All jobs

Posted by the organisation on ReliefWeb · Verified employer

Consultancy on MMC Development of a Standard DAC Estimation Tool - SUIDAC Project

Danish Refugee Council

View job & apply

Job at a glance

Employer
Danish Refugee Council
Position
Consultancy on MMC Development of a Standard DAC Estimation Tool - SUIDAC Project
Location
Kenya
Job type
Contract
Contract
5-month consultancy (Nov 2026 – Mar 2027)
Experience
5+ years in urban displacement research
Education
Post-graduate degree in relevant field
Salary
Not stated in the advert
Application deadline
29 October 2026
Start date
Mid November 2026
Posted on VacancyKE
16 October 2026

VacancyKE summary

The Danish Refugee Council is hiring a Principal Consultant to develop a standardized Displacement Affected Communities (DAC) estimation tool for the SUIDAC project. This remote consultancy runs from November 2026 to March 2027 and focuses on creating replicable methodologies for city authorities.

What stands out about this opportunity

  • Fully remote consultancy with no travel
  • Fixed five-month timeline ending March 2027
  • Focus on scalable tools for city authorities
  • Staged payment linked to specific deliverables

What’s offered

  • Five-month consultancy contract from mid-November 2026 to March 2027
  • Payment schedule: 20% upon signing, 50% after Tasks 1-3, 30% upon final completion
  • Fully remote assignment with no travel required
  • Virtual coordination via weekly calls and email updates

Key responsibilities

  • Review global and local methodologies for estimating DAC populations in fragile urban contexts
  • Assess feasibility of integrating municipal, national, and humanitarian data sources
  • Design a standardized, user-friendly DAC estimation framework suitable for all SUIDAC cities
  • Develop practical implementation models that do not require advanced statistical expertise
  • Test methodology and produce city-level DAC population estimates with confidence intervals
  • Facilitate validation workshops with MMC stakeholders and incorporate feedback
  • Finalize technical documentation, training guides, and capacity-building packages
  • Document assumptions, limitations, and recommended applications for city authorities

Who should apply?

This role suits an experienced researcher or statistician specialising in demography and migration studies who can work independently in a remote setting.

Key requirements

  • Post-graduate degree in statistics/demography
  • 5+ years urban displacement research
  • Experience in population estimation methods
  • Proficiency in statistical modelling
  • Fluency in written/spoken English
  • Independent remote working capability

Nice to have

  • Prior experience working with Mixed Migration Centre (MMC)

What you should know

  • The consultant must provide their own computer and electronic equipment
  • Deliverables must be submitted by email in Word, PDF, and link formats
  • Work involves close collaboration with MMC, city authorities, and Technical Implementing Partners
  • Supervision provided by Head of MMC Eastern and Southern Africa and MMC Data Manager

How to apply

Official source: Posted by the organisation on ReliefWeb · reliefweb.int. VacancyKE never charges job seekers.

View job & apply

Original employer advertisement

Published by Danish Refugee Council on reliefweb.int. Shown for reference; the employer’s version is the official one.

The employer’s advert
Founded in 1956, the Danish Refugee Council (DRC) is a leading international NGO and one of the few with a specific expertise in forced displacement. Active in 40 countries with 9,000 employees and supported by 7,500 volunteers, DRC protects, advocates, and builds sustainable futures for refugees and other displacement affected people and communities. DRC works during displacement at all stages: In the acute crisis, in displacement, when settling and integrating in a new place, or upon return. DRC provides protection and life-saving humanitarian assistance; supports displaced persons in becoming self-reliant and included into hosting societies; and works with civil society and responsible authorities to promote protection of rights and peaceful coexistence.

MMC is a knowledge centre engaged in data collection, research, analysis, and policy and programming on mixed migration. MMC has regional hubs hosted in Africa, Asia, Europe and Latin America, with a global team headquartered in Geneva, Switzerland, and based in several countries worldwide. MMC is a leading source for independent and high-quality data, research, analysis and expertise on mixed migration. MMC aims to increase understanding of mixed migration, to positively impact global and regional migration policies, to inform evidence-based protection responses for people on the move and to stimulate forward thinking in public and policy debates on mixed migration. MMC’s overarching focus is on human rights and protection for all people on the move. The MMC is part of and governed by the Danish Refugee Council. For more information on MMC visit our website ( (http://www.mixedmigration.org/)).

