Data Scientist in Sustainability

Why you’ll love Quantis

For nearly two decades, our dynamic and visionary team has partnered with organizations across the globe to transform their industries and pave the way for a planetary economy that aligns business with nature. We strive to be agents of change, helping companies transform from business as usual to business at its best.

We believe that sustainable transformation is possible and within our power. We’re contributing to this transformation by combining the latest science with strategic business insights. Our advice enables global leaders in the consumer goods and finance industries to understand how to reduce their environmental impacts, implement change successfully, and operate within planetary boundaries.

Motivated by this common purpose, our 300+ talented professionals cultivate a unique, collaborative culture that we call the Quantis Spirit. We are innovative. We are impact-oriented. We are science-based. We are Quantis.

Join us!

As a Data Scientist at Quantis, you will contribute to the development of digital products and Life Cycle Assessment (LCA) databases. Your work will support global companies in measuring, understanding, and reducing their environmental impact.

Joining the Quantis data team means...

• Actively contribute to the evolution of Quantis LCA databases, by developing approaches for data collection, manipulation, processing, and maintenance.
• Collaborate closely with LCA specialists and environmental engineers, ensuring rigorous scientific accuracy.
• Develop deep sector-specific data expertise in our priority industries: food & beverage, apparel, and cosmetics.
• Engage directly with leading sustainability professionals and leverage their insights to build impactful data solutions.

Does this describe you?

• You are passionate and driven to use your technical and analytical expertise to advance global sustainability and align businesses with Planetary Boundaries.
• You hold a Master's degree (or higher) in Data Science, Environmental Engineering, Computer Science, or a closely related field.
• You have robust data manipulation skills and a proven track record of building data-driven models and applications.
• You are proficient in Python, enthusiastic about AI and machine learning, and actively exploring innovative applications of LLMs and related technologies.
• You excel at working with structured and semi-structured data sets and enjoy transforming complex data into meaningful insights.
• You have excellent interpersonal and communication skills, able to clearly present complex analytical concepts to diverse audiences.
• You thrive in collaborative team environments, providing technical guidance, mentoring colleagues, and contributing to team growth.
• You communicate clearly and confidently in fluent English; proficiency in French would be an advantage.

Additional nice-to-have knowledge:

• You have prior experience or substantial familiarity with Life Cycle Assessment (LCA).
• You possess knowledge in agricultural modeling or other sustainability-focused sectors.

Join us and be part of a dedicated team committed to making a tangible impact on environmental sustainability through advanced data science.

Some logistics to consider

• Location: Lausanne or Zürich

• Optimal start date: as soon as possible

• Frequent collaboration with other Quantis branches (Boston, Paris, Berlin, and Milan) via web-conferences or in-person

• Ability to travel occasionally for internal meetings

Quantis has a distinctive, fluid structure nurtured by our Quantis Spirit and our way of collaborating that provides a positive and unique working environment.

Quantis Diversity-Equity-Inclusion Statement

At Quantis, the principles of DEI have always been an essential part of our identity, our values and our mission. Our commitment is to elevate the voices of all Quantisians to foster an inclusive culture where all employees feel that they belong and are valued. Our goal is to create a workforce that reflects the diversity of all the places where we live and work. This extends to our clients, their clients, and their entire value chain as sustainable thinking and collective representation are integral components of our purpose to transform the way that businesses operate.