[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-classification-global":3,"job-search-\u002Fde\u002Fjobs-by-expertise\u002Fclassification":4,"expertise-filters-\u002Fde\u002Fjobs-by-expertise\u002Fclassification":260,"featured-jobs-\u002Fde\u002Fjobs-by-expertise\u002Fclassification":397},{},{"total":5,"jobs":6},8,[7,68,106,134,164,182,209,222],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":16,"processed_city_gmaps":17,"processed_country_iso_code_gmaps":19,"processed_home_office":21,"processed_salary_min":22,"processed_salary_max":23,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":26,"processed_employment_types":28,"processed_it_skills":29,"processed_it_skills_labels":32,"processed_job_expertise_skills":47,"processed_job_expertise_skills_labels":48,"max_cpc":67,"actual_cpc":67},89109,"werkstudent-data-science-mit-python-databricks-mwd-arag-se","Werkstudent Data Science mit Python & Databricks (m\u002Fw\u002Fd)",null,false,{"name":14,"slug":15,"logo_url":16},"ARAG SE","arag-se","https:\u002F\u002Fwww.karriere-bei-arag.de\u002Fuploads\u002F726\u002Fsettings\u002Fcreators\u002Farag-zentrale-306-606c6ea26a090.png",[18],"Düsseldorf",[20],"DE","hybrid",18000,24000,"EUR","estimated",[27],"PART_TIME","student",{"git":30,"sql":31,"azure":31,"ci\u002Fcd":30,"nosql":30,"numpy":31,"pandas":31,"python":31,"pyspark":31,"azure ml":30,"databricks":31,"scikit-learn":31,"azure data factory":30,"azure sql data warehouse":30},3,4,[33,34,35,36,37,38,39,40,41,42,43,44,45,46],"Python","Databricks","Azure","SQL","NoSQL","Git","CI\u002FCD","Pandas","NumPy","PySpark","scikit-learn","Azure Data Factory","Azure SQL Data Warehouse","Azure ML",{"dataops":31,"finance":30,"security":30,"clustering":30,"controlling":30,"data quality":31,"data analysis":31,"classification":30,"data engineering":31,"data integration":31,"machine learning":31,"model deployment":30,"etl\u002Felt pipelines":31,"data visualization":30,"predictive analytics":31,"time series analysis":30,"performance optimization":30,"scalable data architectures":30},[49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66],"ETL\u002FELT Pipelines","Data Integration","Data Quality","Data Analysis","Data Visualization","Machine Learning","Predictive Analytics","Time Series Analysis","Classification","Clustering","Model Deployment","Data Engineering","DataOps","Scalable Data Architectures","Performance Optimization","Security","Finance","Controlling",1,{"id":69,"slug":70,"title":71,"raw_title":11,"is_featured":12,"company":72,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":75,"processed_country_iso_code_gmaps":77,"processed_home_office":21,"processed_salary_min":79,"processed_salary_max":80,"processed_salary_currency":81,"processed_salary_source":25,"processed_working_hours":82,"processed_employment_types":84,"processed_it_skills":85,"processed_it_skills_labels":86,"processed_job_expertise_skills":93,"processed_job_expertise_skills_labels":94,"max_cpc":67,"actual_cpc":67},88463,"senior-data-scientist-customer-experience-genai-travelers-indemnity-co","Senior Data Scientist - Customer Experience GenAI",{"name":73,"slug":74,"logo_url":11},"Travelers Indemnity Co","travelers-indemnity-co",[76],"Hartford",[78],"US",146400,241600,"USD",[83],"FULL_TIME","permanent",{"r":30,"sql":30,"python":31,"deep learning":30,"generative ai":31,"computer vision":30,"machine learning":31,"data visualization":30,"statistical software":31,"natural language processing":30},[33,87,36,88,54,89,90,91,92,53],"R","Generative AI","Deep Learning","Natural Language Processing","Computer Vision","Statistical Software",{"regression":31,"fine-tuning":30,"data analysis":31,"deep learning":30,"generative ai":31,"rag pipelines":31,"classification":31,"machine vision":30,"value creation":30,"prompt engineering":31,"predictive modeling":31,"statistical modeling":31,"business intelligence":30,"business model concepts":30,"hallucination mitigation":30,"natural language processing":30},[88,95,57,96,90,89,97,98,99,52,100,101,102,103,104,105],"Regression","Machine Vision","Statistical Modeling","Predictive Modeling","Business Intelligence","Prompt Engineering","RAG Pipelines","Fine-tuning","Hallucination Mitigation","Value Creation","Business Model