## Purpose and Objective of the consultancy

The overall purpose of the consultancy is to design, test, validate and document a standardized DAC Estimation Tool that can be implemented by cities/municipalities across the nine SUIDAC target cities. The consultancy directly contributes to Activity 1.1 and Activity 1.3 of the SUIDAC project which require the review of existing approaches to estimating DAC populations and the development of a standardized and replicable estimation methodology for use by city authorities. The consultant will work closely with MMC, city authorities, Technical Implementing Partners (TIPs) and other relevant stakeholders to develop a practical, rigorous and scalable methodology that enables cities to estimate DAC population size and distribution.

## Deliverables

The Consultant will contribute to the following task:

**Phase**

**Expected deliverables**

**Indicative description tasks**

**Maximum expected timeframe**

**Task 1**

**Literature and Methodological review and Assessment of existing city data sources**

- Conduct a review of global, regional and country specific methodologies used to estimate Displacement Affected Communities (DAC).
- Analyze and assess the feasibility of integrating available data sources for DACs with municipal, national and humanitarian data sets.
- Identify methodologies suitable for low-data urban environments and produce recommendations for the SUIDAC context.

**13th November -31st December, 2026**

**Task 2**

**Development of the DAC Estimation Tool**

- Design a standardized and replicable estimation framework suitable for all SUIDAC cities
- Design user-friendly and city-specific methodology note to be shared with city officials.
- Develop a practical implementation model that municipalities can apply without advanced statistical expertise.

**13th November – 31st December, 2026**

**Task 3**

**Determination of DACs per City**

- Test out the methodology for city-level DAC population estimations and develop estimates. This will be dependent on municipality fieldwork/data provisions in order to develop an estimate.
- Establish methodological groundings for confidence intervals, margin of errors and contextual estimation notes for the SUIDAC cities.

**1st December, 2026 – 19th February, 2027**

**Task 4**

**Validation and stakeholder consultation**

- Present the findings of the DAC estimates and the methodology note to MMC and facilitate consultation and validation workshops.
- Incorporate feedback and update methodology note
- Document lessons learned and methodological refinements.

**22nd February -5th March, 2027**

**Task 5**

**Finalisation and Capacity Building Package**

- Finalize the methodology and user guidance materials including the training guide and practical implementation guidance for municipalities.
- Prepare technical documentation outlining assumptions, limitations and recommended applications for MMC and city authorities.

**8th March – 31st March 2027**

The Consultant will provide the documentation***by email on a Word, PDF document and link format.***

## Duration, timeline, and payment

The consultancy will run for five (5) months, from Mid November 2026 to March 2027.

Payment Schedule is:

1. 20% of the total costs upon signing of the contract
2. 50% upon completion of tasks 1-3 in the deliverables above
3. 30% upon satisfactory completion of the tasks, methodology note, DAC estimation per city and capacity building package.

## Proposed Composition of Team

- Principle DAC estimation consultant

## Eligibility, qualification, and experience required

### Essential:

- A degree and post-graduate degree in Statistics, International Affairs, Political science ,Demography, Economics, Data Science, Geography, Migration Studies, Urban Planning, Public Policy, BA in Political Science; MA in International Affairs and Development; a related area of study.
- A minimum of 5 years broad and deep experience with conducting applied research on urban forced displacement populations in fragile contexts
- Ddemonstrable experience in developing population estimation or demographic methodologies.
- A strong and proven background (e.g. through prior publications), knowledge and understanding of urban displacement regionally and globally.
- Proven experience in statistical modelling and estimation techniques using administrative, survey, census and geospatial data sets.
- Strong written and verbal communication skills.
- Ability to work independently, meet deadlines, and manage multiple tasks.
- Excellent analytical and reporting skills, particularly for donor audiences.
- Fluency in written and spoken English.
- Prior experience with MMC is a plus.

## Technical supervision

The selected consultant will work under the supervision of:

- ***Head of MMC Eastern and Southern Africa,***
- ***MMC Data and Research Manager***

## Location and support

Most coordination with MMC will take place virtually through weekly calls and weekly update emails.

The Consultant will provide a computer and any other required electronic equipment needed for the assignment.

## Travel

No travel will be required for this assignment.