[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-data-science-global":3,"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Fdata-science?page=5":4,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Fdata-science?page=5":607,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Fdata-science?page=5":825},{},{"total":5,"jobs":6},114,[7,61,87,119,159,204,226,252,295,327,352,390,407,433,455,479,512,531,560,581],{"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":43,"processed_job_expertise_skills_labels":44,"max_cpc":60,"actual_cpc":60},79285,"vice-president-data-scientist-group-retail-united-overseas-bank-ltd","Vice President, Data Scientist, Group Retail",null,false,{"name":14,"slug":15,"logo_url":11},"United Overseas Bank Ltd","united-overseas-bank-ltd",[17],"Singapore",[19],"SG","onsite",120000,180000,"SGD","estimated",[26],"FULL_TIME","permanent",{"r":29,"sas":29,"sql":29,"qlik":30,"keras":29,"pandas":29,"python":29,"tableau":30,"power bi":30,"tensorflow":29,"scikit-learn":29},4,3,[32,33,34,35,36,37,38,39,40,41,42],"SQL","Python","R","SAS","Pandas","Keras","TensorFlow","Scikit-learn","Qlik","Power BI","Tableau",{"data science":29,"model testing":29,"data wrangling":29,"model training":29,"model selection":29,"machine learning":29,"model governance":30,"feature selection":29,"data visualization":29,"distributed databases":30,"network link analysis":30,"exploratory data analysis":29,"financial crime risk (fcr)":30,"anti-money laundering (aml)":30,"natural language processing":30},[45,46,47,48,49,50,51,52,53,54,55,56,57,58,59],"Data Science","Machine Learning","Data Wrangling","Exploratory Data Analysis","Feature Selection","Model Selection","Model Training","Model Testing","Model Governance","Anti-Money Laundering (AML)","Financial Crime Risk (FCR)","Data Visualization","Natural Language Processing","Network Link Analysis","Distributed Databases",1,{"id":62,"slug":63,"title":64,"raw_title":11,"is_featured":12,"company":65,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":68,"processed_country_iso_code_gmaps":69,"processed_home_office":70,"processed_salary_min":71,"processed_salary_max":21,"processed_salary_currency":72,"processed_salary_source":24,"processed_working_hours":73,"processed_employment_types":27,"processed_it_skills":74,"processed_it_skills_labels":75,"processed_job_expertise_skills":76,"processed_job_expertise_skills_labels":77,"max_cpc":60,"actual_cpc":60},68797,"predictive-modeler-auto-owners-insurance-company","Predictive Modeler",{"name":66,"slug":67,"logo_url":11},"Auto-Owners Insurance Company","auto-owners-insurance-company",[],[],"hybrid",80000,"USD",[26],{"r":30,"sql":30,"python":30},[33,34,32],{"clustering":29,"regression":29,"data science":29,"classification":29,"ad-hoc analysis":30,"large data sets":29,"machine learning":29,"model monitoring":30,"data visualization":30,"model documentation":30,"statistical modeling":29,"regulatory compliance":30},[78,46,45,79,80,81,82,83,56,84,85,86],"Statistical Modeling","Clustering","Regression","Classification","Large Data Sets","Ad-hoc Analysis","Model Documentation","Model Monitoring","Regulatory Compliance",{"id":88,"slug":89,"title":90,"raw_title":11,"is_featured":12,"company":91,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":94,"processed_country_iso_code_gmaps":95,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":96,"processed_employment_types":27,"processed_it_skills":97,"processed_it_skills_labels":98,"processed_job_expertise_skills":103,"processed_job_expertise_skills_labels":105,"max_cpc":60,"actual_cpc":60},76431,"avp-business-analyst-legal-compliance-ocbc-bank","AVP, Business Analyst (Legal & Compliance)",{"name":92,"slug":93,"logo_url":11},"OCBC Bank","ocbc-bank",[],[19],[26],{"sql":30,"python":30,"sas-fms":30,"oracle fccm":30,"sai netreveal":30,"data analysis tools":30},[99,100,101,32,33,102],"SAI NetReveal","Oracle FCCM","SAS-FMS","Data Analysis Tools",{"sdlc":29,"anti-fraud":29,"agile\u002Fscrum":29,"data science":104,"risk scoring":29,"data analysis":29,"machine learning":104,"business analysis":29,"process modelling":29,"project management":30,"requirements gathering":29,"transaction monitoring":29,"kyc (know your customer)":29,"customer due diligence (cdd)":29,"fcc (financial crime compliance)":29},2,[106,107,108,109,110,111,112,113,114,115,116,117,118,46,45],"Business Analysis","Requirements Gathering","Process Modelling","Data Analysis","FCC (Financial Crime Compliance)","KYC (Know Your Customer)","Anti-Fraud","Transaction Monitoring","Customer