At a Glance
- Tasks: Design and build advanced analytical solutions that drive brand growth.
- Company: Join a certified Great Place to Work with a vibrant culture.
- Benefits: Up to £65,000 salary, bi-annual bonuses, and remote work options.
- Other info: Fast-paced environment with excellent career development opportunities.
- Why this job: Make a real impact on marketing strategies for top brands.
- Qualifications: 4-5 years in data science, strong SQL and Python skills required.
The predicted salary is between 60000 - 65000 £ per year.
You'll design and build advanced analytical and machine learning solutions that directly impact the growth strategies of brands including the Financial Times, MyProtein and The Independent. As a senior individual contributor, you will own the end-to-end data science lifecycle — from problem framing with clients through to model deployment and insight activation. This is a pivotal role for an experienced data scientist ready to drive real-world business outcomes across growth marketing, CRM, media optimisation, and beyond.
We understand that no one can do everything — this role spans a wide remit. We're looking for someone with deep skills in some areas and genuine interest in developing others. The scope of the role will flex depending on your strengths.
What You'll Do
- Develop LTV, propensity and attribution models to support growth, customer experience, and paid media
- Design, build and validate statistical and ML models end-to-end, including feature engineering, model selection, evaluation and iteration
- Build MMM and bespoke models in response to client needs
- Apply forecasting, clustering, NLP and causal inference techniques where appropriate
- Ensure outputs are practical, explainable and drive business decisions
- Own model deployment and monitoring in cloud environments (GCP, AWS or similar), ensuring models remain robust in production
- Define reporting strategies for stakeholders — who needs what, when, and why
- Design high-impact BI dashboards that bring clarity and insight
- Deliver recommendations that are both data-rich and action-focused
- Configure analytics tools such as GA4 and Adobe Analytics to track the right data
- For smaller clients: centralise and clean marketing data using proprietary tools
- For larger clients: manage ETL processes and build scalable, clean tables
- Lay strong data foundations to enable analytics, reporting and modelling
- Write production-quality SQL and Python for data pipelines, transformations and model inputs
- Deploy and maintain models using GCP, AWS or similar; familiarity with MLOps tooling (e.g. Vertex AI, MLflow) a plus
Consulting & Client Management
- Serve as a trusted analytical partner to senior client stakeholders, translating complex data science outputs into clear business recommendations
- Translate analysis into actionable guidance for media, CRO, CRM and creative
- Lead insight and trading meetings with clients, owning the narrative and driving decisions
- Proactively identify analytical opportunities within client accounts and shape the roadmap for data science work
- Help teams across In Digital and our clients make better, more data-informed decisions
What We're Looking For
- 4-5+ years' post-graduate industry experience in a data science (or similar) role, with a minimum of 1 year working on Marketing Mix Modelling (MMM)
- Strong data science foundations: statistics, machine learning, experimentation and model evaluation
- Solid experience in at least three of the key responsibility areas above
- Expert-level SQL and Python (pandas, scikit-learn, statsmodels or similar); R also welcome, plus BigQuery or Snowflake
- Proficient in BI tools like Looker, Tableau or Power BI
- Deep understanding of marketing data infrastructure and data collection best practices
- Proven ability to manage senior client relationships and present complex analytical work with confidence and clarity
- Excellent communication and stakeholder management skills
Bonus Points For
- Experience in media, CRO, CRM or creative optimisation
- Familiarity with mobile attribution tools such as AppsFlyer or Adjust
- Background in an agency or consulting environment
- Experience with causal inference, geo experiments or incrementality testing
- Familiarity with MLOps tooling and model versioning (e.g. MLflow, Vertex AI)
Why In Digital
- Up to £65,000 DOE with a twice-yearly bonus
- Work across blue-chip marketing teams and a fast-growth agency at the same time
- Certified Sunday Times Great Place to Work 2025 Small Company
- Extra fast learning & development across a broad range of skillsets
- Training & development through courses, mentoring and hands-on execution
- Ample opportunity for career development and salary progression
- Bi-annual bonuses for all employees
- A brilliant workplace set over three floors in the heart of Covent Garden with our own cocktail bar & roof terrace, great coffee, snacks and discounts on local shops
- One week per year of "work from abroad" allowance in addition to holiday allowances
- Subsidised gym & sports memberships
- A range of other benefits, including regular team lunches, events, charity days, sporting activities
Marketing Data Scientist employer: In Digital
In Digital is an exceptional employer, offering a dynamic work environment in the heart of Covent Garden, where creativity and analytical prowess thrive. With a strong focus on employee growth through training, mentoring, and ample career progression opportunities, we foster a culture that values collaboration and innovation. Enjoy competitive salaries, bi-annual bonuses, and unique perks like a cocktail bar, roof terrace, and the flexibility to work from abroad, making it a truly rewarding place to advance your career as a Marketing Data Scientist.
StudySmarter Expert Advice🤫
We think this is how you could land Marketing Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like In Digital!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Marketing Data Scientist at In Digital.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like In Digital.
✨Apply Directly through Our Website
When you find a suitable opening like Marketing Data Scientist at In Digital, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Marketing Data Scientist
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 In Digital, 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 In Digital. 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 In Digital
✨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 In Digital!
✨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.
