Job Description

UNICEF works in some of the world’s toughest places, to reach the world’s most disadvantaged children. To save their lives. To defend their rights. To help them fulfill their potential. Across 190 countries and territories, we work for every child, everywhere, every day, to build a better world for everyone. And we never give up. For every child, HOPE Consultancy Title: Machine Learning Consultant Section/Division/Duty Station: Division of Analysis Planning and Monitoring NYHQ Duration: 1 November 2024 to 15 October 2025 Home/ Office Based: NYHQ / Remote About UNICEF – DO NOT EDIT If you are a committed, creative professional and are passionate about making a lasting difference for children, the world’s leading children’s rights organization would like to hear from you. For 70 years, UNICEF has been working on the ground in 190 countries and territories to promote children’s survival, protection and development. Purpose Of Activity/ Assignment UNICEF requires the services of an external consultant to design, develop, test and deploy machine learning models to enhance the efficiency and effectiveness of vaccine stock management systems, subnational distribution strategies, planning processes, track adherence to stock management protocols, and strengthening vaccine accountability standard operating procedures (SOPs) through the active use of data for planning and decision-making. The consultant will support UNICEF’s Program Group Immunization Division (PG-I) in optimizing vaccine supply chains, ensuring that life-saving vaccines reach every child, regardless of geographical or logistical challenges. The consultant will liaise with the Data, Analytics, Planning and Monitoring Division (DAPM) and with Program Group Immunization (PG-I) to deploy robust machine-learning models within the UNICEF Azure cloud environment. Scope of Work: Plan on how to use the existing data sources together Develop, test, pilot and deploy robust machine learning (ML) models Qualifications Education: BACHELORS in Data Science, Computer Science, Applied Mathematics, and related fields Work Experience: Knowledge/Expertise/Skills required: Proven experience in developing, training, and deploying machine learning models, particularly for supply chain optimization or similar logistical challenges. Expertise in supervised, unsupervised, and reinforcement learning techniques. Proficiency in Python. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong experience with deploying machine learning models in cloud environments, particularly Microsoft Azure. Familiarity with Azure Machine Learning, Azure Functions, Azure Databricks, or similar services. Expertise in working with large datasets, including data cleaning, feature engineering, and data visualization. Experience with SQL and NoSQL databases. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills to work effectively with cross-functional teams. Requirements: Completed profile in UNICEF’s e-Recruitment system Upload copy of academic credentials Financial proposal that will include/ reflect the costs per each deliverable and the total lump-sum for the whole assignment (in US$) to undertake the terms of reference. Only shortlisted candidates will be contacted and advance to the next stage of the selection process. For every Child, you demonstrate UNICEF’s core values of Commitment, Diversity and Integrity. #J-18808-Ljbffr NLP PEOPLE

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