Due Diligence (CDD)","Risk Scoring","Agile\u002FScrum","SDLC","Project Management",{"id":120,"slug":121,"title":122,"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":70,"processed_salary_min":130,"processed_salary_max":131,"processed_salary_currency":132,"processed_salary_source":24,"processed_working_hours":133,"processed_employment_types":27,"processed_it_skills":134,"processed_it_skills_labels":135,"processed_job_expertise_skills":139,"processed_job_expertise_skills_labels":140,"max_cpc":60,"actual_cpc":60},98980,"senior-manager-data-reporting-insights-the-toronto-dominion-bank-canada","Senior Manager, Data, Reporting & Insights",{"name":124,"slug":125,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[127],"Toronto",[129],"CA",115600,163200,"CAD",[26],{"sql":30,"excel":30,"python":30,"tableau":30,"power bi":30,"ai and automation tools":30,"data visualization tools":29},[33,32,42,41,136,137,138],"Excel","Data Visualization Tools","AI and Automation Tools",{"procurement":30,"data lineage":29,"data science":29,"data controls":29,"data modeling":29,"business acumen":29,"data governance":29,"risk management":30,"data stewardship":29,"data storytelling":29,"advanced analytics":29,"financial analysis":30,"executive reporting":29,"predictive analytics":29,"business intelligence":29,"regulatory compliance":30,"self-service analytics":29,"third-party management":30,"data quality management":29,"data and analytics strategy":29},[141,142,143,144,145,146,147,148,45,149,150,151,152,153,86,154,155,156,157,158],"Data and Analytics Strategy","Data Governance","Data Stewardship","Data Quality Management","Data Lineage","Data Controls","Advanced Analytics","Predictive Analytics","Business Intelligence","Self-Service Analytics","Executive Reporting","Data Storytelling","Data Modeling","Risk Management","Procurement","Third-Party Management","Financial Analysis","Business Acumen",{"id":160,"slug":161,"title":162,"raw_title":11,"is_featured":12,"company":163,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":166,"processed_country_iso_code_gmaps":168,"processed_home_office":70,"processed_salary_min":170,"processed_salary_max":171,"processed_salary_currency":172,"processed_salary_source":24,"processed_working_hours":173,"processed_employment_types":27,"processed_it_skills":174,"processed_it_skills_labels":175,"processed_job_expertise_skills":181,"processed_job_expertise_skills_labels":182,"max_cpc":60,"actual_cpc":60},72198,"business-management-analyst-avp-9608-deutsche-india-private-limited-mumbai-branch","Business Management Analyst, AVP",{"name":164,"slug":165,"logo_url":11},"9608 Deutsche India Private Limited, Mumbai Branch","9608-deutsche-india-private-limited-mumbai-branch",[167],"Mumbai",[169],"IN",3000000,5000000,"INR",[26],{"css":30,"sql":29,"vba":30,"html":30,"excel":29,"python":29,"tableau":29,"power bi":29,"scripting":30,"ai-powered productivity tools (e.g., copilot, genai platforms)":30},[33,32,176,177,178,41,42,136,179,180],"CSS","HTML","Scripting","VBA","AI-powered productivity tools (e.g., Copilot, GenAI platforms)",{"pmp":104,"agile":104,"scrum":104,"controls":30,"data science":29,"data modelling":30,"lean six sigma":104,"process mining":104,"banking products":30,"machine learning":29,"operational risk":30,"process analysis":29,"process redesign":29,"project execution":29,"advanced analytics":29,"capability mapping":30,"automation delivery":29,"workflow automation":30,"predictive analytics":30,"operating model design":29,"private bank processes":30,"artificial intelligence":29,"transformation initiatives":29,"intelligent decision-support solutions":30},[183,46,45,147,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203],"Artificial Intelligence","Project execution","Data modelling","Predictive analytics","Workflow automation","Intelligent decision-support solutions","Process analysis","Operating model design","Process redesign","Capability mapping","Automation delivery","Transformation initiatives","Banking products","Private Bank processes","Operational risk","Controls","Lean Six Sigma","Agile","Scrum","PMP","Process Mining",{"id":205,"slug":206,"title":207,"raw_title":11,"is_featured":12,"company":208,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":209,"processed_country_iso_code_gmaps":210,"processed_home_office":70,"processed_salary_min":211,"processed_salary_max":212,"processed_salary_currency":172,"processed_salary_source":24,"processed_working_hours":213,"processed_employment_types":27,"processed_it_skills":214,"processed_it_skills_labels":215,"processed_job_expertise_skills":216,"processed_job_expertise_skills_labels":217,"max_cpc":60,"actual_cpc":60},72196,"business-management-analyst-as-9608-deutsche-india-private-limited-mumbai-branch","Business