Senior Data Scientist: Bayesian Analytics & Production ML

WPP; København; Hybrid; DKK 600,000 - 900,000; Full time

Job summary

WPP in København (Region Hovedstaden) is expanding its data science capability to build a state-of-the-art system for estimating audience sizes and characteristics. You will apply Bayesian statistics, advanced mathematics and production-quality engineering to impact marketing and advertising outcomes.

You’ll work with a multidisciplinary team of data scientists and engineers, develop Python packages with tests, maintain data quality, and use cloud resources.

Qualifications

• Advanced knowledge of probability and statistics, including Bayesian methods.
• Advanced Python programming, package development and unit testing.
• Ability to solve complex mathematical, statistical or conceptual problems.
• Experience using Git, repositories and collaborative code reviews.
• Experience with a cloud platform such as AWS, GCP or Azure.
• Strong communication skills and ability to collaborate across disciplines.
• Structured, thoughtful approach to exploring unfamiliar problems.

Responsibilities

• Develop and implement Bayesian statistical models and other advanced analytical methods to estimate audience sizes and characteristics.
• Translate complex mathematical and statistical questions into robust, explainable data-driven solutions.
• Build and maintain production-ready Python packages, including unit tests and clear documentation.
• Collaborate with data scientists, engineers and other specialists to design, build and refine analytical solutions.
• Work with diverse data formats and help maintain data quality and integrity throughout the analytics pipeline.
• Use cloud computing resources to support scalable data processing and model deployment.
• Contribute to Git repositories, code reviews and sound version-control practices while adapting to evolving priorities.

Skills

Bayesian methods

Python

Unit testing

Package development

Problem solving

Git

Code reviews

Cloud platforms (AWS/GCP/Azure)

Communication

Collaboration

Structured thinking

Tools

Git

Job description

WPP in København (Region Hovedstaden) is expanding its data science capability to build a state-of-the-art system for estimating audience sizes and characteristics. You will apply Bayesian statistics, advanced mathematics and production-quality engineering to impact marketing and advertising outcomes.

You’ll work with a multidisciplinary team of data scientists and engineers, develop Python packages with tests, maintain data quality, and use cloud resources.