Data Scientist

V-IT
Antwerp, Belgium
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Antwerp, Belgium

Tech stack

Java
Artificial Intelligence
Data analysis
Big Data
Google BigQuery
Databases
Data Cleansing
ETL
Data Visualization
Data Warehousing
Fraud Prevention and Detection
R
Hadoop
Statistical Hypothesis Testing
Python
PostgreSQL
Machine Learning
MySQL
Regression Analysis
Routing
Power BI
SAP FI/CO
SQL Databases
Data Processing
Snowflake
Spark
GIT
Software Version Control
Programming Languages

Job description

  • Design and train machine learning models to transform data into smarter decisions and AI solutions.
  • Uncover valuable insights and drive innovation by exploring new technologies, data sources, and methodologies.
  • Collaborate with product teams and stakeholders such as marketing and operations to shape data-driven products from concept to execution.
  • Elevate analytical capabilities within the organization.

Requirements

  • Proficiency in programming languages such as Python, R, SQL, and Java.
  • Familiarity with database management systems like MySQL and PostgreSQL.
  • Experience with big data technologies, including platforms like Hadoop and Spark.
  • Strong skills in statistical analysis, including hypothesis testing, regression analysis, and time series forecasting.
  • Expertise in data wrangling, including data cleaning, transformation, and ETL processes.
  • Ability to develop predictive models for various banking-specific use cases such as credit scoring, email routing, fraud detection, and customer segmentation.
  • Proficiency in quantitative analysis and data visualization tools like Power BI.
  • Understanding of banking operations, products, services, and regulations.
  • Knowledge of risk management and the ability to integrate it into data analyses.
  • Ability to transform data insights into actionable business strategies.
  • Strong communication skills to present findings to non-technical stakeholders.
  • Effective collaboration with departments such as IT, marketing, and finance.
  • Innovative problem-solving skills for complex data challenges.
  • Commitment to continuous learning in the rapidly evolving field of data science.
  • Ethical judgment regarding data privacy, fairness, and biases in modeling.
  • Understanding of regulatory compliance, including financial regulations like Basel III, GDPR, and CCPA.
  • Insights into customer analytics, including behavior, segmentation, lifetime value, and churn prediction.
  • Familiarity with version control tools like Git.
  • Knowledge of data warehousing solutions such as Wherescape, Snowflake, Redshift, or BigQuery., Solution designer/Project LeadAntwerpen, Antwerpen Enterprise ArchitectBrussel, Brussel Full-stack developerBrussel, Brussel Business/Functioneel AnalsytOost-Vlaanderen, Oost-Vlaanderen SAP FICO Functional AnalystOost-Vlaanderen, Oost-Vlaanderen

Apply for this position