Senior Data Scientist

WPP; Warszawa; Hybrid; PLN 200,000 - 320,000; Full time

Job summary

WPP in Warsaw, Poland, is seeking an exceptional Senior Data Scientist to join our highly skilled team. You will develop state-of-the-art Bayesian models to estimate audience sizes and characteristics, and implement production-quality Python code.

You'll collaborate with a multidisciplinary group, write robust tests, manage data pipelines in the cloud, and contribute to reusable code and documentation in a fast-paced hybrid environment.

Qualifications

• Postgraduate-level knowledge in probability and statistics, with Bayesian methods.
• Advanced Python programming including packaging, testing and data handling.
• Experience with cloud platforms such as AWS, GCP or Azure.
• Ability to work independently on complex mathematical problems.
• Strong communication and collaboration skills.

Responsibilities

• Develop and implement Bayesian models to estimate audience sizes.
• Collaborate with multidisciplinary team to design data-driven solutions.
• Write production-ready Python code with packaging, tests, and docs.
• Work independently to solve complex mathematical problems.
• Engage in abstract discussions to reach robust solutions.
• Contribute to code repositories using Git and perform code reviews.
• Utilize cloud computing resources for scalable processing.
• Handle diverse data formats while preserving data integrity.
• Adapt quickly to changing project priorities.

Skills

Bayesian statistics

Advanced Python programming

Analytical problem solving

Independent work

Communication and collaboration

Education

Postgraduate degree in statistics or a related field

Tools

Python

Git

AWS/GCP/Azure

Job description

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.

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.

You will thrive in a fast-paced, dynamic environment where objectives evolve rapidly and complex, abstract problems are the norm. If you are passionate about tackling challenging statistical and mathematical problems, and enjoy working collaboratively with other experts, we want to hear from you.

Location Requirement

This is a hybrid role based in Warsaw, Poland. Candidates must currently reside in Warsaw, Poland or be willing to relocate independently to Warsaw, as relocation support is not provided for this position.

What you'll be doing:

• 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 you'll need:

• 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).

What you can expect:

• 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 and benefits package.
• Access to world‑class resources and professional development opportunities.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people –We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

The gross salary for this position at the time of this posting is indicated below. This range reflects our broader group’s compensation framework across diverse agencies and disciplines. For this specific role, our offer will be determined within this range based on our internal benchmark, reflecting the specific market conditions for our discipline. Individual compensation varies based on job-related factors, including business needs, experience, level of responsibility and qualifications.

In addition to the salary range provided, we offer a comprehensive benefits package designed to support our employees' well‑being and professional growth. While specific details may vary by agency, typical benefits often include private medical care, professional development opportunities, training programmes and flexible working arrangements (where applicable). Some agencies may offer additional benefits.

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.

WPP 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.