Copenhagen, Remote
18 April 2024

Data Scientist

We’re looking for a Data Scientist ready to impact sustainable travel significantly. You’ll be part of a dynamic team that drives the development of solutions that enable hotels and online marketplaces to embrace sustainability effortlessly so they, in turn, can offer sustainable choices to travelers.

Who are we:

Welcome to BeCause, The Sustainability Data Management hub. We're creating a future where making sustainable choices is effortless for decision-makers in industries like Travel & Tourism, enabling prosperity for all. Imagine booking a trip and easily choosing sustainable hotels, restaurants, and more, promoting businesses that lead in responsibility and sustainability. Our goal is to merge travel with positive impact, allowing you to explore the world responsibly and with peace of mind.

Our platform,, uses AI to offer businesses the simplest, most intelligent way to manage their sustainability efforts and data, automatically boosting their positive impact on society, the environment, and profits. We streamline, collect, and share sustainability achievements, connecting an ecosystem of hotels, marketplaces, certifiers, and other stakeholders, all unified in one platform.

BeCause is rapidly growing, with a proven product that's garnered prestigious awards and partnerships with industry giants like Google and Supported by a strong investor group, we're poised for even greater success.

We're just starting, and there's room for you to join us as our newest Data Scientist, helping us to enhance our solutions and seize a vast market opportunity.

What you'll do:

  • Design, develop, and benchmark AI and Machine Learning models to be deployed in production.
  • Creating the strategy, foundation, and fine-tuning of LLMs at BeCause, which will provide the users with predictive analytics and recommendations and further strengthen our data-matching capacities across the data sets of the actors in the travel ecosystem.
  • Improve matching algorithm, identifying & merging who's who and what's what in data from many sources.
  • Create an algorithm for matchmaking hotels with appropriate certifiers and analyze the progress made and needed for the hotel on its sustainability journey compared to its ambitions set.
  • Design, develop, improve, and maintain heuristics in either Python or C#, which will be part of the foundation for BeCause’s data-matching engine for the currently scattered sustainability data across the travel sector.
  • Develop and implement data storage and data sharing frameworks on top of Azure SQL Databases, Azure Queues, Azure Blob Storages, and Azure Cosmos DB to enable an efficient data reuse foundation for analytics across our IT landscape.

You will thrive if you have:

  • Proficiency in managing and working with databases such as Azure SQL DB and Cosmos DB.
  • Experience in finetuning LLMs, data matching, and building recommendation engines.
  • Expertise in designing and optimizing heuristics for solving complex challenges, such as mapping data between large semi-structured datasets with inherent data flaws.
  • Experience in building AI-powered applications.
  • Solid programming skills and familiarity with Azure and possibly .NET.
  • Familiarity with Azure DevOps & Repos for codebases; effective use of Microsoft Teams for collaboration within project teams.
  • Strong problem-solving skills and the ability to work collaboratively in a team environment.
  • Work closely with our product managers to understand the business requirements and user needs that must be solved.
  • Like collaborating with software engineers to integrate AI capabilities into our products and services.
  • Lightly train the remaining (software) engineers at BeCause, as they are also curious about data science.
  • Enjoys enhancing AI solutions to achieve progressively better results continuously.
  • Excellent verbal and written communication skills.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

Practical information:

  • Start date: Ideally, as soon as possible.
  • Full-time employment (40 hours per week).
  • Outside of Denmark: BTB Contract or using 3rd party, like / / Multiplier. No immediate end date. Timezone: +-1 hour of CET.

Our hiring process:

  • Initial screening interview with our Recruitment Partner Martin Gejlsbjerg: 30-45 minutes.
  • First interview with Frederik Rubens Steengaard, CEO: 30 minutes.
  • The second interview, Jonas Bruun Jacobsen, CTO: 1 hour.
  • Hire!

And here’s what’s in it for you:

Join our team and make a real impact with cutting-edge technology to drive positive environmental and social change. We offer a competitive salary. Enjoy the autonomy to build a meaningful career with mentorship and clear growth paths from day one. Embrace our remote work model from the comfort of your home. Our inclusive culture features office dogs, social events, online gatherings, and a commitment to health and professional development. You can be part of a dynamic team that's not just about work but making a difference and having fun.

What you need to do now:

If you’re interested in this position, please get in touch with Recruitment Business Partner Martin Gejlsbjerg at +45 3117 9450 or, and feel free to attach your CV to facilitate the process. We are happy to explain the details in a personal interview and welcome suitable applications regardless of gender, cultural and social background, age, disability, or sexual identity.

Overview of BeCause solution
Dashboard of BeCause solution
BeCauses team gathered for a picture

Are you the candidate we seek? Please reach out to:

Martin Gejlsbjerg
Recruitment Business Partner
+45 31 17 94 50