Management Analyst, AS",{"name":164,"slug":165,"logo_url":11},[167],[169],2000000,3500000,[26],{"css":30,"sql":29,"vba":30,"html":30,"excel":29,"python":29,"tableau":29,"power bi":29,"scripting":30,"ai-powered productivity tools (e.g., copilot, genai platforms)":30},[33,32,176,177,178,41,42,136,179,180],{"data science":29,"documentation":30,"user training":30,"data modelling":29,"benefit analysis":29,"machine learning":29,"process analysis":29,"process redesign":29,"knowledge sharing":30,"project reporting":30,"advanced analytics":29,"capability mapping":29,"workflow automation":29,"predictive analytics":29,"continuous improvement":30,"artificial intelligence":29,"business case development":29,"intelligent decision-support solutions":29,"delivery of complex change or transformation initiatives":29},[183,46,45,147,185,186,187,188,189,191,192,218,219,220,221,222,223,224,225],"Delivery of complex change or transformation initiatives","Business case development","Benefit analysis","Project reporting","Documentation","User training","Knowledge sharing","Continuous improvement",{"id":227,"slug":228,"title":229,"raw_title":11,"is_featured":12,"company":230,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":233,"processed_country_iso_code_gmaps":235,"processed_home_office":20,"processed_salary_min":237,"processed_salary_max":238,"processed_salary_currency":72,"processed_salary_source":24,"processed_working_hours":239,"processed_employment_types":240,"processed_it_skills":241,"processed_it_skills_labels":242,"processed_job_expertise_skills":245,"processed_job_expertise_skills_labels":246,"max_cpc":60,"actual_cpc":60},67416,"actuarial-leadership-development-program-aldp-intern-020-travelers-indemnity-co","Actuarial Leadership Development Program (ALDP) Intern",{"name":231,"slug":232,"logo_url":11},"Travelers Indemnity Co","travelers-indemnity-co",[234],"Hartford",[236],"US",28,33,[26],"student",{"microsoft excel":30,"artificial intelligence (ai) tools\u002Fplatforms":104},[243,244],"Microsoft Excel","Artificial Intelligence (AI) tools\u002Fplatforms",{"reserving":104,"data science":104,"risk analysis":104,"actuarial science":30,"product management":104,"pricing and ratemaking":104},[247,248,249,250,251,45],"Actuarial Science","Pricing and Ratemaking","Reserving","Risk Analysis","Product Management",{"id":253,"slug":254,"title":255,"raw_title":11,"is_featured":12,"company":256,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":257,"processed_country_iso_code_gmaps":258,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":259,"processed_employment_types":27,"processed_it_skills":260,"processed_it_skills_labels":261,"processed_job_expertise_skills":277,"processed_job_expertise_skills_labels":278,"max_cpc":60,"actual_cpc":60},68052,"vp-avp-genai-engineerscientist-innovation-group-1011-united-overseas-bank-ltd","VP \u002F AVP, GenAI Engineer\u002FScientist, Innovation Group",{"name":14,"slug":15,"logo_url":11},[17],[19],[26],{"nlp":29,"rag":29,"python":29,"embeddings":29,"calibration":29,"fine-tuning":29,"bias testing":29,"responsible ai":29,"audit artifacts":29,"retrieval methods":29,"prompt optimization":29,"reliability concepts":29,"evaluation frameworks":29,"privacy leakage checks":29,"llm & agentic ai systems":29,"classification\u002Fextraction":29},[33,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276],"LLM & Agentic AI systems","NLP","Fine-tuning","RAG","Prompt optimization","Evaluation frameworks","Embeddings","Retrieval methods","Classification\u002Fextraction","Calibration","Reliability concepts","Responsible AI","Bias testing","Privacy leakage checks","Audit artifacts",{"deployment":29,"measurement":29,"data science":29,"ai\u002Fml systems":29,"generative ai":29,"error analysis":29,"data preparation":29,"model development":29,"experimental design":29,"process improvement":29,"statistical thinking":29,"evaluation methodology":29,"performance monitoring":29,"banking\u002Ffinancial services":30,"post production monitoring":29,"service lifecycle management":29,"large language model projects":29},[279,280,281,282,283,284,285,286,45,287,288,289,290,291,292,293,294],"Performance Monitoring","Process Improvement","Service Lifecycle Management","Experimental design","Measurement","Error analysis","Statistical