GOC | Data Scientist

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.

For more information, visit wppmedia.com.

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Role Summary and Impact 

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment.

We’re looking for a Data Scientist who reports to the Solutions Architect and is responsible for designing, developing & deploying data modelling and automation solutions for a leading client across markets, the portfolio of brands. You should have a strong understanding of the concepts and tools in data enrichment, automation and agentic space. You focus on methodological depth and the correct application of data science techniques. You translate complex business questions into robust data models and automation workflows and work closely with engineers to bring these models into production in a scalable and maintainable way. You'll be part of a team that believes in doing work that matters - for people and the planet, extending this impact directly to our client's strategic objectives. 

What You Will Do

• Actively explore and identify the latest techniques related to DS, ML and automation/agentic techniques.

• Perform hypothesis testing, data preparation and product prototyping based on modern statistical and DS/ML and agentic methods.

• Research, develop and apply DS/ML/agentic models to solve business and clients’ problems effectively.

• Use your knowledge to anticipate, identify, and address data issues related to redundancies, quality, and bias. Apply rigorous data cleaning and preprocessing techniques to ensure high-quality data for modelling.

• Lead data science projects, blending various data science techniques as needed to achieve optimal performance and actionable insights. Continuously explore innovative and novel approaches to improve modelling accuracy and efficiency.

• Collaborate directly with internal analytics and business teams, to understand and document requirements, and deliver data science solutions that meet their specific business needs.

• Monitor data quality, troubleshoot issues, and implement improvements to ensure data reliability.

• Apply your communication, collaboration and emotional intelligence skills to effectively convey complex technical concepts to both technical and non-technical stakeholders. Facilitate cross-functional collaboration with other teams and departments.

Skills and Experience 

If this opportunity looks right for you, we are looking for candidates who have: 

• 3-5 years of experience in in applied data science, analytics, or ML engineering.

• Strong SQL skills and comfort working with large-scale, multi-source data. 

• Experience with version control (Git) and collaborative coding workflows.

• Advanced Python skills, incl. pandas, numpy, scikit-learn, scipy, statsmodels for modelling and analytics. 

• Bachelors or advanced degree in Statistics, Economics, Business, Math, or Sciences is preferred.

• Experience in building and execution of advanced solutions for audience analytics and insights.

• Strong analytic and problem-solving skills, understanding and experience in application of AI methodologies for data manipulation and insight. 

• Experience with data visualization platforms beyond Power BI/Tableau.

• Sufficient knowledge of data governance practices including data QA, general naming taxonomy, data & platform integration, etc. 

• Ability to communicate analytical findings to non-technical stakeholders clearly and impactfully.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include access to internal learning platforms, certifications, and training sessions, life insurance, medical care & sports card in Medicover, funding for English language learning, employee mental health awareness day, and more.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We are committed to offering equal opportunities to all employees, which is why we only establish collaborations based on employment contracts. 

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office two days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Following a detailed review of all applications, we will contact those candidates whose qualifications and stated terms of cooperation most closely align the objectives of our recruitment process.