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๐Ÿ‡ฆ๐Ÿ‡น Associate Data Scientist (P2) ๐Ÿ“Š UNODC International Narcotics Control Board Secretariat Job in Vienna, Austria ๐Ÿค–

Posted 6 November 2026

Deadline

19 Nov

The United Nations Office on Drugs and Crime (UNODC) is recruiting an Associate Data Scientist at P-2 level for the Secretariat of the International Narcotics Control Board (INCB) in Vienna, Austria. The role explores and prepares data sources, builds data science products using methods such as machine learning, predictive analytics and natural language processing, and designs visualizations for the Board and partners. It requires a Master's degree (or a bachelor's with qualifying experience) and at least two years of experience in data analytics or data science, and applications close on 19 November 2026. At Youth Works Hub, we went through the full job opening and set out every duty, requirement and condition below.


Job Opening at a Glance


๐Ÿ’ผ Position: Associate Data Scientist, P2

๐Ÿ”ข Job Opening ID: 285621

๐ŸŽ–๏ธ Category and level: P-2

๐Ÿ“‹ Recruitment type: Position Specific

๐Ÿ›๏ธ Department/Office: United Nations Office on Drugs and Crime

๐Ÿ“ Duty station: Vienna, Austria

๐Ÿ“ Initial appointment: one year, extension subject to the availability of funds


Organizational Setting and Reporting


The position is located in the Office of the Secretary (OS), Secretariat of the International Narcotics Control Board (SINCB), Division for Treaty Affairs (DTA), UNODC, in Vienna. The incumbent reports to the manager of the GRIDS Programme. The INCB Secretariat is an administrative entity of UNODC that reports directly to the Board on substantive matters. The UNODC website is listed in the Links section below.


Finding and Preparing Data Sources


๐Ÿ”Ž Assist in the exploration, identification and acquisition of data sources to determine their suitability for decision making and for advancing the organization's goals

๐Ÿงน Enable broader use of data by applying quality methods to structure, clean, format, parse and standardize it for analytical use

๐Ÿ—„๏ธ Acquire and clean data from primary or secondary sources and maintain databases/data systems

โš™๏ธ Implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality


Building Data Science Products


๐Ÿง  Contribute to the design and development of data science products that reveal insights not detectable without advanced analytical methods, such as:


๐Ÿค– Artificial intelligence and machine learning

๐Ÿ“ˆ Predictive analytics

โ›๏ธ Data and text mining

๐Ÿ—ฃ๏ธ Natural language processing

๐Ÿ“ Statistics, relevant algorithms and computational approaches


Trends, Visualization and Reporting


๐Ÿ“Š Identify, analyze and interpret trends or patterns using basic machine learning techniques and statistical methods to find relevant features and variables in structured data, and develop corporate visualization solutions

๐Ÿ“Œ Track and report on progress of department-specific data initiatives

๐Ÿ–ผ๏ธ Contribute to customized visualization and presentation products for the Board, clients, management and international partners, including briefings, reports, documentation to oversight bodies, interactive interfaces and publication-quality outputs

๐Ÿง‘โ€๐Ÿซ Promote the use of data science solutions through client training (staff, internal and external partners) and products, tools and processes that extend the capabilities of client offices

๐Ÿ“‹ Perform other work-related duties as required


โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

๐ŸŒ All opportunities in Austria โ†’

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Competency: Professionalism


๐Ÿ”„ Knowledge of the data analysis life cycle, from ingest and wrangling to analysis and visualization

๐Ÿงฎ Knowledge of statistical and computational methods such as clustering, classification, correlation, dimension reduction, forecasting, machine learning, outlier detection and regression

๐ŸŽฏ Understanding of the impact of data-driven and evidence-based decisions on the organization

๐Ÿ… Pride in work and achievements, professional competence and mastery of subject matter, meeting commitments and deadlines, persistence with difficult problems and calm in stressful situations

โš–๏ธ Responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work


Competency: Teamwork


๐Ÿค Works collaboratively with colleagues to achieve organizational goals

๐Ÿ’ก Solicits input by genuinely valuing others' ideas and expertise, and is willing to learn from others

๐Ÿ‘ฅ Places team agenda before personal agenda

โœ… Supports and acts in accordance with final group decisions, even when they do not fully reflect own position

๐Ÿ† Shares credit for team accomplishments and accepts joint responsibility for team shortcomings


Competency: Technological Awareness


๐Ÿ’ป Keeps abreast of available technology

๐Ÿ”ง Understands the applicability and limitations of technology to the work of the office

๐Ÿš€ Actively seeks to apply technology to appropriate tasks and shows willingness to learn new technology


Education Requirements


๐ŸŽ“ An advanced university degree (Master's degree or equivalent) in data science, computer science, analytics, mathematics, statistics, engineering, information management or a related discipline is required.

๐Ÿ“˜ A first-level university degree with qualifying experience may be accepted in lieu of the advanced degree.

๐Ÿ“ A first-level university degree and no experience will be accepted for candidates who have passed the YPP, NCRE or G to P examination.


Required Work Experience


๐Ÿ› ๏ธ A minimum of two years of work experience in data analytics, data science, business intelligence, statistical analysis, developing machine learning algorithms (AZURE ML, Python or similar) or related areas, or the successful completion of the Young Professionals Programme Examination (YPP), the United Nations National Competitive Recruitment Examination (NCRE) or the General Service to Professional Examination (G to P).


