Senior Data Scientist

Who We Are: At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon a century of combined expertise, where creativity meets technology, and diverse perspectives ignite inspiration. With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse.

Our global family now encompasses over 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences.

Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work. Senior Data Scientist We are seeking an exceptional Senior Data Scientist to join our highly skilled team in Copenhagen. 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 initiative is a cornerstone of Choreograph’s broader mission to revolutionise analytics capabilities across the organisation using AI and data science. 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. Key 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. Utilize 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. Must-Have Qualifications & Skills 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). Nice-to-Have Skills & Experience Programming experience in Scala and understanding of object-oriented programming principles. Knowledge of set theory and propositional logic. Background in media, advertising, or digital advertising analytics. Familiarity with the unique challenges of audience measurement and marketing analytics. 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 and benefits package. Access to world-class resources and professional development opportunities. 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 an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP (VML) 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.

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