Data Scientist
Data Scientist
Posted on :
05-04-2025
Employer Active
1 Vacancy
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Job Description
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 crossproject interdependencies.
Qualifications :
Your profile
- Bachelors degree with a focus on Data management or equivalent experience
- Ability to work in a team as well as autonomously
- Resultsoriented 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
- Solutionoriented 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 Scikitlearn 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)
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
Key Skills
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