UNDP Data Science Analyst: Home-Based Opportunity in Brazil | 6-Month Contract | Apply by 25 September 2026

The United Nations Development Programme (UNDP) is inviting applications for a Data Science Analyst to support digital transformation within Brazil’s justice sector. The home-based position is part of the Justiça 4.0 Programme, a major initiative focused on using technology and data to improve the efficiency, effectiveness and accessibility of judicial services.
The opportunity is based in Brasilia, Brazil, but the position is designated as Home Based. It is offered on a full-time basis under a National Personnel Service Agreement (NPSA-8) for six months.
Candidates with expertise in data science, statistics, computer science, mathematics, software engineering or information science are encouraged to apply. Depending on their academic qualification, applicants may be eligible with a Master’s degree or a Bachelor’s degree combined with relevant professional experience.
The application deadline is 25 September 2026 at 5:59 AM.
UNDP Data Science Analyst Job Overview
The Data Science Analyst will work on the Data Intelligence Project under the Justiça 4.0 Programme. The position will focus on structuring judicial data, supporting the implementation and use of DataJud and Codex, and producing diagnostics and transparency dashboards.
The professional will work closely with teams from the National Council of Justice (CNJ) and UNDP to support the cleaning and improvement of Brazil’s National Judicial Data Base, known as DataJud.
Job Title: Data Science Analyst
Organization: UNDP
Job ID: 36821
Location: Brasilia, Brazil
Work Arrangement: Home Based
Schedule: Full-time
Contract: National Personnel Service Agreement (NPSA-8)
Duration: 6 months
Posting Date: 10 September 2026
Deadline: 25 September 2026
Required Language: Portuguese
Desired Language: English
Salary: Not specified
About the Justiça 4.0 Programme
Justiça 4.0 is a digital transformation programme for Brazil’s judicial system. Launched in 2020 through cooperation between the National Council of Justice and UNDP, the programme seeks to develop and improve technological solutions that make justice services more efficient, effective and accessible.
The programme also supports improved case management for judges, public servants, lawyers and other participants in the justice system. Its work is connected to the UN Sustainable Development Goals and the 2030 Agenda.
Key Responsibilities
The Data Science Analyst will be responsible for extracting, cleaning, treating and structuring large volumes of data from different sources used by the CNJ.
The role will involve identifying inconsistencies, anomalies and data quality problems, followed by the development and implementation of technical solutions and routines to correct them. The successful candidate will also help design scalable solutions for the continuous improvement and enrichment of databases.
Another important responsibility will be data analysis and reporting. The analyst will produce reports, dashboards and descriptive statistics and use visualisations such as graphs, tables and maps to communicate findings effectively.
The position will also involve developing and applying predictive and classification models to generate insights and support decision-making. The analyst may contribute to complex diagnostics and statistical studies conducted by the CNJ.
Technical support and knowledge transfer will form another part of the role. The successful candidate will work with CNJ and UNDP focal points, support project implementation, document methodologies, facilitate knowledge transfer and validate project tools and systems.
Education Requirements
Candidates should have an advanced university degree, such as a Master’s degree or equivalent, in Statistics, Computer Science, Mathematics, Software Engineering, Information Science or a related field.
Applicants with a Bachelor’s degree in one of these fields may also be considered if they have at least two additional years of relevant professional experience.
Candidates holding a Master’s degree in a relevant field do not need prior professional experience according to the vacancy requirements.
Skills and Experience
For Bachelor’s degree holders, relevant experience should include data extraction, processing, structuring and analysis, including handling large datasets, identifying and resolving inconsistencies, and producing reports and dashboards.
Experience with R and Python programming languages is desirable. Candidates may also benefit from experience working with relational or non-relational databases such as ClickHouse, PostgreSQL or Elasticsearch.
Experience with data visualisation platforms including Qlik Sense, Streamlit, Power BI, R Shiny or Kibana is also desirable.
Previous work involving judicial databases or projects connected to the public sector or judiciary would be an additional advantage.
Language Requirements
Fluency in Portuguese is required, while fluency in English is desirable.
The position also requires strong analytical, project management, data-handling and problem-solving capabilities, alongside the ability to work collaboratively with technical and institutional partners.
How to Apply
Interested candidates should apply through the official UNDP recruitment platform before the closing date.
Application Deadline: 25 September 2026 at 5:59 AM
APPLICATION LINK: Apply for UNDP Job Identification 36821 – Data Science Analyst through the UNDP Careers portal.
Applicants should carefully review the vacancy requirements and ensure their application accurately reflects their education, technical skills and relevant experience. UNDP also states that it does not charge fees at any stage of its recruitment process.
Conclusion
The UNDP Data Science Analyst opportunity provides data professionals with an opportunity to contribute to the digital transformation of Brazil’s justice system. The role combines data engineering, data quality, statistical analysis, predictive modelling, dashboards and knowledge transfer within the Justiça 4.0 Programme.
Professionals with relevant academic qualifications and technical data skills should review the eligibility requirements and submit their applications before 25 September 2026.
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