[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-web-crawling-global":3,"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Fweb-crawling":4,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Fweb-crawling":140,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Fweb-crawling":240},{},{"total":5,"jobs":6},5,[7,61,85,105,120],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":31,"processed_job_expertise_skills":42,"processed_job_expertise_skills_labels":43,"max_cpc":60,"actual_cpc":60},59967,"senior-data-scientist-phl006-refinitiv-asia-pte-ltd-philippine-branch","Senior Data Scientist",null,false,{"name":14,"slug":15,"logo_url":11},"Refinitiv Asia Pte. Ltd. Philippine Branch","refinitiv-asia-pte-ltd-philippine-branch",[17],"Taguig",[19],"PH","onsite",80000,120000,"PHP","estimated",[26],"FULL_TIME","permanent",{"aws":29,"git":29,"sql":29,"azure":29,"ci\u002Fcd":29,"mlops":29,"python":30,"pytorch":30,"tensorflow":30,"scikit-learn":30},3,4,[32,33,34,35,36,37,38,39,40,41],"Python","TensorFlow","PyTorch","Scikit-learn","Git","CI\u002FCD","SQL","AWS","Azure","MLOps",{"scraping":29,"web crawling":29,"deep learning":30,"data analytics":30,"data pipelines":29,"product vision":30,"data management":29,"coding standards":29,"entity extraction":29,"prompt engineering":30,"feature engineering":30,"predictive modelling":30,"statistical analysis":30,"large language models":30,"natural language processing":30,"retrieval-augmented generation":30},[44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59],"Data Analytics","Natural Language Processing","Large Language Models","Prompt Engineering","Retrieval-Augmented Generation","Deep Learning","Statistical Analysis","Feature Engineering","Predictive Modelling","Web Crawling","Scraping","Entity Extraction","Data Management","Data Pipelines","Product Vision","Coding Standards",1,{"id":62,"slug":63,"title":10,"raw_title":11,"is_featured":12,"company":64,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":67,"processed_country_iso_code_gmaps":69,"processed_home_office":20,"processed_salary_min":71,"processed_salary_max":72,"processed_salary_currency":73,"processed_salary_source":24,"processed_working_hours":74,"processed_employment_types":27,"processed_it_skills":75,"processed_it_skills_labels":76,"processed_job_expertise_skills":78,"processed_job_expertise_skills_labels":79,"max_cpc":60,"actual_cpc":60},59748,"senior-data-scientist-ind201-refinitiv-india-shared-services-private-limited",{"name":65,"slug":66,"logo_url":11},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[68],"Bengaluru",[70],"IN",90000,130000,"USD",[26],{"r":29,"aws":30,"git":29,"sql":29,"azure":29,"ci\u002Fcd":29,"mlops":29,"python":30,"pytorch":30,"tensorflow":30,"scikit-learn":30},[32,77,38,33,34,35,36,37,39,40,41],"R",{"web crawling":29,"deep learning":30,"data analytics":30,"financial data":29,"product vision":30,"cloud platforms":30,"data management":29,"coding standards":29,"machine learning":30,"entity extraction":29,"prompt engineering":30,"feature engineering":30,"predictive modeling":30,"statistical analysis":30,"evaluation frameworks":29,"large language models":30,"natural language processing":30,"retrieval-augmented generation":30},[44,51,80,50,45,46,47,48,49,81,53,55,56,82,58,59,83,84],"Predictive Modeling","Machine Learning","Financial Data","Evaluation Frameworks","Cloud Platforms",{"id":86,"slug":87,"title":10,"raw_title":11,"is_featured":12,"company":88,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":91,"processed_country_iso_code_gmaps":93,"processed_home_office":20,"processed_salary_min":95,"processed_salary_max":96,"processed_salary_currency":97,"processed_salary_source":24,"processed_working_hours":98,"processed_employment_types":27,"processed_it_skills":99,"processed_it_skills_labels":100,"processed_job_expertise_skills":101,"processed_job_expertise_skills_labels":102,"max_cpc":60,"actual_cpc":60},59442,"senior-data-scientist-chn020-refinitiv-information-services-china-co-ltd-shenzhen-branch",{"name":89,"slug":90,"logo_url":11},"Refinitiv