Research and Analytics Internship

Datapraxis is seeking interns to support our Research and Analytics team. We are looking for both current or recent graduate students in Political Science, Economics, and related fields with a strong background in data science, computer programming, statistics and related technical fields.

At Datapraxis, we value a T-shaped skillset, where our analysts have strong foundations across a breadth of skills and a depth of experience in particular areas. Our core competencies are: Data management; Engineering & technology; Data science & methods; Analysis & Insights; Insights Communication; and Management.

Our work is cross-functional and high impact. A typical project might combine polling and research, data science, and insights generation and presentation. Interns will have the opportunity to support project teams, undertake their own analyses across core functions and to grow professionally.

As an intern at Datapraxis, your work will incorporate a combination of the following responsibilities.

Depending on your skills and interests, you may contribute to:

The delivery of polling research projects that dig under the surface of enduring political strategy questions–from questionnaire drafting through vendor management, survey mechanics execution, survey data management and quality control, and data analysis.
The execution of statistical modelling projects, including with GDPR-compliant strategies that meet the needs of strategic and tactical decision making in novel contexts–from data preparation and management, quality assurance, exploratory analysis, model building (for example cluster modelling or MRP), and analysis of model findings and results.
The distillation of actionable political insights from research and data, as well as to the preparation of client-facing deliverables–including through visualisations and presentations.
Datapraxis’ management and development of internal survey and open data processes–including our database, polling data pipelines and processes, and data assets.
Collaborate with data science leads, analytics leads, research leads, and political domain experts to create outputs that are locally relevant, strategically actionable, and serve our greater mission.

Applications will be considered on a rolling basis.

Person specification

You may be a good fit if you have:

Aptitude for insights–you are excited about gleaning actionable political insights from data, finding patterns and meaning, and making connections between data science, research, and strategic decision making.
Detail and process orientation–you have strong attention to detail when executing tasks, and you relish the chance to provide impactful support to dynamic political contexts and turn around a high volume of client-facing projects with fast turnaround times.
Survey, social, or data science methodology–you have training or experience in survey, social, or data science through exposure in academia, political campaigns, polling firms, or public affairs and communications firms.
Coding and tech–you likely have at least intermediate proficiency conducting analysis in a statistical programming language such as python, R, or Stata. Our day to day collaboration happens in relational analytics databases; knowing SQL is a significant plus, and you’ll be excited to be a part of building data assets within industry best practice tech and data stacks.
Personal growth mentality–you are excited to learn new skills, try new roles on projects, and grow as a professional.
Interest and passion for progressive politics–at its heart, our work is about generating insights that help democracy and progressive politics flourish in Europe, and you share our passion for waking up each day to serve the common good.
Kindness and team focus–we are building a team that is kind, warm, collaborative, and solutions focused. You share our belief that empathy and inclusivity creates the conditions for great work.

Contact: To apply, please contact jobs@dataprax.is with the phrase “Research and Analytics Internship” in the subject line, with a CV and covering letter.