Desirable Experience


๐Ÿงญ Using data to support decision-making, strategic planning, performance monitoring, execution and reporting

๐Ÿ“‰ Self-service analytics, dashboard development and reporting applications (MS PowerBI, Qlik, Tableau or similar), including customized visualization and presentation products

๐Ÿ”— Acquiring, cleaning, transforming, validating and managing data from multiple sources, and implementing databases, data collection systems or data pipelines with SQL, Python, R or similar

๐Ÿ“Œ Tracking, monitoring and reporting on data initiatives, projects and performance indicators

๐Ÿ‘ฎ Developing and delivering technology analytics or data science training to law and regulatory enforcement officers, including officials from developing countries

๐Ÿ‡บ๐Ÿ‡ณ Experience with the United Nations system or a similar international organization


Language Requirements


English and French are the working languages of the UN Secretariat. For this job opening, English is required at UN Level II in reading, writing, listening and speaking, according to the UN Language Framework (details on the UN languages website, listed in the Links section below).


Assessment Method


๐Ÿ“ Evaluation of qualified candidates may include assessment exercises and a competency-based interview.


Funding, Duration and Mobility


๐Ÿ’ถ The position is funded from extra budgetary resources; filling it is subject to funding availability.

โณ The initial appointment is for one year, and extension depends on the availability of funds.

๐Ÿ”€ Staff are subject to the authority of the Secretary-General and are expected to move periodically to new functions in line with established rules.

๐Ÿก Vienna is classified in the H category (family duty station).


Diversity and Gender Balance


The United Nations recruits and employs staff regardless of gender identity, sexual orientation, race, religious, cultural and ethnic backgrounds or disabilities, and reasonable accommodation for applicants with disabilities may be provided on request. The UN Secretariat is committed to 50/50 gender balance and geographical diversity, and female candidates are strongly encouraged to apply.


United Nations Considerations


๐Ÿงญ Under article 101, paragraph 3, of the UN Charter, the paramount consideration is securing the highest standards of efficiency, competence and integrity, with due regard to recruiting on as wide a geographical basis as possible.

๐Ÿšซ Candidates who have committed violations of international human rights or humanitarian law, sexual exploitation, sexual abuse or sexual harassment, or crimes other than minor traffic offences may not be considered.

๐Ÿšญ The UN Secretariat is a non-smoking environment.

๐Ÿ”€ Professional staff up to D-2 level are normally required to move periodically between duty stations under ST/AI/2023/3 on Mobility; this applies to all position specific job openings.

๐Ÿ“‘ External candidates recruited under ST/AI/2025/3 for a fixed-term appointment are subject to an initial probationary period of one year.


How to Apply Through Inspira


๐Ÿ–ฅ๏ธ Follow all instructions in the online recruitment platform inspira, and refer to the Applicant Guide under "Manuals" in the "Help" tile of the inspira homepage.

๐Ÿงพ Provide complete and accurate information on your personal profile and qualifications; no changes can be made to applications once submitted.

๐Ÿ” Candidates under serious consideration will be subject to reference checks.

๐Ÿ•š Job openings on the Careers Portal are removed at 11:59 p.m. (New York time) on the deadline date.


Find more roles like this in the Jobs section on Youth Works Hub โ†’.


Frequently Asked Questions


Where is the UNODC Associate Data Scientist position based?

The post is in Vienna, Austria, in the Office of the Secretary of the INCB Secretariat, Division for Treaty Affairs, UNODC. Vienna is a family duty station (H category).


What does the Associate Data Scientist do?

The role identifies and prepares data sources, builds data science products using AI, machine learning, predictive analytics, text mining and NLP, and develops visualizations and reports for the Board and partners. It also includes client training on data science solutions.


What education is required?

A Master's degree or equivalent in data science, computer science, analytics, mathematics, statistics, engineering, information management or a related field is required. A bachelor's degree with qualifying experience may be accepted instead.


How much experience do I need?

At least two years in data analytics, data science, business intelligence, statistical analysis or machine learning development (AZURE ML, Python or similar). Passing the YPP, NCRE or G to P examination can replace this requirement.


Which tools are useful for this role?

Desirable tools include MS PowerBI, Qlik or Tableau for dashboards, and SQL, Python or R for data pipelines and databases. AZURE ML and Python are named for machine learning work.


What language is required?

English is required at UN Level II in reading, writing, listening and speaking. French is the other working language of the UN Secretariat.


How long is the appointment?

The initial appointment is for one year. Because the post is funded from extra budgetary resources, extension depends on the availability of funds.


What does the selection process include?

Evaluation may include assessment exercises and a competency-based interview. Candidates under serious consideration are subject to reference checks.


Deadline


โณ 19 November 2026


Links


๐Ÿ”— Job opening and application (UN Careers): https://careers.un.org/jobSearchDescription/285621?language=en

๐Ÿ›๏ธ UNODC website: https://www.unodc.org

๐Ÿ—ฃ๏ธ UN Language Framework: https://languages.un.org

Activity details

Location
๐Ÿ‡ฆ๐Ÿ‡น Austria
Deadline
19 Nov

Who can apply

  • โ€บEligible countries: Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burundi, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Comoros, Congo (Congo-Brazzaville), Costa Rica, Croatia, Cuba, Cyprus, Czechia, Democratic Republic of the Congo, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Holy See, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Ivory Coast, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Myanmar, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, North Korea, North Macedonia, Norway, Oman, Pakistan, Palau, Palestine, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, South Korea, South Sudan, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tonga, Trinidad and Tobago, Tunisia, Tรผrkiye, Turkmenistan, Tuvalu, Uganda, Ukraine, United Arab Emirates, United Kingdom, United States, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, Yemen, Zambia, Zimbabwe

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