Associate Evaluation Data Scientist

tendersglobal.net

Job Description

The successful candidate will report to the Head of Unit (Knowledge Management, Products & Methods) in the Evaluation Division of the Inspectorate General (IG/-/EV). Within the framework of specific evaluations, s/he may also work under the responsibility of a Senior Evaluator and an Evaluation Expert. In addition to regular interactions with colleagues across all Directorates within the EIB Group, s/he will collaborate closely with the IT department and fellow data scientists, as well as coordinate the support provided by external consultants.  IG/-/EV has constant interactions with stakeholders within and outside the EIB Group, including peer institutions, to ensure the usefulness and dissemination of its work.

Accountabilities:
The (Associate) Evaluation Data Scientist will carry out different tasks and responsibilities under the following main pillars. These include:

Data Governance and Harmonization:

  • Develop effective data management practices in evaluation. This includes creating easy-to-use templates for data processing and ensuring consistent data quality.
  • Create clear, repeatable workflows for data cleaning, analysis, and visualization, tailored to specific evaluation needs.
Data Knowledge Management:
  • Provide comprehensive guidance to the evaluation teams, enhancing their capabilities in understanding, accessing, cleaning, analysing, and visualizing data related to EIB Group activities.
  • Where required, work with consultants, ensuring effective collaboration and high-quality outputs in data analysis projects.
  • Develop up-to-date knowledge of potentially available sources of (internal and external) data relevant to the IG/-/EV’s work programme, and proactively advise evaluation teams on these data sources, potential Data Science methods and AI tools for individual evaluations.
  • Cooperate with a wide range of stakeholders within the EIB Group, including the evaluation teams, data owners across the EIB Group, and the Group’s IT services.
New Methods Design:
  • Drive innovation in qualitative data analysis within IG/-/EV by exploring and integrating a wide array of data science techniques and AI tools, including but not limited to Large Language Models (LLMs), text mining, qualitative data coding.
  • Actively contribute to shaping IG/-/EV’s long-term vision for quantitative data analysis, ensuring that evaluation methods remain cutting-edge and effective. This also includes participating in other relevant activities within IG/-/EV to continuously advance the division’s analytical capabilities.
Qualifications:
  • University degree (minimum an equivalent to a Bachelor) preferably in Data Science, Finance, Statistics, Economics, Econometrics, Mathematics or other closely relevant field.
  • Minimum 3 years of relevant professional experience, preferably in academia, consultancy, economic research, banking, or finance.
  • Prior proven experience in quantitative analysis, including the cleaning, tidying, visualization and statistical analysis of granular data (e.g., large-scale firm-level datasets, financial transaction records, or similar.) Hands-on experience with statistical methods for causal analysis would be considered a strong asset.
  • Proven experience with advanced text data analysis methods, such as text mining, sentiment analysis, key feature extraction, text frequency analysis, and qualitative data coding will be considered a significant asset. Knowledge of LLM will be considered an asset.
  • Ability to think conceptually, developing innovative and creative ways to support evaluations with quantitative data, using a multitude of analytical tools (e.g., statistical, and econometric methods, machine learning, geospatial analysis etc).
  • Solid work experience in using Microsoft Office tools, particularly Excel.
  • Proven familiarity with the data analysis and visualization tools in Python and GitHub. Experience with STATA, R and/or MATLAB is considered as an advantage.
  • Ability to design complex queries from data warehouses (e.g., SQL, Business Objects).
  • Strong communication and stakeholder management skills, adept at translating and presenting complex data and technical concepts to various audiences.
  • Excellent knowledge of English and/or French with a good command of the other. Knowledge of other EU languages would be an advantage.

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