Senior Data Scientist, P5
2026-01-24T05:48:20+00:00
United Nations Environment Programme (UNEP)
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https://www.unep.org/
FULL_TIME
Nairobi
Nairobi
00100
Kenya
Nonprofit, and NGO
Science & Engineering, Computer & IT, Management, Business Operations, Civil & Government, Social Services & Nonprofit
2026-02-21T17:00:00+00:00
8
Background information about the job or company (e.g., role context, company overview)
The United Nations Environment Programme (UN Environment) is the leading global environmental authority that sets the world's environmental agenda, promotes the coherent implementation of the environmental dimension of sustainable development within the United Nations system and serves as an authoritative advocate for the environment.
Responsibilities or duties
Heads the Applications, AI and Data Science function, with overall responsibility for UNEP data platforms and applications on both the corporate and programmatic sides.
Plans and directs the work programme on data science, providing both methodical and managerial supervision of all activities; Plans, organizes and manages staff and evaluates their performance.
Takes the lead in exploration, identification, and acquisition of data sources to determine their suitability for use in decision making and advancing the goals of the organization. Enables broader use of data sources by applying quality methods to structure, clean, format, parse, and standardize for analytical use.
Ensures close working relationships with key stakeholders to leverage the use of data science methods to support their programmatic areas with solutions that assist them in accomplishing their mandates.
Coordinates the design and development of data science products to reveal insights and provides an understanding or knowledge of the data that would otherwise not be detected without the application of advanced analytical methods such as artificial intelligence, machine learning, predictive analytics, data and text mining, natural language processing, statistics, and use of relevant algorithms and computational approaches.
Orchestrates the liaison with technology stakeholders to access infrastructure, software and services needed to develop and deploy data science products.
Liaises with the Business Analysis team to translate user requirements into technical roadmaps and supervise their implementation in collaboration with business owners.
Coordinates the design and development of customized visualization and presentation products to reveal the findings of analysis for clients, suitable for all forms of production to include briefings, reports, documentation to oversight bodies, interactive interfaces, and publication quality outputs.
Guides, trains and supervises staff in the function.
Represents the organization and the Chief Digital Officer at international and regional meetings and inter-agency activities, as well as internal meetings as needed.
Advises senior management on trends and developments in data science and recommends appropriate courses of action.
Qualifications or requirements (e.g., education, skills)
Advanced university degree (Master’s degree or equivalent) in data science, mathematics, statistics, engineering or any related field involving data science is required.
A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree.
A degree in data science with a focus on environmental applications is desirable.
Experience needed
A minimum of ten years of progressively responsible experience in data science, data analytics, applied mathematics, or software engineering, is required. Experience in statistical and computational methods, such as clustering, classification, correlation, dimension reduction, forecasting, machine/deep learning, and Generative AI is required.
Experience in data Science tools such as Jupyter, Matlab, Knime, SPSS, SAS or similar Statistical Programming Languages such as R, Python, Javascript, tools for large datasets such as Hadoop, Spark is required. Experience managing software development and data science teams to deliver production-grade data platforms and applications is required.
Experience managing the delivery of environmental applications with an international or multinational setting is desirable.
* Heads the Applications, AI and Data Science function, with overall responsibility for UNEP data platforms and applications on both the corporate and programmatic sides. * Plans and directs the work programme on data science, providing both methodical and managerial supervision of all activities; Plans, organizes and manages staff and evaluates their performance. * Takes the lead in exploration, identification, and acquisition of data sources to determine their suitability for use in decision making and advancing the goals of the organization. Enables broader use of data sources by applying quality methods to structure, clean, format, parse, and standardize for analytical use. * Ensures close working relationships with key stakeholders to leverage the use of data science methods to support their programmatic areas with solutions that assist them in accomplishing their mandates. * Coordinates the design and development of data science products to reveal insights and provides an understanding or knowledge of the data that would otherwise not be detected without the application of advanced analytical methods such as artificial intelligence, machine learning, predictive analytics, data and text mining, natural language processing, statistics, and use of relevant algorithms and computational approaches. * Orchestrates the liaison with technology stakeholders to access infrastructure, software and services needed to develop and deploy data science products. * Liaises with the Business Analysis team to translate user requirements into technical roadmaps and supervise their implementation in collaboration with business owners. * Coordinates the design and development of customized visualization and presentation products to reveal the findings of analysis for clients, suitable for all forms of production to include briefings, reports, documentation to oversight bodies, interactive interfaces, and publication quality outputs. * Guides, trains and supervises staff in the function. * Represents the organization and the Chief Digital Officer at international and regional meetings and inter-agency activities, as well as internal meetings as needed. * Advises senior management on trends and developments in data science and recommends appropriate courses of action.
