UNICEF Data Science/Machine Learning (DS/ML) Consultant 2026: 12-Month Remote Consultancy Opportunity

The UNICEF Data Science/Machine Learning (DS/ML) Consultant 2026 opportunity offers an experienced technology professional the chance to support UNICEF’s Office of Innovation on data science, machine learning, artificial intelligence and early-stage innovation projects. The consultancy is based in Stockholm, Sweden, with a remote work arrangement and a 12-month duration.

UNICEF is seeking an experienced Data Science/Machine Learning (DS/ML) Consultant to work with its Office of Innovation (OOI) and provide technical guidance across UNICEF’s headquarters, regional offices and country-level engagements.

The role sits within the Solutions Emerging Innovation team, where data science and machine learning are viewed as tools that can help accelerate positive results for children. The consultant will contribute to early-stage DS/ML initiatives and help UNICEF understand how emerging technologies can be responsibly developed and applied in different operating environments.

The position is listed as a consultancy, with a 12-month duration and a remote work arrangement. The official UNICEF listing identifies Stockholm, Sweden, as the location.

The opportunity is particularly suited to professionals who can combine technical expertise with practical understanding of how data science and machine learning projects move from early concepts and prototypes toward implementation and scale.

Key Responsibilities

The consultant will provide technical support and guidance for DS/ML-related work across UNICEF.

Major responsibilities include:

Data Science and Machine Learning Technical Guidance

The successful consultant will provide technical guidance, support and mentorship to teams working on DS/ML initiatives.

This includes supporting projects associated with UNICEF’s Venture Fund, as well as providing technical expertise to UNICEF teams, divisions and offices.

The consultant is therefore expected to be comfortable communicating complex technical concepts to both technical and non-technical stakeholders.

Support Early-Stage Innovation Projects

Another important part of the assignment involves supporting the technical exploration, development and rollout of early-stage DS/ML initiatives, models and prototypes.

The objective is not simply to develop technology but to determine how these approaches can contribute to UNICEF’s work and ultimately accelerate results for children.

Responsible and Ethical DS/ML

UNICEF’s vacancy emphasizes the importance of responsible and ethical approaches to data science and machine learning.

Candidates should therefore understand that technical capability alone is not the entire focus of the consultancy. The successful consultant will need to consider how DS/ML solutions can work appropriately in different contexts and how emerging technologies can be developed and promoted responsibly.

Stakeholder Engagement and Scaling

The consultant will work with internal and external stakeholders to support understanding, adoption and potential scaling of DS/ML initiatives.

The role also involves facilitating engagements between UNICEF teams and external technical experts for strategic Office of Innovation-funded initiatives.

Qualifications

Education and Certification

The official vacancy requires an advanced university degree, at Master’s level or higher, in:

Computer Science
Data Science
Machine Learning
Another relevant field

UNICEF indicates that a first university degree in a relevant field combined with two additional years of professional experience may be accepted instead of an advanced university degree.

Experience

The position is designed for an experienced DS/ML professional capable of providing technical advice and mentorship rather than simply performing entry-level data analysis.

Relevant expertise may include data science, machine learning, artificial intelligence, development of analytical models, technical prototyping and supporting technology projects from early-stage exploration toward implementation.

Experience working across multidisciplinary teams would also be valuable because the assignment involves collaboration with UNICEF teams and external technical specialists.

Additional Information

The UNICEF Office of Innovation operates at the intersection of technology, partnerships, startup thinking and global development challenges. The DS/ML consultancy is therefore broader than a conventional data science position.

The successful consultant will be expected to understand the relationship between technical possibilities and real-world implementation, particularly in different programme-country contexts.

This makes the role potentially relevant to professionals interested in AI for development, machine learning for social impact, responsible AI, digital innovation and international development technology.

UNICEF also requires selected candidates to undergo appropriate reference and background checks. Academic credentials and employment history may be verified as part of the selection process.

Application Process

According to the official UNICEF vacancy, applicants were required to submit:

An up-to-date UNICEF Talent Management System profile and CV
A cover letter
A separate financial proposal using the prescribed UNICEF template

The original vacancy was advertised on 5 June 2026 and closed on 14 June 2026.

Important: The deadline has already passed as of August 13, 2026. Therefore, this particular vacancy should not be presented as currently open for applications. The information remains useful for understanding the role and for identifying similar UNICEF technology and innovation consultancies.

View UNICEF Careers

Final Thoughts

The UNICEF Data Science/Machine Learning (DS/ML) Consultant 2026 position represented a highly specialized international consultancy for professionals working at the intersection of data science, machine learning, AI and development innovation.

Its focus on technical mentorship, early-stage DS/ML projects, responsible technology and scaling innovative solutions makes it particularly relevant to experienced data and technology specialists interested in applying their expertise to global development challenges.

For future UNICEF applicants, this vacancy also highlights the type of technical and strategic expertise that the organization’s Office of Innovation may seek when recruiting DS/ML consultants.

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