Data Scientist

ARHS Group - part of Accenture - is looking for a Data Scientist for one of its clients at the EU Institutions in Brussels.

Role & Responsibilities

• Collect business requirement and develop advanced data mining solutions or identify, assess and deploy relevant existing data mining, machine learning and business intelligence solution
• Specification and design of presentation interfaces with optimal usability/user experience
• Identify, collect, convert and update different data types/sets in several locations (e.g. ETL)
• Produces data models according to specific problems statements.
• Scripting and programming.
• Contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc…)
• Write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies.

Your profile

• Bachelor’s degree with a focus on Data management or equivalent experience
• Ability to work in a team as well as autonomously
• Results-oriented mindset, focused on delivering
• Good communication skills in English, both orally and in written form

Technical skills

• Excellent knowledge of Data Science techniques especially in machine learning and NLP. Prior experience with Large Language Model is considered an asset
• Extensive experience in data analysis, with the ability to work with large datasets and extract meaningful insights
• Clean and transform raw data into a usable format for analysis. This includes designing and deploying Extraction Transformation and Load (ETL) processes
• Produces data models according to specific problems statements
• Knowledge and experience working in cloud environments
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation
• Ability to deliver presentation to both business and technical audiences
• Solution-oriented and accuracy to detail
• Ability to cope with fast changing technologies used in application developments

Specific Expertise:

• Experience with Statistics & Data Analytics
• Proficiency in R and Python
• Minimum 5 years of professional experience in Data Science and AI. Excellent command of Python and proficiency with relevant libraries, including but not limited to NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, HuggingFace;
• Minimum 5 years of professional experience in the following areas 1) Oracle RDMBS Database development, 2) Data Modelling and SQL; 3) ETL tools (e.g. BODI, BODS Apache Airflow, dbt);
• Minimum 2 year of professional experience with data visualisation and/or BI tools (e.g. Power BI);
• Track record of implemented solutions that solved business problems and produced tangible results
• Minimum 2 year with cloud services (AWS, Azure, Google Cloud). Experience with Knowledge Graphs and SPARQL is an asset.
• Minimum 2 years of experience with version control system (Git Hub)