(Associate) Evaluation Data Scientist

il y a 2 semaines

Luxembourg European Investment Bank Temps plein

The **EIB**, the European Union's bank, is seeking to recruit for its Inspectorate General Directorate (IG), Operations Evaluation Division (EV), Knowledge Management, Products & Methods Unit (KPM) at its headquarters in Luxembourg, a **(Associate) Evaluation Data Scientist*.**
- internal benchmark: Analyst / Officer Lending Evaluation

**This is a full-time position at grade 4/5 for which the EIB offers a permanent contract.**
- Panel interviews are anticipated _for mid to late March 2023_**_._**

**Purpose**:
**Operating Network**:
The (Associate) Evaluation Data Scientist reports 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, the (Associate) Evaluation Data Scientist may also work under the responsibility of a Senior Evaluator and an Evaluation Expert. S/he will have regular contact with colleagues across all Directorates within the EIB Group. IG/EV has constant interactions with stakeholders within and outside the EIB Group, to ensure the usefulness and dissemination of its work.

**Accountabilities**:
The (Associate) Evaluation Data Scientist will carry out different tasks and responsibilities. These include:

- Develop robust, reproductible and recyclable data workflows to support the data and analytical needs of ongoing evaluations.
- Provide support to the evaluation teams in understanding, accessing, cleaning, tidying, analysing and visualising data on EIB Group activities.
- Develop up-to-date knowledge of potentially available sources of (internal and external) data relevant to the IG/EV’s work programme.
- 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;
- Develop the capability to proactively advise evaluation teams on available data sources and potential analytical methods relevant to individual evaluations.
- Broaden the range of available data science techniques for evaluations, e.g. the use of geospatial data, interactive data visualisations, machine learning etc;
- Participate in the development of IG/EV’s long-term vision on quantitative data analysis.
- Contribute to other IG/EV activities, as relevant.

**Qualifications**:

- Master’s degree in Data Science, Finance, Statistics, Economics, Econometrics, Mathematics or other closely relevant field.
- At least 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.
- 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, etc).
- Solid work experience in using Microsoft Office tools, particularly Excel.
- Proven familiarity with the data analysis and visualization tools in Python. Experience with STATA, R and/or Matlab are considered an advantage.
- Ability to design complex queries from data warehouses (SQL, Business Objects);
- Excellent knowledge of English and/or French (*) with a good command of the other.

**Competencies**:

- Find out more about EIB core competencies _here
- (*) Unless stated explicitly as a required qualification, a good command of French is not a pre-requisite for hire. As both English and French are however official working languages of the EIB, proficiency in both languages is a pre-requisite for your future career development. Any language clause in your contract must be fulfilled in order for you to be eligible for a promotion (either via the annual appraisal cycle or via an internal selection process). Proficiency is understood to mean the attainment of _level 5 of the Inter Institutional language courses, corresponding to B1.2 of the Common European Framework of Reference for Languages (CEFRL). The Bank offers appropriate training support._ _

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