Data Scientist - Banking

NORRIQ Financial Services; Brussel; Sur place; EUR 60 000 - 80 000; Plein temps

Avantages offerts par ce poste

Competitive compensation package including a company car

Access to extensive training programs

Dynamic and diverse working environment

Résumé du poste

A leading financial services company in Brussels is seeking a Data Scientist - Banking to enhance data analytics and machine learning initiatives. The ideal candidate has 2-6 years of experience in a related field and is skilled in Python, machine learning, and data analysis. The role offers a competitive compensation package, access to training programs, and the opportunity to work in a collaborative environment with a diverse team.

Qualifications

• 2-6 years of experience as a data scientist or ML engineer.
• Proven track record of implementing ML solutions in production.
• Strong knowledge in statistical analysis and machine learning.
• Fluency in English, preferably with knowledge of Dutch or French.

Responsabilités

• Design and implement machine learning solutions.
• Conduct exploratory data analysis and create visualizations.
• Develop and maintain data pipelines for model deployment.
• Collaborate with teams to integrate ML solutions.

Connaissances

Machine Learning

Data Analysis

Statistical Analysis

Python Programming

Collaboration

Formation

Master's degree in Computer Science or related field

Outils

scikit-learn

pandas

numpy

SQL

GitLab

DVC

Jupyter Lab

Description du poste

Overview

Join to apply for the Data Scientist - Banking role at NORRIQ Financial Services.

NORRIQ is an international organization headquartered in Denmark and Belgium, comprising over 350 consultants dedicated to driving business transformation through innovative technology. Our expanding Financial Services (FS) practice includes a team of 100+ specialists committed to helping banks and financial institutions adapt to evolving client demands, adopt cutting-edge technologies, and navigate complex regulatory environments. At NORRIQ, we believe our people are our greatest asset. We cultivate a culture of innovation, growth, and excellence, offering tailored training, opportunities for advancement, and a strong sense of community. Join us on this remarkable journey and become a valued member of the NORRIQ family—connected for life!

The Opportunity

NORRIQ FS is seeking a Senior/Medior Data Scientist to drive our data analytics and machine learning initiatives while delivering innovative solutions to our financial services clients.

Roles & Responsibilities

Client-Facing Responsibilities:

• Design and implement machine learning solutions for complex business problems
• Conduct exploratory data analysis and create insightful visualizations
• Develop and maintain data pipelines for model deployment
• Present findings and recommendations to stakeholders
• Collaborate with cross-functional teams to integrate ML solutions
• Provide technical guidance on data science best practices

Technical Responsibilities:

• Develop and maintain ML models using scikit-learn and other Python libraries
• Implement version control for both code and data using GitLab and DVC
• Create and maintain Jupyter notebooks for analysis and documentation
• Ensure reproducibility of data science workflows
• Optimize existing models and data pipelines for improved performance
• Follow ML ops best practices for model deployment and monitoring

Internal Contributions:

• Contribute to NORRIQ's data science expertise through knowledge sharing
• Participate in proposal writing and solution architecture
• Mentor junior team members and provide technical guidance
• Stay current with latest developments in data science and ML

Your Profile

Experience: 2-6 years in the following areas:

• Professional experience as a data scientist or ML engineer
• Proven track record of implementing ML solutions in production
• Experience with financial services industry preferred
• Strong background in statistical analysis and machine learning

Technical Skills

• Expert in Python programming and data science libraries
• Proficiency with scikit-learn, pandas, and numpy
• Experience with version control (GitLab) and DVC
• Strong knowledge of Jupyter Lab and notebook-based development
• Understanding of ML ops and deployment practices
• Experience with SQL and data manipulation
• Education: Master\'s degree in Computer Science, Data Science, Statistics, Mathematics, or related field
• Languages: Fluency in English, and Dutch or French, with at least passive knowledge of the other

What NORRIQ Offers You

• Be part of a fast-growing, international organization with a unique and people-centered culture
• Enjoy a highly competitive compensation package, including a company car, iPhone, and additional allowances
• Access extensive training programs in Belgium and Denmark, focusing on both technical expertise and soft skills
• Work with a dynamic and diverse team of experienced professionals and young talent in a collaborative environment within the financial services sector

Additional Information

Seniority level: Associate

Employment type: Full-time

Job function: Engineering and Information Technology