thinking","Evaluation methodology","AI\u002FML systems","Data preparation","Model development","Deployment","Post production monitoring","Generative AI","Large language model projects","Banking\u002Ffinancial services",{"id":296,"slug":297,"title":298,"raw_title":11,"is_featured":12,"company":299,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":302,"processed_country_iso_code_gmaps":303,"processed_home_office":70,"processed_salary_min":304,"processed_salary_max":305,"processed_salary_currency":132,"processed_salary_source":24,"processed_working_hours":306,"processed_employment_types":307,"processed_it_skills":308,"processed_it_skills_labels":309,"processed_job_expertise_skills":318,"processed_job_expertise_skills_labels":319,"max_cpc":60,"actual_cpc":60},65725,"senior-data-scientist-sun-life-assurance-company-of-canada","Senior Data Scientist",{"name":300,"slug":301,"logo_url":11},"Sun Life Assurance Company of Canada","sun-life-assurance-company-of-canada",[127],[129],90000,140000,[26],"contract",{"aws":30,"rag":29,"sql":30,"crewai":30,"python":29,"pyspark":30,"llm apis":29,"langchain":30,"langgraph":30,"genai frameworks":29,"vector databases":30},[33,32,310,311,312,313,265,314,315,316,317],"PySpark","AWS","GenAI frameworks","LLM APIs","Vector databases","LangChain","LangGraph","CrewAI",{"data science":29,"machine learning":29,"model evaluation":29,"conversational ai":30,"project management":30,"prompt engineering":29,"chatbot development":30,"feature engineering":29,"technical leadership":30,"stakeholder management":30},[46,45,320,321,322,323,324,325,326,118],"Feature Engineering","Model Evaluation","Prompt Engineering","Chatbot Development","Conversational AI","Technical Leadership","Stakeholder Management",{"id":328,"slug":329,"title":330,"raw_title":11,"is_featured":12,"company":331,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":334,"processed_country_iso_code_gmaps":336,"processed_home_office":70,"processed_salary_min":338,"processed_salary_max":304,"processed_salary_currency":339,"processed_salary_source":24,"processed_working_hours":340,"processed_employment_types":27,"processed_it_skills":341,"processed_it_skills_labels":342,"processed_job_expertise_skills":344,"processed_job_expertise_skills_labels":345,"max_cpc":60,"actual_cpc":60},73623,"data-science-team-manager-ing-hubs-bv-turkiye","Data Science Team Manager",{"name":332,"slug":333,"logo_url":11},"ING Hubs B.V. Turkiye","ing-hubs-bv-turkiye",[335],"İstanbul",[337],"TR",60000,"EUR",[26],{"spark":29,"python":29},[33,343],"Spark",{"analytics":29,"agile\u002Fscrum":29,"data science":29,"matrix management":30,"people management":29,"resource planning":29,"backlog management":29,"project management":30,"retail domain knowledge":29},[45,116,346,347,348,349,350,351,118],"Backlog Management","Resource Planning","Retail Domain Knowledge","Analytics","People Management","Matrix Management",{"id":353,"slug":354,"title":355,"raw_title":11,"is_featured":12,"company":356,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":359,"processed_country_iso_code_gmaps":361,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":72,"processed_salary_source":24,"processed_working_hours":362,"processed_employment_types":27,"processed_it_skills":363,"processed_it_skills_labels":364,"processed_job_expertise_skills":378,"processed_job_expertise_skills_labels":379,"max_cpc":60,"actual_cpc":60},59769,"lead-data-scientist-ind201-refinitiv-india-shared-services-private-limited-3","Lead Data Scientist",{"name":357,"slug":358,"logo_url":11},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[360],"Bengaluru",[169],[26],{"r":30,"git":30,"nlp":29,"rag":29,"sql":30,"ci\u002Fcd":30,"mlops":29,"llmops":29,"python":29,"ai agents":30,"langchain":30,"llamaindex":30,"web scraping":30,"deep learning":29,"machine learning":29,"vector databases":30,"entity recognition":30,"large language models":29,"synthetic data techniques":30,"cloud platforms (azure\u002Faws)":29},[33,34,32,46,365,263,366,265,367,368,369,370,371,372,315,373,374,375,376,377],"Deep Learning","Large Language Models","MLOps","LLMOps","CI\u002FCD","Git","Cloud Platforms (Azure\u002FAWS)","Vector Databases","LlamaIndex","Synthetic Data Techniques","AI Agents","Web Scraping","Entity Recognition",{"statistics":29,"data science":29,"ai governance":30,"product vision":29,"responsible ai":29,"risk frameworks":30,"data engineering":29,"model deployment":29,"model evaluation":29,"investment banking":30,"technical strategy":29,"financial analytics":29,"regulatory