Data Scientist

At Precis, we are a group of friendly experts in media buying, analytics & marketing science, creative and technology with a joint mission to help great companies thrive in the digital landscape.

Are you curious to learn more about us? Read more about us here. For insights into what life is like at Precis and a peek at the perks of working with us, visit this page. In our Handbook, you can get a neat summary of who we are, our culture and our offices.

The Data Scientist serves as a foundational position for professionals building their expertise in data science, applying analytical skills to contribute to project outcomes under the guidance of more experienced colleagues. This role is centered around honing technical abilities in data handling, modeling, and analysis, while also learning to translate data insights into actionable business recommendations. In contrast to the more senior data science roles, the Data Scientist is characterized by a focus on growth and development, contributing to projects with support, and playing a key role in the collaborative efforts of the data science team to deliver on project objectives and gain valuable experience in the field.

• Support the development of machine learning models and statistical algorithms to address marketing and business challenges, emphasizing interpretability, adaptability to market changes, and business-driven performance metrics.
• Contribute to rapid prototyping, large-scale data analysis, and solution deployment in collaboration with senior team members to enable informed decision-making and maintain competitive advantage.
• Work closely with cross-functional teams (product, engineering, and business stakeholders) to understand needs, translate analytical concepts into actionable marketing strategies, and deliver insights applicable across departments.
• Help build and maintain strong client relationships by understanding their marketing and business challenges, contributing to relevant, data-driven strategies that support client retention and growth.
• Apply industry best practices in data analysis, feature engineering, and model development while continuously learning and integrating new data science and marketing analytics technologies under mentorship.
• Promote innovation and collaboration within a dynamic team environment, proactively developing technical and marketing expertise, and supporting ethical data practices, regulatory compliance, and transparency in data usage and model deployment.

• 2-4 years of experience extracting actionable insights from complex datasets and presenting findings clearly and accessibly, connecting data science work to business objectives and marketing impact.
• Strong technical proficiency in Python and SQL for data manipulation, cleaning, transformation, and visualization (e.g., pandas, matplotlib, plotly), with a solid understanding of machine learning and statistical methods applied to business problems.
• Familiarity with cloud environments such as GCP, including Big Query, serverless solutions, and foundational machine learning tools.
• Proactive, solution-oriented mindset with strong problem-solving, communication, and stakeholder engagement skills, ensuring timely delivery and alignment with project and business needs.
• Excellent communication in English.

• An intense learning environment where you will be able to grow and develop your skills and passions alongside some of the brightest minds in the industry.
• A culture that is built on collaboration, trust and innovation. We value having fun together - that’s why we also have regular after works, team events and a yearly festival.
• Transparent salary setting, you can find all our salary bands in our handbook. This role is a L2 role within the Marketing Science column. Check it out!
• 30 days paid leave, flexible public holidays, parental pay, a solid pension scheme and key insurance. Our different offices also offer different perks such as massage, health care contributions, free book orders, healthy snacks & great coffee, EAP programs and your choice of PC or Mac.
• A diverse environment with a high focus on inclusion and belonging. We speak 46 native languages around Precis, and our internal inclusion score is 4.5 out of 5.

Please send your application in English.

We are committed to building an inclusive and fair workplace that attracts talent and advances its people, regardless of their background, experiences or perspectives. We believe that a diverse set of minds will continue to contribute to our innovative culture and our ability to reinvent ourselves constantly.

We update all candidates on their applications by email. If you don't receive an email from us, please check your spam folder.