowledge, including hypothesis testing, regression analysis, and experimental design.
- Advanced SQL skills and experience working with Python for analytics and modelling.
- Experience using modern data platforms and cloud-based analytics environments.
- Ability to communicate technical findings effectively to non-technical stakeholders.
- Comfortable working in a fast-paced environment with a high degree of ownership.
- What They Offer
- Salary of £70,000 - £90,000 depending on experience.
- Annual performance-related bonus.
- Flexible working and fully remote UK-based working arrangements.
- Private healthcare and enhanced pension contribution.
- Generous annual leave allowance.
- Opportunities to work on complex data science challenges with direct commercial impact.
- Clear scope for professional growth and progression within a growing data team.
Senior Data Scientist - MMM 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.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - MMM in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Data Scientist - MMM 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!
✨Showcase Your Projects
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.