compliance":30,"stakeholder engagement":29},[45,380,381,382,383,384,385,86,321,386,387,388,389,273],"Statistics","Data Engineering","Financial Analytics","Investment Banking","AI Governance","Risk Frameworks","Model Deployment","Product Vision","Stakeholder Engagement","Technical Strategy",{"id":391,"slug":392,"title":355,"raw_title":11,"is_featured":12,"company":393,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":394,"processed_country_iso_code_gmaps":395,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":72,"processed_salary_source":24,"processed_working_hours":396,"processed_employment_types":27,"processed_it_skills":397,"processed_it_skills_labels":398,"processed_job_expertise_skills":401,"processed_job_expertise_skills_labels":402,"max_cpc":60,"actual_cpc":60},59767,"lead-data-scientist-ind201-refinitiv-india-shared-services-private-limited-2",{"name":357,"slug":358,"logo_url":11},[360],[169],[26],{"r":30,"aws":29,"sql":30,"azure":29,"ci\u002Fcd":29,"mlops":29,"python":29,"pytorch":29,"tensorflow":29,"scikit-learn":29},[33,34,32,38,399,39,311,400,367,369],"PyTorch","Azure",{"nlp":29,"rag":29,"llms":29,"statistics":29,"data science":29,"web scraping":30,"ai governance":30,"deep learning":29,"data pipelines":29,"responsible ai":30,"cloud computing":29,"data extraction":30,"data engineering":29,"machine learning":29,"model deployment":29,"model evaluation":29,"entity recognition":30,"financial analytics":30},[45,46,365,263,403,265,380,381,404,386,384,382,376,377,405,406,321,273],"LLMs","Cloud Computing","Data Extraction","Data Pipelines",{"id":408,"slug":409,"title":410,"raw_title":11,"is_featured":12,"company":411,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":414,"processed_country_iso_code_gmaps":416,"processed_home_office":70,"processed_salary_min":417,"processed_salary_max":418,"processed_salary_currency":72,"processed_salary_source":24,"processed_working_hours":419,"processed_employment_types":27,"processed_it_skills":420,"processed_it_skills_labels":421,"processed_job_expertise_skills":424,"processed_job_expertise_skills_labels":425,"max_cpc":60,"actual_cpc":60},75547,"director-of-insurance-analytics-mitsui-sumitomo-marine-management-usa-inc","Director of Insurance Analytics",{"name":412,"slug":413,"logo_url":11},"Mitsui Sumitomo Marine Management (USA), Inc.","mitsui-sumitomo-marine-management-usa-inc",[415],"Warren County",[236],225000,250000,[26],{"sql":29,"python":29,"tableau":104,"xgboost":30,"power bi":104,"scikit-learn":30},[33,32,422,423,41,42],"scikit-learn","XGBoost",{"analytics":29,"data science":29,"cloud analytics":30,"experimentation":30,"team leadership":30,"causal inference":30,"machine learning":29,"productionization":30,"data visualization":30,"portfolio management":29,"statistical modeling":29,"insurance domain knowledge":30},[349,45,78,46,426,427,428,429,430,56,431,432],"Experimentation","Causal Inference","Insurance Domain Knowledge","Productionization","Cloud Analytics","Portfolio Management","Team Leadership",{"id":434,"slug":435,"title":436,"raw_title":11,"is_featured":12,"company":437,"raw_hiringOrganization_logo_url":440,"processed_city_gmaps":441,"processed_country_iso_code_gmaps":444,"processed_home_office":70,"processed_salary_min":11,"processed_salary_max":11,"processed_salary_currency":339,"processed_salary_source":24,"processed_working_hours":446,"processed_employment_types":240,"processed_it_skills":448,"processed_it_skills_labels":449,"processed_job_expertise_skills":453,"processed_job_expertise_skills_labels":454,"max_cpc":60,"actual_cpc":60},67714,"werkstudierende-data-science-mwd-truuco-gmbh","Werkstudierende Data Science (m\u002Fw\u002Fd)",{"name":438,"slug":439,"logo_url":11},"TRUUCO GmbH","truuco-gmbh","https:\u002F\u002Fassets.cdn.personio.de\u002Flogos\u002F152232\u002Fsocial\u002F7a313ee1791dcf0554cc471d753f765a.png",[442,443],"Karlsruhe","Frankfurt am Main",[445],"DE",[447],"PART_TIME",{"git":104,"python":30,"bitbucket":104,"databricks":104,"cookiecutter":104},[33,370,450,451,452],"Bitbucket","Databricks","Cookiecutter",{"statistics":30,"data science":30,"data analysis":30,"machine learning":30,"data visualization":30,"model documentation":30},[380,45,46,109,56,84],{"id":456,"slug":457,"title":458,"raw_title":11,"is_featured":12,"company":459,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":460,"processed_country_iso_code_gmaps":461,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":462,"processed_employment_types":27,"processed_it_skills":463,"processed_it_skills_labels":464,"processed_job_expertise_skills":474,"processed_job_expertise_skills_labels":475,"max_cpc":60,"actual_cpc":60},62501,"senior-applied-data-scientist-ocbc-bank","Senior