OverviewJoin 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 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 problemsConduct exploratory data analysis and create insightful visualizationsDevelop and maintain data pipelines for model deploymentPresent findings and recommendations to stakeholdersCollaborate with cross-functional teams to integrate ML solutionsProvide technical guidance on data science best practicesTechnical Responsibilities:Develop and maintain ML models using scikit-learn and other Python librariesImplement version control for both code and data using GitLab and DVCCreate and maintain Jupyter notebooks for analysis and documentationEnsure reproducibility of data science workflowsOptimize existing models and data pipelines for improved performanceFollow ML ops best practices for model deployment and monitoringInternal Contributions:Contribute to NORRIQ's data science expertise through knowledge sharingParticipate in proposal writing and solution architectureMentor junior team members and provide technical guidanceStay current with latest developments in data science and MLYour ProfileExperience: 2-6 years in the following areas:Professional experience as a data scientist or ML engineerProven track record of implementing ML solutions in productionExperience with financial services industry preferredStrong background in statistical analysis and machine learningTechnical SkillsExpert in Python programming and data science librariesProficiency with scikit-learn, pandas, and numpyExperience with version control (GitLab) and DVCStrong knowledge of Jupyter Lab and notebook-based developmentUnderstanding of ML ops and deployment practicesExperience with SQL and data manipulationEducation: Master\'s degree in Computer Science, Data Science, Statistics, Mathematics, or related fieldLanguages: Fluency in English, and Dutch or French, with at least passive knowledge of the otherWhat NORRIQ Offers YouBe part of a fast-growing, international organization with a unique and people-centered cultureEnjoy a highly competitive compensation package, including a company car, iPhone, and additional allowancesAccess extensive training programs in Belgium and Denmark, focusing on both technical expertise and soft skillsWork with a dynamic and diverse team of experienced professionals and young talent in a collaborative environment within the financial services sectorAdditional InformationSeniority level: AssociateEmployment type: Full-timeJob function: Engineering and Information Technology
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