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WPP

Data Scientist Manager

Posted Yesterday
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In-Office
3 Locations
Mid level
Easy Apply
In-Office
3 Locations
Mid level
As Data Scientist Manager, you will lead analytics projects focused on statistical analysis and modeling, transforming data into actionable insights and collaborating with stakeholders for project delivery.
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About WPP Media 

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. 

WHAT YOU WILL DO   

  • Apply deep knowledge of basic statistics (significance testing, correlation analysis, confidence intervals, descriptive statistics) to support analytical solutions.
  • Use statistical modelling techniques (regression, classification) to extract business value from campaign data.
  • Utilize programming languages (Python, R, SQL), statistical packages (SciPy), and Google tools (BigQuery, Tensorflow, Datalab) to prototype and deliver data-driven solutions.
  • Recommend and develop technical solutions with guidance from senior leadership.
  • Define project scope, setup, and effort estimation in collaboration with the account Analytics lead.
  • Build and maintain strong relationships with Analytics leads and gain a deep understanding of client challenges.
  • Work closely with key stakeholders to assess project needs and ensure delivery of best-in-class analytics work.
  • Collaborate with regional leadership on process development, improvement, and compliance.
  • Support campaign measurement, determine incremental lift from marketing activities, and manage reporting and data needs (ingestion, cleaning, delivery).
  • Code in SQL and Python to create reports and build dashboards; automate recurring workloads to improve efficiency.
  • Generate meaningful insights using advanced analytics/statistical techniques; create dashboards and presentations for wider teams.
  • Ensure continuous collaboration and progression across bands, disciplines, and offices.

  

 

 

Skills and Experience  

  • 3–6 years of relevant industry experience in analytics-focused roles.
  • Degree in an applied quantitative field (data science, mathematics, statistics, engineering, economics, business management, computer science, or related).
  • Understanding of marketing campaigns, objectives, and measurement techniques; prior experience in digital agency or consulting preferred.
  • Proficient coding skills in statistical software (R, Python, SciPy), programming languages (SQL, Python), and MS Office tools (especially advanced Excel/Google Sheets).
  • Experience in owning and delivering analytics projects, including correlation, regression, significance testing, A/B tests, and supervised machine learning.
  • Practical understanding of data science techniques, statistical analysis, and modelling.
  • Passion for data analysis, troubleshooting data anomalies, integrating data from multiple sources to create repositories for data science models.
  • Ability to transform raw data into actionable business insights for decision-making and strategic planning.
  • Strong logical thinking, problem-solving, and stakeholder management skills.
  • Excellent verbal and written communication skills.
  • Adherence to quality standards and ability to plan and prioritize work.
  • Experience using or building reports with business intelligence tools is a plus.
  • Experience in applying big data, statistics, and analytical techniques to solve client problems is preferred.
  • Business acumen to provide actionable strategic recommendations is preferred


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 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 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 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 around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Please read our Privacy Notice for more information on how we process the information you provide. 

Top Skills

Datalab
Google Bigquery
MS Office
Python
R
Scipy
SQL
TensorFlow

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