Information Services (China) Co., Ltd. - Shenzhen Branch","refinitiv-information-services-china-co-ltd-shenzhen-branch",[92],"Shenzhen",[94],"CN",600000,900000,"CNY",[26],{"r":29,"aws":29,"git":29,"sql":29,"azure":29,"python":30,"pytorch":30,"tensorflow":30,"scikit-learn":30},[32,38,33,34,35,36,39,40,77],{"ci\u002Fcd":29,"mlops":29,"scraping":29,"probability":30,"web crawling":29,"deep learning":30,"data analytics":30,"financial data":29,"product vision":29,"data management":29,"coding standards":29,"entity extraction":29,"applied statistics":30,"prompt engineering":30,"feature engineering":30,"predictive modeling":30,"statistical analysis":30,"evaluation frameworks":29,"large language models":30,"natural language processing":30,"retrieval-augmented generation":30},[44,45,49,46,47,48,51,80,50,103,104,41,37,53,54,55,56,82,58,59,83],"Probability","Applied Statistics",{"id":106,"slug":107,"title":10,"raw_title":11,"is_featured":12,"company":108,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":109,"processed_country_iso_code_gmaps":110,"processed_home_office":20,"processed_salary_min":71,"processed_salary_max":72,"processed_salary_currency":73,"processed_salary_source":24,"processed_working_hours":111,"processed_employment_types":27,"processed_it_skills":112,"processed_it_skills_labels":113,"processed_job_expertise_skills":114,"processed_job_expertise_skills_labels":115,"max_cpc":60,"actual_cpc":60},59970,"senior-data-scientist-phl006-refinitiv-asia-pte-ltd-philippine-branch-2",{"name":14,"slug":15,"logo_url":11},[17],[19],[26],{"r":29,"aws":30,"git":29,"sql":29,"azure":29,"ci\u002Fcd":29,"python":30,"pytorch":30,"tensorflow":30,"scikit-learn":30},[32,77,38,33,34,35,36,37,39,40],{"nlp":30,"rag":30,"llms":30,"mlops":29,"scraping":29,"probability":30,"web crawling":29,"data analytics":30,"financial data":29,"product vision":29,"cloud platforms":30,"data management":29,"data processing":29,"coding standards":29,"entity extraction":29,"applied statistics":30,"feature engineering":30,"predictive modelling":30,"statistical analysis":30,"evaluation frameworks":29},[44,51,116,52,117,118,50,103,104,41,56,53,54,55,119,82,58,59,83,84],"NLP","LLMs","RAG","Data Processing",{"id":121,"slug":122,"title":10,"raw_title":11,"is_featured":12,"company":123,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":126,"processed_country_iso_code_gmaps":128,"processed_home_office":20,"processed_salary_min":71,"processed_salary_max":72,"processed_salary_currency":73,"processed_salary_source":24,"processed_working_hours":129,"processed_employment_types":27,"processed_it_skills":130,"processed_it_skills_labels":131,"processed_job_expertise_skills":132,"processed_job_expertise_skills_labels":133,"max_cpc":60,"actual_cpc":139},59451,"senior-data-scientist-chn010-refinitiv-technology-china-co-ltd",{"name":124,"slug":125,"logo_url":11},"Refinitiv Technology China Co., Ltd.","refinitiv-technology-china-co-ltd",[127],"Hai Dian Qu",[94],[26],{"r":29,"aws":30,"git":29,"sql":29,"azure":29,"ci\u002Fcd":29,"mlops":29,"python":30,"pytorch":30,"tensorflow":30,"scikit-learn":30},[32,38,77,33,34,35,36,39,40,37,41],{"data science":30,"web crawling":29,"data pipeline":29,"deep learning":30,"data analytics":30,"product vision":29,"cloud platforms":30,"data management":29,"coding standards":29,"machine learning":30,"entity extraction":29,"prompt engineering":30,"feature engineering":30,"financial analytics":29,"predictive modeling":30,"relational databases":29,"statistical analysis":30,"evaluation frameworks":29,"large language models":30,"large-scale data processing":29,"natural language processing":30,"retrieval-augmented generation":30},[134,81,49,45,46,47,48,50,51,80,44,53,55,56,135,58,59,83,84,136,137,138],"Data Science","Financial Analytics","Relational Databases","Large-scale Data Processing","Data