INVI is looking for two analysts who can contribute to sharp data-driven projects and innovative use of AI in tackling society's wild problems.

We're also looking for English speaking candidates.

Are you good at data science? Can you deliver sharp analysis and innovation of AI-driven methods? Are you creative when it comes to visualizing and communicating data? Then you have the opportunity to join the growing and ambitious analytics team at INVI.

INVI is an independent think tank that is neither party-political nor bound by commercial interests. We address the highly complex problems in society that are difficult for our government to handle because they are intractable and cross-border. Think, for example, of climate, unhappiness or artificial intelligence. They are wild problems that call for new approaches.

At INVI, we have high ambitions and work with the best people in the country to develop visions and tools that give everyone working with wild problems more strings to their bow. Together with practitioners and experts, INVI has developed the world's first Wild Problem Model (WPM ), which uses data science methods, quali-quantitative data, and AI-based language models to measure how wild a problem is - and to map the anatomy of the problem to make it easier to make inroads. An important part of INVI's mission in the near future will be to apply the model in concrete analyzes and continue its development so that citizens and users play a more central role. This is where you come in!

Your role
INVI's analytics team is growing and we are looking for people who are methodologically strong and can work with both quantitative and qualitative data - from collecting to processing and cleaning data, to analysis, visualization, and interpretation of results. As an analyst at INVI, it will be your job to apply our Wild Problem Model in practice in collaboration with Chief Analyst Sofie Burgos-Thorsen and the rest of the INVI team.

You should apply if you are good at seeing opportunities and patterns in a big data ocean and presenting analysis in a way that creates actionable insights for leaders in key decision-making spaces from politics to administration to organizations, civil society and businesses.

We create the role together, but we envision that you will:

• Contribute to analysis that educates the public on wildlife issues based on INVI'sWildlife Issues Model and input from INVI's Policy Insights Panel (PIP), which consists of over 800 practitioners.

• Plan and execute data-driven projects in coordination with external partners (ministries, business, cultural organizations, etc.).

• Collaborate across INVI and connect what happens in the analytics team with the rest of INVI. 

• Contribute to a strong professional environment with an innovative approach as part of a growing analytics department.

Maybe you're a data scientist, technoanthropologist, engineer, or programmer? Maybe you're a sociologist, humanist or journalist with an understanding of data, economist, or something else? Maybe you come from the world of research, or have worked in central administration, consulting, a think tank or an interest organization? It's not that important. The important thing is that you are passionate about developing sharp analysis and data-driven methods to study society's wild problems. At INVI, you will have ample opportunity to put your expertise into play. 

We envision that you have 2-4 years of relevant experience, but you may also be a recent graduate or about to complete a relevant master's degree. We are looking to hire either one experienced analyst to fill a larger responsibility, or up to two talented graduate students/new graduates who, under supervision, can deliver sharp analysis and help INVI with innovative approaches to AI and data work.

We expect you to:

• Working purposefully and independently, you are able to translate uncommon empirical data into sharp and actionable analysis.  

• Know your qualitative and quantitative methods, including how to create surveys and work with statistics.

• Have knowledge of, or are curious to learn, network analysis and software/python packages such as Gephi, NetworkX, or equivalent.

• Are good at visual communication of data stories and/or have an interest in working creatively with visual communication of data "beyond the pie chart".

• There are no specific technical skill requirements, but it's a plus if you can work with data in python and are open to experimenting with using AI tools and large language models.

• You can write and express yourself in an understandable way so that your thoughts and communication of data-driven projects are clear and impactful.

• Thrive on working in a new organization with a fast-paced environment and opportunities to quickly take on big responsibilities.

Application
We continuously invite interesting candidates for a dialog and hire when we have found the right person or persons.

Send your application and CV to Chief Analyst Sofie Burgos-Thorsen at sofie@invi.nu and Chief Economist Jannie Kristoffersen(jannie@invi.nu).

Working hours
Part-time or full-time. Write in the application what you are looking for. If part-time, it is a prerequisite that you can put in at least 3 full working days per week.

Place of work
Snaregade 10B, 1205 Copenhagen

What you get out of working at INVI
We offer a workplace in a new think tank where you get a lot of influence on your everyday life and where there are high expectations for both your work performance and development. 

You will join a fast-paced organization with high ceilings, many disciplines and a good social team spirit. At INVI, we are a unified team where everyone contributes both professionally and socially. We guarantee that it won 't be boring.

You need to thrive in an environment where there are many unknowns. Therefore, independence, drive, creative thinking, and good communication skills are important, and it is an advantage if you are structured, can project manage and have an eye for good collaboration.

About the future of the Wild Problem Model
INVI's Wild Problem Model (in its current version) has been developed in collaboration with 800 practitioners, Professor Jacob Gerner Hariri and a competent support group chaired by Carl-Johan Dalgaard. The model is a breakthrough in the handling of wild problems. Through the use of artificial intelligence, language models and insights from practitioners in the field, the model provides a unique look at the anatomy of wild problems and opens up new ways of dealing with society's problems. In 2025, the goal is to further develop the model in collaboration with the best researchers in the country across relevant research environments. This will involve testing and strengthening the model's robustness, operationalizations and methodological consistency, as well as developing digital navigation tools and visualization modules on top of the model. This will make it even more useful and relevant for decision makers at all levels.