Data Science Leadership Jobs 2026 are increasingly expanding beyond traditional technology companies into international development, public health, and global policy organizations. One current opportunity with UNICEF offers experienced data and analytics professionals the chance to contribute to global health data systems through a 15-month remote consultancy based in Florence, Italy.
The position is for an MNCAH Data Scientist Consultant within the UNICEF Office of Strategy and Evidence (OSE), Integrated Health Data Analytics Unit, Data and Analytics Section. The consultancy focuses on strengthening data systems, statistical databases, analytics products, and evidence-based decision-making related to maternal, newborn, child and adolescent health (MNCAH).
The UNICEF vacancy was advertised on 27 August 2026, and applications are due by 9 September 2026. The role is remote and requires a master’s degree in a relevant discipline together with at least two years of relevant professional experience.
Data Science Leadership Jobs 2026: UNICEF Opportunity Overview
This UNICEF consultancy is particularly relevant to professionals who want to apply data science, statistics, programming, visualization, and database expertise to international development and global health challenges.
| Position | MNCAH Data Scientist Consultant |
|---|---|
| Organization | UNICEF |
| Office | Office of Strategy and Evidence (OSE) |
| Unit | Integrated Health Data Analytics Unit |
| Location | Florence, Italy |
| Working arrangement | Remote |
| Contract type | Consultancy |
| Contract duration | 15 months |
| Required education | Master’s degree |
| Minimum experience | 2 years |
| Application deadline | 9 September 2026 |
The role sits within UNICEF’s Data and Analytics Section and supports the organization’s work with global maternal, newborn, child and adolescent health data.
About the UNICEF Data Scientist Consultant Role
The MNCAH portfolio maintains and updates a global database containing data used by stakeholders for activities such as Sustainable Development Goal monitoring, programme planning, policy advocacy, and reporting.
According to the terms of reference provided in the vacancy, UNICEF is expanding this database to incorporate different forms of information, including administrative, modelled, and subnational data. The expansion is intended to improve the availability and timeliness of health data while strengthening the underlying database workflow.
The successful consultant will provide technical data science expertise to support this work under the guidance of the Statistics and Monitoring Adviser for MNCAH.
The consultancy also contributes to UNICEF’s Actionable Health Analytics for Decision-making (AHEAD) project. This involves strengthening analytics capacity and supporting countries in using health data to inform decision-making.
For professionals interested in combining data science with public health and international development, this makes the position particularly relevant.
Key Responsibilities
The consultant will contribute to several interconnected areas of data management, analytics, reporting, and health-data systems.
Global MNCAH Database Development
A central responsibility is supporting the maintenance and development of the global MNCAH database.
The work involves helping UNICEF incorporate new data sources and improve database workflows so that information can be processed and made available more effectively.
The consultant may therefore work across data processing, database maintenance, analysis, reporting, and quality-related activities.
Data Analysis and Analytics Products
The position requires the ability to analyse and present data effectively.
The consultant will contribute technical expertise to the development of data products and analytical outputs supporting UNICEF’s global reporting requirements.
This includes work connected to:
- SDG monitoring
- Strategic Plan reporting
- Global MNCAH reporting
- Country-level analytics
- Regional-level analysis
- Custom analytics requests
Actionable Health Analytics for Decision-Making
Another important component is the AHEAD project.
The consultant will help build out the AHEAD analytics package and provide analytical support in response to requests from countries.
This means candidates should be comfortable translating complex datasets into useful analytical outputs that can support decision-making.
Required Qualifications for the UNICEF Data Science Consultancy
Education
Applicants must have a master’s degree in one of the following areas or a related discipline:
- Data science
- Computer science
- Demography
- Public health
- Social sciences
- Epidemiology
- Statistics
A relevant postgraduate qualification is therefore an important requirement for this particular consultancy.
Professional Experience
UNICEF requires at least two years of work experience at the national or international level in areas such as statistical data processing, data analysis, and the development or maintenance of statistical databases.
Candidates should also demonstrate experience in analysing, compiling, and presenting data.
Experience related specifically to maternal, newborn, child and adolescent health (MNCAH) is preferred.
Technical Skills Required
The vacancy places significant emphasis on practical data and analytics capabilities.
Candidates should have demonstrated expertise using statistical or programming tools, with R preferred, alongside Python or STATA.
Experience with enterprise databases and data visualization platforms is also required. Examples identified in the vacancy include:
- Tableau
- Power BI
Knowledge of global health data systems is another important requirement.
