Psychosocial Risk Management Data Science Consultant

Job Posting Organization:
The United Nations (UN) is an international organization founded in 1945, currently comprising 193 member states. Its mission is to promote peace, security" style="border-bottom: 1px dotted #007bff !important;">security, and cooperation among nations, addressing global challenges such as poverty, inequality, and climate change. The UN operates in various countries around the world, employing thousands of individuals across diverse fields. The UN System Workplace Mental Health and Well-being Strategy (MHS) was launched in late 2023, emphasizing a preventive and systemic approach to mental health in the workplace.

Job Overview:
The Psychosocial Risk Management Data Science Consultant will play a crucial role in supporting the UN MHS Team in coordinating psychosocial risk management initiatives. This position involves the development and implementation of a comprehensive psychosocial risk management tool tailored for UN system organizations. The consultant will leverage advanced analytics and machine learning techniques to identify risk patterns and provide predictive insights. The role requires a strong focus on data analysis, visualization, and the creation of technical documentation to ensure the effective application of the tool across various UN entities. The consultant will also be responsible for piloting the tool and documenting its methodology, validation, and application for both internal and inter-agency reference, thereby contributing to the overall goal of enhancing mental health and well-being within the UN workforce.

Duties and Responsibilities:
The consultant will undertake a variety of responsibilities, including:

• Conducting comprehensive data analysis to build the Psychosocial Risk Management (PSRM) tool using advanced analytics and machine learning techniques.
• Identifying risk patterns and generating predictive insights to inform preventive strategies.
• Establishing a dynamic data visualization platform to present results interactively, facilitating better understanding and engagement among stakeholders.
• Pilot testing the PSRM tool to evaluate its effectiveness and usability in real-world scenarios.
• Preparing a detailed technical paper that documents the methodology, validation process, and application of the PSRM tool for both internal use and inter-agency reference.
• Collaborating with the MHS team and other consultants to ensure the tool aligns with the overarching goals of the UN MHS Strategy.
• Engaging with various UN entities to gather feedback and refine the tool based on practical experiences and insights.

Required Qualifications:
Candidates must possess an advanced university degree (PhD) in Occupational Health Psychology, Occupational Psychology, Organizational Psychology, or Management. A minimum of 10 years of combined experience in psychosocial risk management, machine learning, and data analytics is essential. Additionally, candidates should have experience implementing multi-agency psychosocial risk management projects with international organizations, as well as expertise in complex data analysis, survey design, statistical interpretation, and data visualization/dashboard creation. Experience in developing functional machine learning models for detecting risk patterns and generating predictive insights is also required. Furthermore, candidates should have a proven track record in preparing technical documentation, methodological papers, and guidance materials for inter-agency stakeholders, along with experience drafting technical reports, policy briefs, and strategic documents for diverse audiences, including senior leadership and external partners.

Educational Background:
An advanced university degree (PhD) in relevant fields such as Occupational Health Psychology, Occupational Psychology, Organizational Psychology, or Management is required for this position. This educational background is critical for understanding the complexities of psychosocial risks and the methodologies needed to address them effectively.

Experience:
The position requires a minimum of 10 years of relevant experience, specifically in psychosocial risk management, machine learning, and data analytics. Candidates should have a strong background in implementing psychosocial risk management projects within international organizations, showcasing their ability to navigate complex environments and deliver impactful results. Experience in data analysis, survey design, and statistical interpretation is crucial, as is familiarity with developing machine learning models for risk detection and predictive analytics.

Languages:
Fluency in spoken and written English is mandatory for this position, as it is one of the working languages of the United Nations Secretariat. Knowledge of French is also required, as it is another official working language. Additionally, proficiency in any other official UN language, such as Arabic, Chinese, Russian, or Spanish, is considered an advantage and may enhance a candidate's profile.

Additional Notes:
The consultancy is expected to last for a duration of 6 months and is primarily home-based, allowing for flexibility in work location. It is important to note that the United Nations does not charge any fees at any stage of the recruitment process, ensuring a fair and transparent hiring process. The organization is committed to maintaining the confidentiality and security of applicants' personal information, particularly regarding financial details.