Applied Data Scientist",{"name":92,"slug":93,"logo_url":11},[],[19],[26],{"aws":30,"git":30,"ray":30,"sql":30,"jira":30,"trino":30,"hadoop":30,"python":29,"elastic":30,"jenkins":30,"microsoft word":104,"microsoft excel":30,"microsoft access":104,"microsoft powerpoint":104},[33,32,465,466,467,468,311,370,469,470,243,471,472,473],"Hadoop","Trino","Elastic","Ray","Jenkins","Jira","Microsoft Access","Microsoft Word","Microsoft PowerPoint",{"ci\u002Fcd":30,"mlops":29,"data science":29,"deep learning":29,"generative ai":29,"responsible ai":30,"fraud detection":30,"risk management":30,"data engineering":30,"machine learning":29,"model deployment":29,"model governance":30,"model monitoring":29,"customer analytics":29,"project management":30,"statistical modeling":29,"large language models":29,"retrieval-augmented generation":29},[45,46,365,292,78,476,154,477,386,367,369,381,366,478,85,53,273,118],"Customer Analytics","Fraud Detection","Retrieval-Augmented Generation",{"id":480,"slug":481,"title":482,"raw_title":11,"is_featured":12,"company":483,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":486,"processed_country_iso_code_gmaps":488,"processed_home_office":70,"processed_salary_min":490,"processed_salary_max":491,"processed_salary_currency":492,"processed_salary_source":24,"processed_working_hours":493,"processed_employment_types":27,"processed_it_skills":494,"processed_it_skills_labels":495,"processed_job_expertise_skills":501,"processed_job_expertise_skills_labels":502,"max_cpc":60,"actual_cpc":60},60001,"senior-research-specialist-power-pol007-refinitiv-poland-spoka-z-oo","Senior Research Specialist, Power",{"name":484,"slug":485,"logo_url":11},"Refinitiv Poland Spółka z o.o.","refinitiv-poland-spoka-z-oo",[487],"Gdynia",[489],"PL",119200,188400,"PLN",[26],{"r":30,"apis":30,"matlab":30,"python":29,"databases":30,"data pipelines":30,"machine learning":29,"time-series analysis":29,"cloud-based analytical environments":30},[33,34,496,46,497,406,498,499,500],"MATLAB","Time-series Analysis","APIs","Databases","Cloud-based Analytical Environments",{"meteorology":30,"data science":29,"energy systems":30,"predictive modelling":29,"power market analysis":29,"statistical modelling":29,"renewables forecasting":29,"geospatial data analysis":30,"weather-driven energy dynamics":29,"fundamental supply-and-demand modelling":29},[503,504,505,506,507,508,509,45,510,511],"Fundamental Supply-and-Demand Modelling","Power Market Analysis","Renewables Forecasting","Weather-driven Energy Dynamics","Statistical Modelling","Predictive Modelling","Geospatial Data Analysis","Energy Systems","Meteorology",{"id":513,"slug":514,"title":515,"raw_title":11,"is_featured":12,"company":516,"raw_hiringOrganization_logo_url":519,"processed_city_gmaps":520,"processed_country_iso_code_gmaps":522,"processed_home_office":20,"processed_salary_min":338,"processed_salary_max":304,"processed_salary_currency":339,"processed_salary_source":24,"processed_working_hours":523,"processed_employment_types":27,"processed_it_skills":524,"processed_it_skills_labels":525,"processed_job_expertise_skills":526,"processed_job_expertise_skills_labels":527,"max_cpc":60,"actual_cpc":60},50576,"junior-aktuar-risikomodellierung-marktversicherungstechnik-mwd-arag-se-2","(Junior) Aktuar – Risikomodellierung Markt\u002FVersicherungstechnik (m\u002Fw\u002Fd)",{"name":517,"slug":518,"logo_url":519},"ARAG SE","arag-se","https:\u002F\u002Fwww.karriere-bei-arag.de\u002Fuploads\u002F726\u002Fsettings\u002Fcreators\u002Farag-zentrale-306-606c6ea26a090.png",[521],"Düsseldorf",[445],[26],{"sql":30,"excel":30,"python":30},[33,32,136],{"solvency ii":29,"data science":30,"risk modeling":29,"actuarial science":30,"quantitative analysis":29},[528,529,530,45,247],"Risk Modeling","Solvency II","Quantitative Analysis",{"id":532,"slug":533,"title":534,"raw_title":11,"is_featured":12,"company":535,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":539,"processed_country_iso_code_gmaps":540,"processed_home_office":20,"processed_salary_min":541,"processed_salary_max":542,"processed_salary_currency":172,"processed_salary_source":24,"processed_working_hours":543,"processed_employment_types":27,"processed_it_skills":544,"processed_it_skills_labels":545,"processed_job_expertise_skills":553,"processed_job_expertise_skills_labels":554,"max_cpc":60,"actual_cpc":60},51580,"python-developer-annet-technologies-mumbai-llp","Python