Pipeline",0.5,{"industry":141,"employment_type":151,"expertise_skills":154,"it_skills":206,"salary_currency":234,"processed_working_hours":238},[142,145,148],{"key":143,"label":144,"count":5},"financial markets infrastructure","Financial Markets Infrastructure",{"key":146,"label":147,"count":30},"data provider","Data Provider",{"key":149,"label":150,"count":60},"data","Data",[152],{"key":27,"label":153,"count":5},"PERMANENT",[155,157,159,161,163,165,167,169,171,173,175,177,179,181,183,185,187,189,191,194,196,199,201,203],{"key":156,"label":53,"slug":156,"count":5},"web-crawling",{"key":158,"label":58,"slug":158,"count":5},"product-vision",{"key":160,"label":59,"slug":160,"count":5},"coding-standards",{"key":162,"label":55,"slug":162,"count":5},"entity-extraction",{"key":164,"label":44,"slug":164,"count":5},"data-analytics",{"key":166,"label":56,"slug":166,"count":5},"data-management",{"key":168,"label":50,"slug":168,"count":5},"statistical-analysis",{"key":170,"label":51,"slug":170,"count":5},"feature-engineering",{"key":172,"label":45,"slug":172,"count":30},"natural-language-processing",{"key":174,"label":48,"slug":174,"count":30},"retrieval-augmented-generation",{"key":176,"label":47,"slug":176,"count":30},"prompt-engineering",{"key":178,"label":49,"slug":178,"count":30},"deep-learning",{"key":180,"label":83,"slug":180,"count":30},"evaluation-frameworks",{"key":182,"label":46,"slug":182,"count":30},"large-language-models",{"key":184,"label":84,"slug":184,"count":29},"cloud-platforms",{"key":186,"label":82,"slug":186,"count":29},"financial-data",{"key":188,"label":80,"slug":188,"count":29},"predictive-modeling",{"key":190,"label":54,"slug":190,"count":29},"scraping",{"key":192,"label":104,"slug":192,"count":193},"applied-statistics",2,{"key":195,"label":81,"slug":195,"count":193},"machine-learning",{"key":197,"label":198,"slug":197,"count":193},"mlops","Mlops",{"key":200,"label":52,"slug":200,"count":193},"predictive-modelling",{"key":202,"label":103,"slug":202,"count":193},"probability",{"key":204,"label":205,"slug":204,"count":60},"large-scale-data-processing","Large-Scale Data Processing",[207,210,213,216,218,221,223,225,228,231,233],{"key":208,"label":209,"slug":208,"count":5},"tensorflow","Tensorflow",{"key":211,"label":212,"slug":211,"count":5},"ms-azure","MS Azure",{"key":214,"label":215,"slug":214,"count":5},"scikit-learn","Scikit-Learn",{"key":217,"label":38,"slug":217,"count":5},"sql",{"key":219,"label":220,"slug":219,"count":5},"aws","Aws",{"key":222,"label":36,"slug":222,"count":5},"git",{"key":224,"label":32,"slug":224,"count":5},"python",{"key":226,"label":227,"slug":226,"count":5},"pytorch","Pytorch",{"key":229,"label":230,"slug":229,"count":30},"cicd","Ci\u002FCd",{"key":232,"label":77,"slug":232,"count":30},"r",{"key":197,"label":198,"slug":197,"count":29},[235,236,237],{"key":73,"label":73,"count":29},{"key":97,"label":97,"count":60},{"key":23,"label":23,"count":60},[239],{"key":26,"label":26,"count":5},{"total":60,"jobs":241},[242],{"id":243,"slug":244,"title":245,"raw_title":11,"is_featured":246,"company":247,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":251,"processed_country_iso_code_gmaps":253,"processed_home_office":255,"processed_salary_min":256,"processed_salary_max":257,"processed_salary_currency":258,"processed_salary_source":11,"processed_working_hours":259,"processed_employment_types":153,"processed_it_skills":261,"processed_it_skills_labels":11,"processed_job_expertise_skills":262,"processed_job_expertise_skills_labels":263,"max_cpc":270,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":248,"slug":249,"logo_url":250},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[252],"Frankfurt am Main",[254],"DE","HYBRID",45000,65000,"EUR",[260],"full_time",{},{"Financial Analysis":29,"Regulatory Compliance":29,"New Customer Acquisition":29,"Private Banking Advisory":29,"Banking Products Knowledge":29,"Customer Relationship Management":29},[264,265,266,267,268,269],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]