Data Engineer, Global Client Solutions

United States Digital Space LLC; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Health benefits

Job summary

WPP Media in London is seeking a Data Engineer with an interest in ML engineering to join our Global Data Strategy & Insights team. You will work with data scientists and engineers to build, productionize, and optimize ML models, and help shape audiences for media planning across geographies.

You will collaborate across teams to ensure data structures align with client use cases, perform data prep, testing, and contribute to new products and tools in a fast-paced, innovative environment.

Qualifications

• Interest in ML engineering and data science applied to media.
• Ability to work across multiple data sources and teams.
• Strong problem-solving and analytical skills.
• Experience with Python data tooling is preferred.
• Excellent communication with technical and non-technical stakeholders.

Responsibilities

• Clean, process and format large data volumes.
• Improve tools and adapt them for new use cases.
• Test tool functionalities and provide improvement feedback.
• Prepare data for data fusion and trend analysis.
• Develop and maintain Python packages.
• Ingest survey data for insights, planning, modelling and reporting.
• Collaborate with data scientists and engineers.

Skills

Python

Data analysis

Statistical knowledge

Stakeholder management

Team collaboration

Curiosity

Tools

Git

Docker

SQL

R

SPSS

Job description

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 ourpioneeringagentic 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.

For more information, visit the company.com.

2900 – Data Engineer - GCSRole Summary and ImpactAbout WPP Media Global Client Solutions

WPP Media's Global client teams are organised within a centralised squad based in London. A critical part of that is the WPP Media Global 'Strategy and Capabilities' team - a unit of 160 specialists focused on industry leading Strategic Planning, Insights and Innovation, working across WPP's global clients including Nestlé, Coca Cola, Danone, Unilever, AirBnB, Ford, Adidas, IKEA, L'Oreal and more. We operate at the forefront of the industry, collaborating seamlessly across WPP's ecosystem of experts to deliver integrated strategies and drive tangible business outcomes. We believe in the power of media to transform businesses and connect deeply with consumers.

WPP Media is looking for a Data Engineer with interest in machine learning (ML) engineering, as well as the productionisation and optimization of ML models to join our Global Data Strategy & Insights team. While operating within our team you will be asked to use our proprietary and/or client data along with ML techniques to help answer client questions around audiences like: ‘which audience should I be advertising to?’, ‘how should my strategy be different when approaching this audience?’, ‘how is does my media plan need to change across geographies?’. You will also be assisting our team in developing products to help both our global and local teams with day-to-day media planning. This reaches from hypothesis testing, data experiments, and predictive and prescriptive analysis.

In this role, you will have the opportunity to collaborate with other data scientists and engineers (e.g. in our Analytics team) with experience and expertise in a wide range of methodologies, toolkits and applications to a variety of problems in the media landscape. This reaches from data engineering, setting and defining best practices and scaling ML POCs. You will also be collaborating with strategists, insights specialists and non-technical stakeholders to ensure the data structures align with the client use case and specifications.

The ideal candidate would be curious, flexible and passionate about using data science/ML as a tool to understand human behaviour, campaign effectiveness and business dynamics. We are a data agnostic team that believe the key to success is not just having access to different types of data (market research, surveys, online behavioural panels, site data, targeted web-scraping) but finding new, innovative ways to connect and analyse the data we have access to, to deliver real, actionable, insight for our clients.

Key responsibilities for this position include:

• Using data engineering techniques to clean, process and re-format large volumes of data

• Implementing coding changes to our existing tools to improve them or adapt them for different use cases

• Testing functionalities of our various tools and providing feedback on improvements that can be implemented.

• Assisting our Fusion Data Scientist in preparing different types of data for data fusion (incl. mapping variables, recoding data etc.)

• Performing checks on survey data and preparing data for trend analysis

• Develop and maintain a number of our Python packages

• Ingesting survey data into different tools to be used for insights, planning, modelling and reporting (both WPP Media and WPP Data Tech Solutions )

• Assisting in the development of new products/tools

Skills and Experience

• Curiosity, flexibility, problem solving skills, a scientific mindset and an enthusiasm for learning new things are key attributes.

• Fundamentally interested in people - Interested in the world around you and what makes people behave the way they do and how data and research can get you closer to understanding it.

• Able to work well as part of a team – you understand that one person can’t do or know everything and so you are willing to explore alternative routes, even if they are outside your comfort zone.

• Fast learner, with the ability to work across multiple workstreams at once

• Excited by telling stories from information by weaving different sources together into a convincing whole.

• Able to think critically and with curiosity about information sources

• Able to manage multiple stakeholders

Skills we need:

• Strong analytical skills and statistical knowledge, as well as interest in applying them to complex problems

• Competent with Python

• Comfortable manipulating and reshaping data to suit a particular task or tale

• Knowledge of Git

• Able to communicate ideas well, both verbally and written to both technical and non-technical stakeholders

• Knowledge of cloud computing (desirable)

• Knowledge of docker (desirable)

• Exposure to SQL, R, SPSS or other programming languages (desirable)

Life at WPP Media & Benefits

Our passion for shaping the next era of media is powered by our commitment toBe Extraordinary, investing in our employees to inspire transformational creativity. We alsoLead Optimistically,firmly believingin andChampioning Growth and Developmentfor every individual. This commitment allows WPP Media employees toleveragethe extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at thecutting edgeof marketing and advertising.

WeCreate an Open environmentbuilt 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 eventsshowcasingteam 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 whenwe'retogether, fostering creativity, collaboration, and connection in this open and supportive environment.That'swhywe’veadopted a hybrid approach, with teams in the office around four days a week. If yourequireaccommodations 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*

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