Associate Data Scientist (P2), Vienna, Austria

Organization: International Atomic Energy Agency (IAEA)

Country: Austria

City: Vienna

Office: IAEA Vienna, Austria

Closing date: Tuesday, 9 November 2021

Associate Data Scientist(P2)

( 2021/0520 (202451) )

Organization: SGIM-Division of Information Management

Primary Location: Austria-Vienna-Vienna-IAEA Headquarters

Job Posting: 2021-10-13, 7:04:18 AM

Contract Type : Temporary Assistance


Probation Period : 1 Year

Organizational Setting

The Department of Safeguards is the organizational hub for the implementation of IAEA safeguards. The IAEA implements nuclear verification activities for some 180 States in accordance with their safeguards agreements. The safeguards activities are undertaken within a dynamic and technically challenging environment including advanced nuclear fuel cycle facilities and complemented by the political diversity of the countries.

The Department of Safeguards consists of six Divisions: three Operations Divisions: A, B and C, for the implementation of verification activities around the world; three Technical Divisions: Division of Concepts and Planning, Division of Information Management, and Division of Technical and Scientific Services; as well as two Offices: the Office of Safeguards Analytical Services and the Office of Information and Communication Services.

The main objective of the Department is to maintain and further develop an effective and efficient verification system in order to draw independent, impartial and timely safeguards conclusions, thus providing credible assurances to the international community that States are in compliance with their safeguards obligations. The departmental operating environment is interactive, participative and dynamic with continuous inputs received from the Board of Governors, the General Conference, policy- and decision-makers, as well as counterparts in Member States and in the international development community.

The Division of Information Management comprises four Sections and provides the Department of Safeguards with data processing services, secure information distribution, information analysis and knowledge generation necessary to draw independent, impartial and soundly based safeguards conclusions.

Main Purpose

Reporting to the Team Leader (SGIM) and in close collaboration with the Data Scientist, the Associate Data Scientist supports the development and enhancement of analytical tools and statistical models supporting safeguards analysis and the drawing of safeguards conclusions. He/she contributes to the development and implementation of appropriate analytical models to integrate existing and new safeguards tools in support of the Department’s objectives with regard to nuclear verification related evaluations.


The Associate Data Scientist is: 1) a team member, contributing to data science projects within the Division and the development of analytical models and algorithms; 2) a researcher/analyst, developing mathematical and statistical techniques to enhance information analysis; and 3) a collaborator, contributing to broader efforts to develop and improve information analytical capabilities across the Department.

Functions / Key Results Expected

Support the Divisional efforts to develop and enhance analytical tools and statistical models to support safeguards business objectives by identifying valuable data sources of safeguards-relevant information and automating collection and analysis processes.

Contribute to the development and application of technologies, such as machine-learning models and deep-learning algorithms, to enable advanced product functionality.

Provide input to the development of processes and tools to monitor the model performance and accuracy of analytical tools and statistical models.

Contribute to the development and testing of effective metrics, key performance indicators, and visualization techniques.

Contribute to the development and maintenance of effective standards, guidelines and operating procedures for the use of data science tools.

Participate in meetings and provide internal training on data science approaches, tools and techniques.

Competencies and Expertise

Core Competencies

Name Definition


Communicates orally and in writing in a clear, concise and impartial manner. Takes time to listen to and understand the perspectives of others and proposes solutions.

Achieving Results

Takes initiative in defining realistic outputs and clarifying roles, responsibilities and expected results in the context of the Department/Division’s programme. Evaluates his/her results realistically, drawing conclusions from lessons learned.


Actively contributes to achieving team results. Supports team decisions.

Planning and Organizing

Plans and organizes his/her own work in support of achieving the team or Section’s priorities. Takes into account potential changes and proposes contingency plans.

Functional Competencies

Name Definition

Analytical thinking

Gathers and analyses information, identifying critical relationships and patterns among data and proposes workable solutions.

Commitment to continuous process improvement

Identifies opportunities for process, system and structural improvement as well as improving current practices, increasing effectiveness and achieving efficiency gains. Actively supports the application of sound quality management standards and process improvement.

Judgement/decision making

Consults with supervisor/manager and makes decisions in full compliance with the Agency’s regulations and rules.


Able to remain calm in emotionally charged situations. Accepts constructive feedback in a positive manner and is able to cope with setbacks.

Technical/scientific credibility

Acquires and applies new skills to remain up to date in his/her area of expertise. Reliably applies knowledge of basic technical/scientific methods and concepts.

Required Expertise

Function Name Expertise Description

Information Management

Information Analytics Capabilities and Modelling

Expertise in statistical techniques and concepts including data visualization and reporting.

Information Management

Information Analytics Expert Tools

Demonstrated skills in SQL scripts for analysis and reporting and with the programming language Python.

Information Management

Information Discovery

Knowledge of tools to improve the discoverability of information and machine learning techniques (clustering, decision tree learning, natural language processing, artificial neural networks, etc.).

Qualifications, Experience and Language skills

Bachelor’s Degree

University degree in data science or a related field, e.g. applied mathematics, statistics, scientific computing.

Minimum of two years of relevant working experience in a data science environment contributing to data science projects.

Experience in machine learning methodologies, for example, supervised and unsupervised learning, deep learning, etc. and in building rapid prototypes.

Excellent oral and written command of English. Knowledge of other official IAEA languages (Arabic, Chinese, French, Russian and Spanish) is an asset.


The IAEA offers an attractive remuneration package including a tax-free annual net base salary starting at US $48805 (subject to mandatory deductions for pension contributions and health insurance), a variable post adjustment which currently amounts to US $ 23524*, dependency benefits, rental subsidy, education grant, relocation and repatriation expenses; 6 weeks‘ annual vacation, home leave, pension plan and health insurance


Applications from qualified women and candidates from developing countries are encouraged

Applicants should be aware that IAEA staff members are international civil servants and may not accept instructions from any other authority. The IAEA is committed to applying the highest ethical standards in carrying out its mandate. As part of the United Nations common system, the IAEA subscribes to the following core ethical standards (or values): Integrity, Professionalism and Respect for diversity. Staff members may be assigned to any location. The IAEA retains the discretion not to make any appointment to this vacancy, to make an appointment at a lower grade or with a different contract type, or to make an appointment with a modified job description or for shorter duration than indicated above. Testing may be part of the recruitment process

Link to the organization’s job offer: