Data Scientist

Data Scientist

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Leverage data analytics and machine learning to optimise advertising campaigns and media strategies.
  • Company: Join WPP Media, a leader in AI-driven marketing solutions.
  • Benefits: Enjoy competitive pay, extensive benefits, and a supportive work culture.
  • Other info: Collaborative environment with opportunities for professional growth and learning.
  • Why this job: Make a real impact on clients' growth through innovative data-driven insights.
  • Qualifications: Proficiency in Python or R, strong analytical skills, and a passion for data science.

The predicted salary is between 63000 - 77000 £ per year.

About WPP Media

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world‑class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.

Role Summary and Impact

The Data Scientist role is a key role within the Marketing Science team. In this role, you will apply data-driven insights and advanced analytics to help optimise our clients’ advertising campaigns and media strategies. The Marketing Science team is responsible for accelerating our clients’ growth by integrating data and analytics into marketing decision making; applying scientific rigour to marketing theory to generate data driven insight, capabilities, and consultancy.

Specifically, the Data Science team are a team of data practitioners who are passionate about the applications of data science within the field of marketing to make advertising better for brands and consumers; driving effective outcomes in the most sustainable way possible. They bring data to life in scientific ways to provide insight, recommendations and innovations relating to client marketing strategies from planning, audience, optimisation and measurement.

Your primary objective will be to leverage data analytics and machine learning techniques to drive measurable improvements in our clients’ advertising campaigns. You will contribute to the development of data-driven solutions that optimise media spend, enhance audience targeting, and increase overall campaign effectiveness. Your work will directly impact our agencies ability to deliver superior results for our clients in the competitive digital advertising landscape.

Responsibilities

  • Develop and maintain media buying optimization algorithms through AI and ML to drive greater campaign outcomes against an array of KPIs.
  • Create audience segmentation and addressability models to enhance targeting precision across multiple targeting keys.
  • Generate actionable campaign insights from complex datasets to improve campaign planning through actionable insights.
  • Implement yield management strategies to maximise supply utilisation across the addressable TV portfolio.
  • Build and refine forecasting models for campaign performance for multiple channels.
  • Design and analyse A/B tests to improve campaign effectiveness measurement.
  • Assist in developing robust campaign measurement methodologies.

Skills & Experience

  • Proficiency in Python or R for data analysis and modelling.
  • Strong understanding of statistical concepts and machine learning algorithms.
  • Experience with SQL and data manipulation techniques.
  • Familiarity with data visualization tools (e.g., Tableau, PowerBI).
  • Knowledge of digital advertising concepts and metrics.
  • Knowledge of marketing analytics and attribution models (desired).
  • Understanding of programmatic advertising ecosystems (desired).
  • Working knowledge of econometrics modelling (MMM) to understand a client’s media plan performance against short and long term metrics (preferred).
  • Strong analytical and problem‑solving skills.
  • Excellent communication skills to present findings to non‑technical stakeholders.
  • Ability to work collaboratively in a fast‑paced environment.
  • Keen attention to detail and commitment to data quality.
  • Curiosity and eagerness to learn new technologies and methodologies.

Life at WPP Media & Benefits

Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising.

We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in‑office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events.

Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we've adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please note that while our philosophy is the same across WPP, benefits may vary by office/country. Please note this is a UK based role and requires individuals to have the right to work in this location.

Data Scientist employer: wppmedia

WPP Media is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for the Regional Paid Social Director to thrive. With a commitment to employee growth through unique partnerships like OpenDoor with Amazon, WPP offers unparalleled opportunities for professional development in a dynamic environment. Located in London, employees benefit from a vibrant city atmosphere while working on transformative projects that challenge the status quo and drive impactful results.

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Contact Details:

wppmedia Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land 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 wppmedia!

Show Off Your Projects

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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 wppmedia.

Apply Directly through Our Website

When you find a suitable opening like Data Scientist at wppmedia, 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 Data Scientist

Python
R
Statistical Concepts
Machine Learning Algorithms
SQL
Data Manipulation Techniques
Data Visualization Tools

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 wppmedia, 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 wppmedia. 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 wppmedia

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 wppmedia!

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.