Concepts",{"id":107,"slug":108,"title":109,"raw_title":11,"is_featured":12,"company":110,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":114,"processed_country_iso_code_gmaps":116,"processed_home_office":21,"processed_salary_min":118,"processed_salary_max":119,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":120,"processed_employment_types":84,"processed_it_skills":121,"processed_it_skills_labels":122,"processed_job_expertise_skills":126,"processed_job_expertise_skills_labels":127,"max_cpc":67,"actual_cpc":67},71069,"medior-data-scientist-machine-learning-engineer-allianz-insurance","Medior Data Scientist \u002F Machine Learning Engineer",{"name":111,"slug":112,"logo_url":113},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[115],"Rotterdam",[117],"NL",62400,80000,[83,27],{"mlflow":30,"pandas":30,"python":31,"azureml":30,"databricks":30,"scikit-learn":30},[33,123,43,34,124,125],"pandas","AzureML","MLflow",{"mlops":30,"regression":31,"classification":31,"machine learning":31,"model deployment":30,"model monitoring":30,"anomaly detection":30,"survival modelling":30,"time series analysis":30,"hyperparameter tuning":30,"large language models":30},[54,57,95,128,129,56,130,131,132,59,133],"Anomaly Detection","Survival Modelling","Large Language Models","Hyperparameter Tuning","MLOps","Model Monitoring",{"id":135,"slug":136,"title":137,"raw_title":11,"is_featured":12,"company":138,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":141,"processed_country_iso_code_gmaps":143,"processed_home_office":21,"processed_salary_min":144,"processed_salary_max":145,"processed_salary_currency":81,"processed_salary_source":25,"processed_working_hours":146,"processed_employment_types":84,"processed_it_skills":147,"processed_it_skills_labels":148,"processed_job_expertise_skills":152,"processed_job_expertise_skills_labels":153,"max_cpc":67,"actual_cpc":67},68771,"data-scientist-auto-owners-insurance-company","Data Scientist",{"name":139,"slug":140,"logo_url":11},"Auto-Owners Insurance Company","auto-owners-insurance-company",[142],"Lansing",[78],90000,130000,[83],{"r":30,"sql":30,"keras":30,"python":30,"tensorflow":30,"scikit-learn":30},[36,87,33,149,150,151],"TensorFlow","Scikit-learn","Keras",{"clustering":31,"regression":31,"data analysis":31,"deep learning":31,"classification":31,"decision trees":31,"machine learning":31,"model monitoring":30,"gradient boosting":31,"data visualization":30,"feature engineering":31,"model documentation":30,"statistical modeling":31},[154,155,156,157,158,159,57,95,58,160,161,162,163],"Statistical modeling","Machine learning","Data analysis","Model documentation","Model monitoring","Feature engineering","Decision trees","Gradient boosting","Deep learning","Data visualization",{"id":165,"slug":166,"title":167,"raw_title":11,"is_featured":12,"company":168,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":169,"processed_country_iso_code_gmaps":170,"processed_home_office":21,"processed_salary_min":119,"processed_salary_max":171,"processed_salary_currency":81,"processed_salary_source":25,"processed_working_hours":172,"processed_employment_types":84,"processed_it_skills":173,"processed_it_skills_labels":174,"processed_job_expertise_skills":175,"processed_job_expertise_skills_labels":176,"max_cpc":67,"actual_cpc":67},68797,"predictive-modeler-auto-owners-insurance-company","Predictive Modeler",{"name":139,"slug":140,"logo_url":11},[],[],120000,[83],{"r":30,"sql":30,"python":30},[33,87,36],{"clustering":31,"regression":31,"data science":31,"classification":31,"ad-hoc analysis":30,"large data sets":31,"machine learning":31,"model monitoring":30,"data visualization":30,"model documentation":30,"statistical modeling":31,"regulatory compliance":30},[97,54,177,58,95,57,178,179,53,180,133,181],"Data Science","Large Data Sets","Ad-hoc Analysis","Model Documentation","Regulatory Compliance",{"id":183,"slug":184,"title":185,"raw_title":11,"is_featured":12,"company":186,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":189,"processed_country_iso_code_gmaps":191,"processed_home_office":193,"processed_salary_min":194,"processed_salary_max":195,"processed_salary_currency":196,"processed_salary_source":25,"processed_working_hours":197,"processed_employment_types":84,"processed_it_skills":198,"processed_it_skills_labels":199,"processed_job_expertise_skills":202,"processed_job_expertise_skills_labels":203,"max_cpc":67,"actual_cpc":67},66826,"senior-applied-machine-learning-scientist-predictive-aib3617-the-toronto-dominion-bank-canada","Senior