Predictive Modeling Consultant at Idmibok International - Nationwide

Idmibok International is a 360 systems diagnostic and correction company. We offer holistic, pragmatic, and robust systems appraisals, to intervening in a targeted yet comprehensive manner to address critical organizational, business and development related issues. By collaborating with global and local development and private entities - such as governments, bilateral and multilateral donors, non-governmental organizations and the private sector, we draw on breadth and wealth of experience in diverse environments or ecosystems,globally and across Africa, including in South Sudan, and extensively in Nigeria.

We are recruiting to fill the position below:

Job Title: Predictive Modeling Consultant

Location: Nationwide
Employment Type: Temporary

Job Summary

• This is a consultancy for a proposal the organization is working on. The consultant will conduct a market assessment of the needs and potential demand for predictive modeling and foresight analysis products and will also identify potential risks and barriers related to the development and dissemination (commercial or not) of such a system, especially on rights issues (intellectual property, access rights, user rights, legal liability, etc.). This is a remote position with some traveling.

Key responsibilities
Task 1: Assess the demand and needs for products of prospective analysis and forecasting of forced displacement in the Sahel, by:

• Determining the relevance of a predictive modeling and prospective analysis initiative for the various humanitarian actors in the Sahel such as donors, humanitarian organizations, decisionmakers/government, international agencies, etc. according to their specific needs.
• Determine why other types of forecasts (similar or different) did not have the expected success as they were not favored by the market.
• Establishing what types of products are suitable for humanitarian actors' activities and for donors and decision-makers' demands.
• Identifying the gaps and strengths - both individual and collective - of existing predictive modeling and prospective analysis systems “in the market" today.

Task 2: Analyze possible barriers and risks to be considered in the development of predictive modeling tools for central Sahel, by:

• Determining what the access, user and intellectual property rights related to the existing databases and analyses are and how they should be dealt with.
• Establishing what dissemination / distribution strategy(ies) should be developed for the final product, considering legal issues.
• Identify legal risks.

Required Skills and Experience

• Advanced university degree in Economics, Marketing, Law or a related discipline.
• At least 5 years of professional experience in market research, including analytical products and intellectual property/use of data thematic.
• Demonstrate knowledge/understanding of the humanitarian sector and displacement issues in the Sahel or similar experience in the Sahel zone.
• Demonstrate an understanding and experience in predictive modeling and/or prospective analysis.
• Proven experience in market research including analytical products and intellectual property/ use of data thematics.
• Proven relevant experience in the fields of predictive modeling and/or prospective analysis
• Proven expertise in writing reports.
• Proven experience in designing research tools and facilitating focus groups or conducting individual interviews, including remotely.
• Excellent writing skills in French or English.

Application Closing Date
28th January, 2021.

Method of Application
Interested and qualified candidates should send their CV, Cover Letter (addressing previous related work and how you intend to carry out this assessment), proof of similar assignments (e.g. reports written on market assessments conducted and other relevant documents) and Certificatesto: [email protected] with Job Title as the subject, e.g "Predictive Modeling Consultant".

Note: Applications are encouraged from all qualified candidates without distinction on grounds of race, color, sex, national origin, age, religion, disability, sexual orientation and gender identity.