Overview
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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 xphnsxz 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
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