Senior Data Scientist

What you will do

About WPP

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit [WPP.com](https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwpp.com%2F&data=05%7C02%7CErica.

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Role Overview

We are seeking an exceptional Senior Data Scientist to join our highly skilled team in Warsaw. You will play a pivotal role in developing a state-of-the-art system that leverages Bayesian statistics and advanced theoretical concepts to estimate and understand the size of marketing and advertising audiences. This is a full-time position offered exclusively on a Contract of Employment (Umowa o Pracę). This is a hybrid role, requiring employees to work from our Warsaw office (Centrum Koneser) at least 3 days per week.

Responsibilities

• Develop and implement Bayesian statistical models and other advanced analytical methods to estimate audience sizes and characteristics.
• Collaborate closely with a multidisciplinary team to design, build, and refine data-driven solutions.
• Write high-quality, production-ready Python code including package development, unit testing, and documentation.
• Work independently to solve complex mathematical and conceptual problems with minimal supervision.
• Engage in productive, abstract discussions with team members to untangle nuanced issues and arrive at robust solutions.
• Contribute to code repositories using Git and participate in code reviews and version control best practices.
• Utilise cloud computing resources for scalable data processing and model deployment.
• Handle diverse data formats and ensure data integrity throughout the analytics pipeline.
• Adapt quickly to changing project requirements and priorities.

What we offer

What we offer

• The opportunity to work on cutting-edge analytics projects with global impact.
• A collaborative, intellectually stimulating environment with leading experts.
• Flexible, fast-moving work culture similar to a startup, within the stability of a global organization.
• Competitive salary (11 542 zł—25 000 zł PLN).
• Access to world-class resources and professional development opportunities.
• A comprehensive benefits package designed to support our employees' well-being and professional growth, including private medical care, professional development opportunities, training programmes and flexible working arrangements.

Requirements

Requirements

• Postgraduate-level knowledge in probability and statistics, with a strong foundation in Bayesian methods.
• Advanced Python programming skills, including experience with building packages, unit testing, and handling multiple data formats.
• Demonstrated ability to solve complex mathematical and statistical problems.
• Resilience and confidence in facing difficult, open-ended challenges.
• Adaptability to dynamic, fast-changing environments, ideally with experience in startup-like or high-pressure settings.
• Ability to work independently and creatively, finding solutions to novel problems with minimal supervision.
• Excellent communication and collaboration skills, especially in discussing and resolving abstract or conceptual issues.
• Familiarity with Git and repository management.
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure).
• Candidates must currently reside in Warsaw, Poland or be willing to relocate independently to Warsaw.