Applied Machine Learning Scientist, Predictive AI(B3617)",{"name":187,"slug":188,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[190],"Toronto",[192],"CA","onsite",156500,190000,"CAD",[83],{"sql":30,"python":30,"data systems":31,"ai frameworks":31,"machine learning":31},[54,200,201,33,36],"AI Frameworks","Data Systems",{"governance":30,"regression":31,"predictive ai":31,"classification":31,"risk management":30,"anomaly detection":31,"model development":31,"business analytics":31},[95,57,128,204,205,206,207,208],"Predictive AI","Model Development","Business Analytics","Risk Management","Governance",{"id":210,"slug":211,"title":212,"raw_title":11,"is_featured":12,"company":213,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":214,"processed_country_iso_code_gmaps":215,"processed_home_office":193,"processed_salary_min":216,"processed_salary_max":216,"processed_salary_currency":81,"processed_salary_source":25,"processed_working_hours":217,"processed_employment_types":28,"processed_it_skills":218,"processed_it_skills_labels":219,"processed_job_expertise_skills":220,"processed_job_expertise_skills_labels":221,"max_cpc":67,"actual_cpc":67},52640,"predictive-modeler-intern-summer-2027-auto-owners-insurance-company","Predictive Modeler Intern - Summer 2027",{"name":139,"slug":140,"logo_url":11},[142],[78],0,[83],{"r":30,"sql":30,"python":30},[36,33,87],{"clustering":30,"data analysis":30,"classification":30,"predictive modeling":30,"statistical modeling":30},[97,98,52,58,57],{"id":223,"slug":224,"title":225,"raw_title":11,"is_featured":12,"company":226,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":229,"processed_country_iso_code_gmaps":231,"processed_home_office":21,"processed_salary_min":233,"processed_salary_max":234,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":235,"processed_employment_types":84,"processed_it_skills":236,"processed_it_skills_labels":237,"processed_job_expertise_skills":245,"processed_job_expertise_skills_labels":246,"max_cpc":67,"actual_cpc":259},76634,"senior-deep-learning-engineer-specialist-prometeia-spa","Senior Deep Learning Engineer -Specialist-",{"name":227,"slug":228,"logo_url":11},"Prometeia SpA","prometeia-spa",[230],"Bologna",[232],"IT",50000,70000,[83],{"c++":31,"git":30,"opencv":31,"python":31,"pytorch":31,"gcp vertex ai":30,"amazon sagemaker":30,"pytorch-lightning":31,"azure machine learning":30},[33,238,239,240,241,38,242,243,244],"C++","OpenCV","PyTorch","PyTorch-Lightning","Azure Machine Learning","GCP Vertex AI","Amazon SageMaker",{"clustering":31,"deep learning":31,"generative ai":31,"classification":31,"model training":31,"computer vision":31,"depth estimation":31,"machine learning":31,"model evaluation":31,"object detection":31,"anomaly detection":31,"image segmentation":31,"research publication":30,"scene reconstruction":31,"time series analysis":31,"ml dataset management":31,"self-supervised learning":30,"semi-supervised learning":30,"weak-supervised learning":30,"synthetic data generation":31},[89,91,247,248,249,250,88,56,251,128,57,58,54,252,253,254,255,256,257,258],"Object Detection","Image Segmentation","Depth Estimation","Scene Reconstruction","Synthetic Data Generation","ML Dataset Management","Model Training","Model Evaluation","Semi-supervised Learning","Self-supervised Learning","Weak-supervised Learning","Research Publication",0.5,{"industry":261,"employment_type":278,"expertise_skills":284,"it_skills":337,"salary_currency":389,"processed_working_hours":393},[262,266,269,272,275],{"key":263,"label":264,"count":265},"insurance","Insurance",6,{"key":267,"label":268,"count":67},"banking","Banking",{"key":270,"label":271,"count":67},"financial services","Financial Services",{"key":273,"label":274,"count":67},"management","Management",{"key":276,"label":277,"count":67},"technology services for financial institutions","Technology Services For Financial