Senior Data Scientist

WPP
Copenhagen
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Structured problem-solving","Knowledge sharing"]

Develop and implement Bayesian statistical and other advanced analytical methods to estimate marketing and advertising audience sizes and characteristics. Translate complex math and statistical questions into robust, explainable solutions, and build production-ready Python packages with tests and clear documentation. Collaborate with data scientists, engineers, and specialists across the analytics pipeline, ensuring data quality and leveraging AWS, GCP, or Azure for scalable processing and model deployment. Contribute to Git repositories and code reviews.

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FursaFursa
WPP
WPP
7 hours ago

Senior Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Develop and implement Bayesian statistical and other advanced analytical methods to estimate marketing and advertising audience sizes and characteristics. Translate complex math and statistical questions into robust, explainable solutions, and build production-ready Python packages with tests and clear documentation. Collaborate with data scientists, engineers, and specialists across the analytics pipeline, ensuring data quality and leveraging AWS, GCP, or Azure for scalable processing and model deployment. Contribute to Git repositories and code reviews.
Location: Copenhagen
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and implement Bayesian statistical models and 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 technical documentation.
  • •Collaborate with data scientists, engineers, and specialists to design, build, and refine analytical solutions.
  • •Use cloud computing resources to support scalable data processing and model deployment, maintaining data quality throughout the pipeline.

Pay and Benefits

Schedule:4-Day Week

Key Requirements

  • •Advanced knowledge of probability and statistics with a strong foundation in Bayesian methods through postgraduate study or equivalent experience.
  • •Advanced Python skills, including building packages, writing unit tests, and working with multiple data formats.
  • •Demonstrated ability to solve complex mathematical, statistical, or conceptual problems.
  • •Experience with Git repositories and collaborative code-review/version-control practices.
  • •Experience with a cloud computing platform such as AWS, GCP, or Azure.
Skills:CommunicationCollaborationStructured problem-solvingKnowledge sharing
Tech Stack:PythonUnit testingGitAWSGCPAzureCloud computingBayesian statisticsVersion control

Company Brief

WPP
Global marketing and communications services group offering advertising, media investment management, branding, public relations, and digital services to multinational clients across industries.
Industry: Advertising Media Groups
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 1971
WebsiteLinkedIn