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Data scientist - banking

Bruxelles
NORRIQ Financial Services
Data Scientist
Publiée le 21 avril
Description de l'offre

Ph3Overview /h3pJoin to apply for the bData Scientist - Banking /b role at bNORRIQ Financial Services /b. /ppNORRIQ 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! /ppbThe Opportunity /b /ppNORRIQ 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. /ph3Roles Responsibilities /h3pbClient-Facing Responsibilities: /b /pulliDesign and implement machine learning solutions for complex business problems /liliConduct exploratory data analysis and create insightful visualizations /liliDevelop and maintain data pipelines for model deployment /liliPresent findings and recommendations to stakeholders /liliCollaborate with cross-functional teams to integrate ML solutions /liliProvide technical guidance on data science best practices /li /ulpbTechnical Responsibilities: /b /pulliDevelop and maintain ML models using scikit-learn and other Python libraries /liliImplement version control for both code and data using GitLab and DVC /liliCreate and maintain Jupyter notebooks for analysis and documentation /liliEnsure reproducibility of data science workflows /liliOptimize existing models and data pipelines for improved performance /liliFollow ML ops best practices for model deployment and monitoring /li /ulpbInternal Contributions: /b /pulliContribute to NORRIQ's data science expertise through knowledge sharing /liliParticipate in proposal writing and solution architecture /liliMentor junior team members and provide technical guidance /liliStay current with latest developments in data science and ML /li /ulh3Your Profile /h3pbExperience /b: 2-6 years in the following areas: /pulliProfessional experience as a data scientist or ML engineer /liliProven track record of implementing ML solutions in production /liliExperience with financial services industry preferred /liliStrong background in statistical analysis and machine learning /li /ulpbTechnical Skills /b /pulliExpert in Python programming and data science libraries /liliProficiency with scikit-learn, pandas, and numpy /liliExperience with version control (GitLab) and DVC /liliStrong knowledge of Jupyter Lab and notebook-based development /liliUnderstanding of ML ops and deployment practices /liliExperience with SQL and data manipulation /liliEducation: Master\'s degree in Computer Science, Data Science, Statistics, Mathematics, or related field /liliLanguages: Fluency in English, and Dutch or French, with at least passive knowledge of the other /li /ulh3What NORRIQ Offers You /h3ulliBe part of a fast-growing, international organization with a unique and people-centered culture /liliEnjoy a highly competitive compensation package, including a company car, iPhone, and additional allowances /liliAccess extensive training programs in Belgium and Denmark, focusing on both technical expertise and soft skills /liliWork with a dynamic and diverse team of experienced professionals and young talent in a collaborative environment within the financial services sector /li /ulh3Additional Information /h3pSeniority level: Associate /ppEmployment type: Full-time /ppJob function: Engineering and Information Technology /p /p #J-18808-Ljbffr

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