* Data science * Data analytics * Applied mathematics * Software engineering * Statistical methods * Computational methods * Clustering * Classification * Correlation * Dimension reduction * Forecasting * Machine learning * Deep learning * Generative AI * Jupyter * Matlab * Knime * SPSS * SAS * R * Python * Javascript * Hadoop * Spark * Software development management * Data science team management * Production-grade data platforms * Application development
* Advanced university degree (Master’s degree or equivalent) in data science, mathematics, statistics, engineering or any related field involving data science is required. * A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree. * A degree in data science with a focus on environmental applications is desirable.
JOB-69745d2452234
Vacancy title:
Senior Data Scientist, P5
[Type: FULL_TIME, Industry: Nonprofit, and NGO, Category: Science & Engineering, Computer & IT, Management, Business Operations, Civil & Government, Social Services & Nonprofit]
Jobs at:
United Nations Environment Programme (UNEP)
Deadline of this Job:
Saturday, February 21 2026
Duty Station:
Nairobi | Nairobi
Summary
Date Posted: Saturday, January 24 2026, Base Salary: Not Disclosed
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JOB DETAILS:
Background information about the job or company (e.g., role context, company overview)
The United Nations Environment Programme (UN Environment) is the leading global environmental authority that sets the world's environmental agenda, promotes the coherent implementation of the environmental dimension of sustainable development within the United Nations system and serves as an authoritative advocate for the environment.
Responsibilities or duties
Heads the Applications, AI and Data Science function, with overall responsibility for UNEP data platforms and applications on both the corporate and programmatic sides.
Plans and directs the work programme on data science, providing both methodical and managerial supervision of all activities; Plans, organizes and manages staff and evaluates their performance.
Takes the lead in exploration, identification, and acquisition of data sources to determine their suitability for use in decision making and advancing the goals of the organization. Enables broader use of data sources by applying quality methods to structure, clean, format, parse, and standardize for analytical use.
Ensures close working relationships with key stakeholders to leverage the use of data science methods to support their programmatic areas with solutions that assist them in accomplishing their mandates.
Coordinates the design and development of data science products to reveal insights and provides an understanding or knowledge of the data that would otherwise not be detected without the application of advanced analytical methods such as artificial intelligence, machine learning, predictive analytics, data and text mining, natural language processing, statistics, and use of relevant algorithms and computational approaches.
Orchestrates the liaison with technology stakeholders to access infrastructure, software and services needed to develop and deploy data science products.
Liaises with the Business Analysis team to translate user requirements into technical roadmaps and supervise their implementation in collaboration with business owners.
Coordinates the design and development of customized visualization and presentation products to reveal the findings of analysis for clients, suitable for all forms of production to include briefings, reports, documentation to oversight bodies, interactive interfaces, and publication quality outputs.
Guides, trains and supervises staff in the function.
Represents the organization and the Chief Digital Officer at international and regional meetings and inter-agency activities, as well as internal meetings as needed.
Advises senior management on trends and developments in data science and recommends appropriate courses of action.
Qualifications or requirements (e.g., education, skills)
Advanced university degree (Master’s degree or equivalent) in data science, mathematics, statistics, engineering or any related field involving data science is required.
A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree.
A degree in data science with a focus on environmental applications is desirable.
Experience needed
A minimum of ten years of progressively responsible experience in data science, data analytics, applied mathematics, or software engineering, is required. Experience in statistical and computational methods, such as clustering, classification, correlation, dimension reduction, forecasting, machine/deep learning, and Generative AI is required.
Experience in data Science tools such as Jupyter, Matlab, Knime, SPSS, SAS or similar Statistical Programming Languages such as R, Python, Javascript, tools for large datasets such as Hadoop, Spark is required. Experience managing software development and data science teams to deliver production-grade data platforms and applications is required.
Experience managing the delivery of environmental applications with an international or multinational setting is desirable.
Work Hours: 8
Experience in Months: 12
Level of Education: postgraduate degree
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