Meet Square Sense

With a mixed team of data scientists, software engineers and real estate specialists, 11 different nationalities and an average age of 32, Square Sense offers a fulfilling environment for talents looking to tackle critical challenges in a major industry.


Our values


At Square Sense, innovation drives our ambition. We like to constantly challenge our own ideas and leverage our creativity to adapt our offer according to the needs and demands of our clients.

Anticipating market trends and analyzing user behaviour enables us to develop differentiated products that stand out from the competition.

Positive workplace

We firmly believe that if our team is going to excel, they must be given every opportunity to work in an environment where trust and confidence are paramount.

We pride ourselves on creating a rewarding workplace culture based on communication and open-mindedness, key attributes of a multicultural company.

Customer satisfaction

Our mission is to provide products and services that correspond precisely to our customers’ needs.

With excellence as our goal and a desire to exceed expectations, we work in close collaboration with our clients and welcome all feedback so that we can continually improve our offering.

Our team

Real estate

Our real estate team brings together data asset managers, real estate analysts, product specialists, and salespeople. This potent mix of skills allows us to deliver the best products to asset managers.

We manage premium relationships with our clients, providing a superior level of customer service. We achieve this by developing high-quality tools to market, sell and operate our products effectively.


Our team of experts has a combined skillset that covers data engineering, full-stack web development, site reliability engineering, and quality assurance.

We are responsible for implementation, quality control, delivery and maintenance of the Square Sense software solution and data lakehouse, as well as providing ongoing support of data-related activities.

Data science

Our research team includes data product managers, data scientists, data analysts, and machine learning engineers. Each team member holds an advanced degree in a quantitative discipline.

We design, implement and operate algorithms to optimize asset managers’ key metrics while building trust-enabling features that drive user adoption: explainability, interactivity, and experience-driven decision-making support.