Developer",{"name":536,"slug":537,"logo_url":538},"Annet Technologies (Mumbai) LLP","annet-technologies-mumbai-llp","https:\u002F\u002Fwww.apexgroup.com\u002Fmedia\u002Fl05krqrh\u002Fapex-logo.svg",[167],[169],1200000,2500000,[26],{"aws":104,"css":104,"sql":30,"html":104,"azure":104,"nosql":30,"numpy":30,"scipy":30,"django":30,"pandas":30,"python":29,"pyramid":30,"pytorch":30,"javascript":104,"google cloud":104},[33,546,36,547,399,177,176,548,32,549,550,551,552,311,400],"NumPy","SciPy","JavaScript","NoSQL","Django","Pyramid","Google Cloud",{"debugging":30,"code review":30,"data science":30,"data engineering":29,"machine learning":30,"back-end development":29,"feature prioritization":30,"artificial intelligence":30,"software development lifecycle":29},[555,381,556,557,558,559,46,45,183],"Software Development Lifecycle","Back-end Development","Code Review","Debugging","Feature Prioritization",{"id":561,"slug":562,"title":563,"raw_title":11,"is_featured":12,"company":564,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":567,"processed_country_iso_code_gmaps":568,"processed_home_office":20,"processed_salary_min":569,"processed_salary_max":570,"processed_salary_currency":72,"processed_salary_source":24,"processed_working_hours":571,"processed_employment_types":27,"processed_it_skills":572,"processed_it_skills_labels":573,"processed_job_expertise_skills":575,"processed_job_expertise_skills_labels":576,"max_cpc":60,"actual_cpc":60},64612,"ml-architect-sedgwick-claims-management-services-inc","ML Architect",{"name":565,"slug":566,"logo_url":11},"Sedgwick Claims Management Services Inc.","sedgwick-claims-management-services-inc",[],[236],175000,220000,[26],{"r":29,"sql":29,"python":29,"microsoft office":104,"data visualization tools":30},[33,34,32,137,574],"Microsoft Office",{"data science":29,"etl pipelines":29,"data wrangling":29,"data exploration":29,"machine learning":29,"data visualization":30,"feature engineering":29,"predictive modeling":29,"statistical analysis":29,"natural language processing":30},[46,577,45,47,320,57,578,579,580,56],"Predictive Modeling","ETL Pipelines","Data Exploration","Statistical Analysis",{"id":582,"slug":583,"title":584,"raw_title":11,"is_featured":12,"company":585,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":588,"processed_country_iso_code_gmaps":589,"processed_home_office":20,"processed_salary_min":304,"processed_salary_max":590,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":591,"processed_employment_types":27,"processed_it_skills":592,"processed_it_skills_labels":593,"processed_job_expertise_skills":597,"processed_job_expertise_skills_labels":598,"max_cpc":60,"actual_cpc":606},47972,"machine-learning-engineer-ch10-bjb-bank-julius-baer-amp-co-ltd","Machine Learning Engineer",{"name":586,"slug":587,"logo_url":11},"Bank Julius Baer & Co. Ltd.","bank-julius-baer-co-ltd",[17],[19],150000,[26],{"python":29,"pytorch":30,"testing":30,"tensorflow":30,"documentation":30,"version control":30,"llm orchestration frameworks":30},[33,38,399,594,595,596,222],"LLM orchestration frameworks","Version control","Testing",{"ai agents":29,"statistics":30,"rag systems":29,"data science":29,"optimization":30,"linear algebra":30,"machine learning":29,"model evaluation":29,"data preprocessing":30,"feature engineering":30,"large language models":29},[46,45,366,599,600,601,602,603,380,604,605],"AI agents","RAG systems","Model evaluation","Data preprocessing","Feature engineering","Linear algebra","Optimization",0.5,{"industry":608,"employment_type":657,"expertise_skills":669,"it_skills":731,"salary_currency":798,"processed_working_hours":821},[609,613,617,620,624,628,630,633,636,639,642,645,648,651,654],{"key":610,"label":611,"count":612},"financial services","Financial Services",52,{"key":614,"label":615,"count":616},"banking","Banking",41,{"key":618,"label":619,"count":238},"insurance","Insurance",{"key":621,"label":622,"count":623},"financial markets infrastructure","Financial Markets Infrastructure",11,{"key":625,"label":626,"count":627},"data provider","Data Provider",10,{"key":629,"label":154,"count":60},"risk management",{"key":631,"label":632,"count":60},"risk","Risk",{"key":634,"label":635,"count":60},"wealth management solutions","Wealth Management Solutions",{"key":637,"label":638,"count":60},"wealth management","Wealth Management",{"key":640,"label":641,"count":60},"digital banking","Digital Banking",{"key":643,"label":644,"count":60},"data","Data",{"key":646,"label":647,"count":60},"fund