Who We AreNORRIQ 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 OpportunityNORRIQ 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 & ResponsibilitiesClient-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 practicesTechnical 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 monitoringInternal 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 MLYour 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 learningTechnical 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 otherWhat 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 sectorJoin NORRIQ to elevate your career, contribute to transformative projects, and make a lasting impact in the financial services industry!#J-18808-Ljbffr