Data Scientist

Arηs Group – part of Accenture - is a market leader in the management of complex IT projects and systems. Founded in Luxembourg in 2003, we have grown to encompass 12 entities worldwide, employing over 2,500 employees in Luxembourg, Belgium, Greece, Italy, Portugal and Bulgaria. With our focus on getting things done, we help our clients achieve their goals with best-of-breed solutions, superior execution and exceptional services. We offer bespoke software development, data science, infrastructure, digital trust and mobile development to government institutions at national and European level, telecom providers, and financial institutions, among others. Our bold company culture is built around working hard and playing hard, with a flat and agile structure that lends itself to efficiency and employee empowerment. We value our diverse workplace of close-knit teams and provide a place where everyone can be supported to learn and evolve.

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)