Data Science Consultant (Psychosocial Risk Management)

United Nations; Deutschland; Remote; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

An international organization is seeking a Data Science Consultant to support psychosocial risk management strategies. This role involves data analysis, machine learning, and the development of a comprehensive risk management tool. Candidates must have a PhD and at least 10 years of relevant experience, including work with international entities. Fluency in English is required, and knowledge of an additional UN language is an advantage. This position promotes staff well-being across various duty stations.

Qualifikationen

• Minimum 10 years of experience in psychosocial risk management and data analytics.
• Experience implementing projects with international organizations.
• Proven ability in complex data analysis and visualization.

Aufgaben

• Undertake data analysis and build the psychosocial risk management tool.
• Establish a dynamic data visualization platform.
• Prepare a technical paper documenting methodology and application.

Kenntnisse

Psychosocial risk management

Machine learning

Data analytics

Data visualization

Ausbildung

PhD in Occupational Health Psychology

Jobbeschreibung

Overview

Result of Service

• The UN MHS Team is supported in coordinating psychosocial risk management through evidence-based tools and capacity-building measures.
• Psychosocial risks to UN personnel are systematically assessed across diverse duty stations and operational contexts.
• Preventive strategies are strengthened through predictive insights and proactive risk management.
• The effectiveness and sustainability of mitigation measures are evaluated through data-driven analysis.

Work Location

Homebased

Expected duration

6 months

Duties and Responsibilities

Background: The UN System Workplace Mental Health and Well-being Strategy (MHS) for 2024 and beyond was approved and launched in late 2023. The Strategy emphasizes a preventive and systemic approach to mental health. The Strategy presents a comprehensive framework aimed at:

• Preventing mental health risks in the workplace
• Promoting well-being and safeguarding mental health
• Supporting staff experiencing mental health conditions

To drive accountability and measure progress, the Strategy introduces clear success indicators for each of its three pillars. A scorecard has been developed, featuring three indicators per pillar, and UN organizations are expected to report annually on their progress. The first indicator under the Prevention pillar is Risk Assessment, which calls on organizations to evaluate psychosocial risks and implement practical mitigation plans to address identified concerns. There is currently no standardized methodology across the UN system for assessing psychosocial risks, and existing data highlights the need for stronger preventive measures. In response, the MHS Team is developing a unified psychosocial risk management model to ensure consistency in approach while allowing for contextual adaptation across the UN system. This model reinforces the Strategy's core principles of collaboration, shared responsibility, and system-wide alignment, enabling organizations to proactively identify and mitigate risks while fostering a culture of well-being.

In alignment with this commitment, a Data Science Consultant is required to support the implementation of a Psychosocial Risk Management tool for UN system organizations. The duties and responsibilities of the Psychosocial Risk Management Data Science Consultant: This consultancy seeks a data science specialist with expertise in psychosocial risk management to support the MHS team and its consultants in designing and implementing a comprehensive psychosocial risk management tool across UN system entities. Working at the intersection of organizational development, advanced analytics, and staff well-being, the consultant will provide technical leadership in the co-development of an innovative tool to enable sustainable psychosocial risk management. The consultant will be responsible for:

• Undertake data analysis and build the PSRM tool using advanced analytics, including machine learning, to identify risk patterns and predictive insights.
• Establish a dynamic data visualization platform to present results interactively.
• Pilot test the PSRM tool and prepare a technical paper documenting its methodology, validation, and application for internal and inter-agency reference.

Qualifications / skills

Advanced university degree (PhD) in Occupational Health Psychology, Occupational Psychology, Organizational Psychology, or Management is required. A minimum of 10 years of combined experience in psychosocial risk management, machine learning, and data analytics is required. Experience of implementing multiagency psychosocial risk management projects with international organizations is required. Experience in complex data analysis, including survey design, statistical interpretation, and data visualization/dashboard is required. Experience in development of functional machine learning models for detecting risk patterns and generating predictive insights is required. Experience in preparing technical documentation, methodological papers, or guidance materials for inter-agency stakeholders is required. Experience drafting technical reports, policy briefs, and strategic documents for diverse audiences, including senior leadership, inter-agency stakeholders, and external partners is desirable. Prior experience working with the UN system or other international organizations is desirable. Active membership with a recognized professional body or relevant licensure/certification in Organizational Psychology, Occupational Psychology, or Management is desirable.

Languages

English and French are the working languages of the United Nations Secretariat. Fluency in spoken and written English is required. Knowledge of an additional official UN language is an advantage. Arabic, Chinese, English, French, Russian and Spanish are the official languages of the United Nations Secretariat.

Additional Information

Not available.

No Fee

THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS' BANK ACCOUNTS.