Institutions",[279,281],{"key":84,"label":280,"count":265},"PERMANENT",{"key":28,"label":282,"count":283},"STUDENT",2,[285,287,290,292,294,296,298,300,302,304,306,308,310,312,314,317,319,322,324,327,329,331,333,335],{"key":286,"label":57,"slug":286,"count":5},"classification",{"key":288,"label":54,"slug":288,"count":289},"machine-learning",5,{"key":291,"label":95,"slug":291,"count":289},"regression",{"key":293,"label":58,"slug":293,"count":289},"clustering",{"key":295,"label":97,"slug":295,"count":31},"statistical-modeling",{"key":297,"label":52,"slug":297,"count":31},"data-analysis",{"key":299,"label":53,"slug":299,"count":30},"data-visualization",{"key":301,"label":133,"slug":301,"count":30},"model-monitoring",{"key":303,"label":128,"slug":303,"count":30},"anomaly-detection",{"key":305,"label":89,"slug":305,"count":30},"deep-learning",{"key":307,"label":56,"slug":307,"count":30},"time-series-analysis",{"key":309,"label":98,"slug":309,"count":283},"predictive-modeling",{"key":311,"label":180,"slug":311,"count":283},"model-documentation",{"key":313,"label":59,"slug":313,"count":283},"model-deployment",{"key":315,"label":316,"slug":315,"count":283},"generative-ai","Generative Ai",{"key":318,"label":65,"slug":318,"count":67},"finance",{"key":320,"label":321,"slug":320,"count":67},"fine-tuning","Fine-Tuning",{"key":323,"label":208,"slug":323,"count":67},"governance",{"key":325,"label":326,"slug":325,"count":67},"gradient-boosting","Gradient Boosting",{"key":328,"label":103,"slug":328,"count":67},"hallucination-mitigation",{"key":330,"label":131,"slug":330,"count":67},"hyperparameter-tuning",{"key":332,"label":248,"slug":332,"count":67},"image-segmentation",{"key":334,"label":178,"slug":334,"count":67},"large-data-sets",{"key":336,"label":130,"slug":336,"count":67},"large-language-models",[338,340,342,344,346,348,350,351,352,354,357,359,361,362,363,366,367,369,372,374,377,380,383,386],{"key":339,"label":33,"slug":339,"count":5},"python",{"key":341,"label":36,"slug":341,"count":265},"sql",{"key":343,"label":87,"slug":343,"count":31},"r",{"key":43,"label":345,"slug":43,"count":30},"Scikit-Learn",{"key":347,"label":34,"slug":347,"count":283},"databricks",{"key":349,"label":38,"slug":349,"count":283},"git",{"key":123,"label":40,"slug":123,"count":283},{"key":288,"label":54,"slug":288,"count":283},{"key":353,"label":238,"slug":353,"count":67},"c",{"key":355,"label":356,"slug":355,"count":67},"cicd","Ci\u002FCd",{"key":358,"label":91,"slug":358,"count":67},"computer-vision",{"key":360,"label":201,"slug":360,"count":67},"data-systems",{"key":299,"label":53,"slug":299,"count":67},{"key":305,"label":89,"slug":305,"count":67},{"key":364,"label":365,"slug":364,"count":67},"gcp-vertex-ai","Gcp Vertex Ai",{"key":315,"label":316,"slug":315,"count":67},{"key":368,"label":151,"slug":368,"count":67},"keras",{"key":370,"label":371,"slug":370,"count":67},"mlflow","Mlflow",{"key":373,"label":90,"slug":373,"count":67},"natural-language-processing",{"key":375,"label":376,"slug":375,"count":67},"nosql","Nosql",{"key":378,"label":379,"slug":378,"count":67},"numpy","Numpy",{"key":381,"label":382,"slug":381,"count":67},"opencv","Opencv",{"key":384,"label":385,"slug":384,"count":67},"pyspark","Pyspark",{"key":387,"label":388,"slug":387,"count":67},"pytorch","Pytorch",[390,391,392],{"key":81,"label":81,"count":31},{"key":24,"label":24,"count":30},{"key":196,"label":196,"count":67},[394,396],{"key":83,"label":83,"count":395},7,{"key":27,"label":27,"count":283},{"total":67,"jobs":398},[399],{"id":400,"slug":401,"title":402,"raw_title":11,"is_featured":403,"company":404,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":408,"processed_country_iso_code_gmaps":410,"processed_home_office":411,"processed_salary_min":412,"processed_salary_max":413,"processed_salary_currency":24,"processed_salary_source":11,"processed_working_hours":414,"processed_employment_types":280,"processed_it_skills":416,"processed_it_skills_labels":11,"processed_job_expertise_skills":417,"processed_job_expertise_skills_labels":418,"max_cpc":424,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":405,"slug":406,"logo_url":407},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[409],"Frankfurt am Main",[20],"HYBRID",45000,65000,[415],"full_time",{},{"Financial Analysis":30,"Regulatory Compliance":30,"New Customer Acquisition":30,"Private Banking Advisory":30,"Banking Products Knowledge":30,"Customer Relationship Management":30},[419,420,421,181,422,423],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Customer Relationship Management","New Customer Acquisition",0.8]