Applicants should therefore demonstrate more than general programming ability. The strongest applications are likely to clearly connect technical data skills with experience handling statistical databases, producing analytical outputs, and working with health or development data.
Language Requirements
English proficiency is required.
Knowledge of another United Nations language is considered an asset, with particular value placed on French.
Applicants who possess additional UN-language capabilities may therefore have an advantage where those skills are relevant to the consultancy’s work.
Documents Required to Apply
Qualified candidates are expected to submit their application through UNICEF’s recruitment system.
The vacancy identifies the following documents:
- An up-to-date UNICEF Talent Management System (TMS) profile
- Curriculum vitae (CV)
- Cover letter
- A separate financial proposal
The financial proposal should be submitted using the template specified by UNICEF in the vacancy documentation.
Applicants should carefully review the complete Terms of Reference and financial proposal requirements before submitting their application.
How to Apply for the UNICEF Data Scientist Consultant Job
Interested candidates should apply through the official UNICEF recruitment system.
The vacancy is listed as Job No. 595394, and the application deadline is 9 September 2026.
Apply for the UNICEF MNCAH Data Scientist Consultant position
Applicants should ensure that their CV and cover letter clearly demonstrate the experience requested in the vacancy rather than relying only on general descriptions of data science skills.
Tips for Preparing a Strong Application
Professionals applying for this type of data science consultancy should pay close attention to the relationship between their technical experience and the responsibilities outlined in the vacancy.
Highlight Relevant Data Experience
Your CV should clearly identify experience involving statistical data processing, data analysis, databases, and analytical reporting.
Where possible, describe the type of datasets handled, analytical methods used, and outcomes produced.
Demonstrate Programming Expertise
Because the vacancy specifically identifies R, Python, and STATA, applicants should make their relevant experience with these tools easy for recruiters to identify.
If R is a major part of your professional background, ensure that this is clearly visible rather than buried in a general technical-skills section.
Emphasize Data Visualization
Experience with tools such as Tableau and Power BI should also be clearly presented.
Candidates should demonstrate how they have used visualization tools to communicate findings and support decision-making.
Connect Experience to Global Health
Experience with public health, epidemiology, demographic data, or international development can be particularly relevant.
Applicants with MNCAH-related experience should make that connection explicit in their CV and cover letter.
Follow the Financial Proposal Instructions
Because this is a consultancy rather than a standard staff appointment, the financial proposal is an important part of the application package.
Candidates should use the financial proposal template specified by UNICEF and carefully follow the instructions provided with the vacancy.
Remote Work Arrangement
The position is explicitly listed as a remote consultancy with a duty station of Florence, Italy.
However, applicants should read the complete Terms of Reference and UNICEF recruitment instructions carefully for any additional conditions associated with the consultancy before applying.
The fact that a vacancy is described as remote should not automatically be interpreted as meaning that every applicant can work from any country without restrictions.
UNICEF Recruitment and Fraud Awareness
UNICEF states that it does not charge processing fees during its recruitment, selection, or hiring processes.
Applicants should be cautious about anyone requesting money or financial information in connection with a supposed UNICEF recruitment process.
UNICEF also states that positions are advertised through its recruitment channels and that only shortlisted candidates proceed to the next stage.
For this reason, applicants should rely on the official UNICEF careers platform when checking vacancy information and submitting applications.
Why This Opportunity Matters for Data Science Professionals
Data science careers are increasingly relevant to organizations working in health, development, humanitarian response, and public policy.
This UNICEF consultancy demonstrates how professionals with skills in statistical analysis, programming, database management, and visualization can apply their expertise to international development challenges.
The role also offers exposure to global health data, SDG monitoring, country-level analytics, and evidence-based decision-making.
For experienced analytics professionals seeking to move beyond commercial data science into international development, the opportunity represents a potentially valuable career pathway.
Final Takeaway
The Data Science Leadership Jobs 2026 landscape includes opportunities in international organizations as well as conventional technology and analytics companies. The UNICEF MNCAH Data Scientist Consultant vacancy is a notable example, offering a 15-month remote consultancy focused on global health data analytics.
The position requires a master’s degree in a relevant field, at least two years of relevant experience, strong analytical capabilities, and practical expertise with tools such as R, Python, or STATA, alongside database and data visualization experience.
With the application deadline set for 9 September 2026, eligible candidates should review the complete Terms of Reference, prepare the required application documents, and submit their applications through UNICEF’s official recruitment system before the stated deadline.
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