administration","Fund Administration",{"key":649,"label":650,"count":60},"middle office","Middle Office",{"key":652,"label":653,"count":60},"asset management","Asset Management",{"key":655,"label":656,"count":60},"claims administration","Claims Administration",[658,661,664,667],{"key":27,"label":659,"count":660},"PERMANENT",92,{"key":240,"label":662,"count":663},"STUDENT",16,{"key":665,"label":666,"count":104},"temporary","TEMPORARY",{"key":307,"label":668,"count":60},"CONTRACT",[670,672,675,678,681,684,687,690,693,696,698,701,703,705,707,710,712,714,716,718,721,723,725,728],{"key":671,"label":45,"slug":671,"count":5},"data-science",{"key":673,"label":46,"slug":673,"count":674},"machine-learning",49,{"key":676,"label":56,"slug":676,"count":677},"data-visualization",23,{"key":679,"label":380,"slug":679,"count":680},"statistics",21,{"key":682,"label":109,"slug":682,"count":683},"data-analysis",17,{"key":685,"label":686,"slug":685,"count":663},"project-management","Project management",{"key":688,"label":689,"slug":688,"count":663},"generative-ai","Generative Ai",{"key":691,"label":577,"slug":691,"count":692},"predictive-modeling",15,{"key":694,"label":85,"slug":694,"count":695},"model-monitoring",13,{"key":697,"label":86,"slug":697,"count":695},"regulatory-compliance",{"key":699,"label":154,"slug":699,"count":700},"risk-management",12,{"key":702,"label":386,"slug":702,"count":700},"model-deployment",{"key":704,"label":183,"slug":704,"count":700},"artificial-intelligence",{"key":706,"label":147,"slug":706,"count":700},"advanced-analytics",{"key":708,"label":709,"slug":708,"count":623},"data-analytics","Data Analytics",{"key":711,"label":381,"slug":711,"count":623},"data-engineering",{"key":713,"label":78,"slug":713,"count":623},"statistical-modeling",{"key":715,"label":365,"slug":715,"count":627},"deep-learning",{"key":717,"label":53,"slug":717,"count":627},"model-governance",{"key":719,"label":326,"slug":719,"count":720},"stakeholder-management",9,{"key":722,"label":320,"slug":722,"count":720},"feature-engineering",{"key":724,"label":247,"slug":724,"count":720},"actuarial-science",{"key":726,"label":727,"slug":726,"count":720},"responsible-ai","Responsible Ai",{"key":729,"label":730,"slug":729,"count":720},"model-validation","Model Validation",[732,735,738,741,742,746,748,751,753,756,759,763,764,766,768,771,774,776,777,781,784,787,791,795],{"key":733,"label":33,"slug":733,"count":734},"python",101,{"key":736,"label":32,"slug":736,"count":737},"sql",79,{"key":739,"label":34,"slug":739,"count":740},"r",32,{"key":673,"label":46,"slug":673,"count":677},{"key":743,"label":744,"slug":743,"count":745},"ms-powerbi","MS PowerBI",20,{"key":422,"label":747,"slug":422,"count":683},"Scikit-Learn",{"key":749,"label":750,"slug":749,"count":663},"mlops","Mlops",{"key":752,"label":42,"slug":752,"count":663},"tableau",{"key":754,"label":755,"slug":754,"count":692},"pytorch","Pytorch",{"key":757,"label":758,"slug":757,"count":692},"ms-excel","MS Excel",{"key":760,"label":761,"slug":760,"count":762},"tensorflow","Tensorflow",14,{"key":676,"label":56,"slug":676,"count":623},{"key":765,"label":370,"slug":765,"count":627},"git",{"key":767,"label":36,"slug":767,"count":627},"pandas",{"key":769,"label":770,"slug":769,"count":627},"sas","Sas",{"key":772,"label":773,"slug":772,"count":627},"aws","Aws",{"key":775,"label":465,"slug":775,"count":627},"hadoop",{"key":688,"label":689,"slug":688,"count":720},{"key":778,"label":779,"slug":778,"count":780},"langchain","Langchain",8,{"key":782,"label":783,"slug":782,"count":780},"apache-spark","Apache Spark",{"key":785,"label":786,"slug":785,"count":780},"ms-azure","MS Azure",{"key":788,"label":789,"slug":788,"count":790},"c","C++",7,{"key":792,"label":793,"slug":792,"count":794},"nlp","Nlp",6,{"key":796,"label":797,"slug":796,"count":794},"ms-word","MS Word",[799,801,802,803,804,805,807,809,811,813,815,817,819],{"key":72,"label":72,"count":800},31,{"key":339,"label":339,"count":745},{"key":23,"label":23,"count":745},{"key":172,"label":172,"count":720},{"key":132,"label":132,"count":720},{"key":492,"label":492,"count":806},5,{"key":808,"label":808,"count":806},"MYR",{"key":810,"label":810,"count":29},"GBP",{"key":812,"label":812,"count":30},"MXN",{"key":814,"label":814,"count":30},"HKD",{"key":816,"label":816,"count":104},"PHP",{"key":818,"label":818,"count":104},"AUD",{"key":820,"label":820,"count":60},"CZK",[822,824],{"key":26,"label":26,"count":823},107,{"key":447,"label":447,"count":720},{"total":60,"jobs":826},[]]