Job no: 591879 Contract type: Consultant Duty Station: London Level: Consultancy Location: United Kingdom Categories: Education Contract Duration: 3 months Working arrangement: Home based/ Remote UNICEF works in over 190 countries and territories to save children’s lives, defend their rights, and help them fulfill their potential, from early childhood through adolescence. At UNICEF, we are committed, passionate, and proud of what we do for as long as we are needed. Promoting the rights of every child is not just a job – it is a calling. UNICEF is a place where careers are built. We offer our staff diverse opportunities for professional and personal development that will help them reinforce a sense of purpose while serving children and communities across the world. We welcome everyone who wants to belong and grow in a diverse and passionate culture, coupled with an attractive compensation and benefits package. EOF wants to recruit a Consultant (Data and Analytics) to support the development of EOF’s data science platform. This gives the opportunity to utilize some new extensive datasets and advanced machine learning and Artificial Intelligence (AI) libraries. Scope of Work Data Management

Onboarding and structuring datasets into Azure platform. Sourcing interesting data and onboarding into data environment. Permission and data system maintenance.

Data Analytics

Cleaning and analysing data; primarily using Python. Assisting with advance analytics using Databricks & machine learning libraries. Assisting in iteration of modelling and coding infrastructure.

Visualisations

Assisting in the development of visualizations. Sourcing and trialling of third‑party visualisation software. Working with wider EOF team to refine visualisations.

Minimum requirements Education A degree in data science, analytics, statistics, economics, applied mathematics, finance, or a related field, is required. A Masters degree in a relevant subject is preferred but not required. Work Experience

A minimum of 1 year of relevant professional experience in data science, computer science, finance, statistics, economics, business, or a related field, is required. Proven experience with data science through projects or working experience. Proven experience with relevant tools such as PowerBI, MapBox, DataBricks. Proven experience working in the education sector, preferably in a development context. Proven experience with outcomes‑based financing or innovative finance models is highly desirable.

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