[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-machine-learning-global":3,"job-search-\u002Fde\u002Fjobs-by-expertise\u002Fmachine-learning?page=10":4,"expertise-filters-\u002Fde\u002Fjobs-by-expertise\u002Fmachine-learning?page=10":614,"featured-jobs-\u002Fde\u002Fjobs-by-expertise\u002Fmachine-learning?page=10":872},{},{"total":5,"jobs":6},214,[7,63,100,133,153,175,212,228,264,291,324,350,392,414,470,495,517,542,568,584],{"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":46,"processed_job_expertise_skills_labels":48,"max_cpc":62,"actual_cpc":62},59991,"junior-data-scientist-pol007-refinitiv-poland-spoka-z-oo","Junior Data Scientist",null,false,{"name":14,"slug":15,"logo_url":11},"Refinitiv Poland Spółka z o.o.","refinitiv-poland-spoka-z-oo",[17],"Gdynia",[19],"PL","onsite",114700,181500,"PLN","estimated",[26],"FULL_TIME","permanent",{"r":29,"aws":29,"git":29,"nlp":30,"rag":30,"sql":29,"llms":30,"azure":29,"ci\u002Fcd":29,"mlops":29,"numpy":30,"pandas":30,"python":30,"scikit-learn":30},3,4,[32,33,34,35,36,37,38,39,40,41,42,43,44,45],"Python","SQL","R","Git","AWS","Azure","Pandas","NumPy","Scikit-learn","NLP","LLMs","RAG","MLOps","CI\u002FCD",{"web scraping":29,"data cleaning":30,"deep learning":30,"data analytics":30,"data management":29,"machine learning":30,"entity extraction":29,"data transformation":30,"feature engineering":30,"exploratory analysis":30,"statistical modelling":30,"synthetic data generation":29,"financial services knowledge":47},2,[49,50,51,52,53,54,55,56,57,58,59,60,61],"Data Analytics","Feature Engineering","Statistical Modelling","Machine Learning","Deep Learning","Data Cleaning","Data Transformation","Exploratory Analysis","Web Scraping","Entity Extraction","Synthetic Data Generation","Financial Services Knowledge","Data Management",1,{"id":64,"slug":65,"title":66,"raw_title":11,"is_featured":12,"company":67,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":70,"processed_country_iso_code_gmaps":72,"processed_home_office":20,"processed_salary_min":74,"processed_salary_max":75,"processed_salary_currency":76,"processed_salary_source":24,"processed_working_hours":77,"processed_employment_types":27,"processed_it_skills":78,"processed_it_skills_labels":79,"processed_job_expertise_skills":82,"processed_job_expertise_skills_labels":83,"max_cpc":62,"actual_cpc":62},59451,"senior-data-scientist-chn010-refinitiv-technology-china-co-ltd","Senior Data Scientist",{"name":68,"slug":69,"logo_url":11},"Refinitiv Technology China Co., Ltd.","refinitiv-technology-china-co-ltd",[71],"Hai Dian Qu",[73],"CN",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},[32,33,34,80,81,40,35,36,37,45,44],"TensorFlow","PyTorch",{"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},[84,52,53,85,86,87,88,89,50,90,49,91,58,61,92,93,94,95,96,97,98,99],"Data Science","Natural Language Processing","Large Language Models","Prompt Engineering","Retrieval-Augmented Generation","Statistical Analysis","Predictive Modeling","Web Crawling","Financial Analytics","Product Vision","Coding Standards","Evaluation Frameworks","Cloud Platforms","Relational Databases","Large-scale Data Processing","Data Pipeline",{"id":101,"slug":102,"title":103,"raw_title":11,"is_featured":12,"company":104,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":107,"processed_country_iso_code_gmaps":109,"processed_home_office":20,"processed_salary_min":111,"processed_salary_max":112,"processed_salary_currency":113,"processed_salary_source":24,"processed_working_hours":114,"processed_employment_types":27,"processed_it_skills":115,"processed_it_skills_labels":116,"processed_job_expertise_skills":123,"processed_job_expertise_skills_labels":124,"max_cpc":62,"actual_cpc":62},67211,"staff-software-engineerdata-scientist-hartford-global-services-private-limited","Staff Software Engineer\u002FData Scientist",{"name":105,"slug":106,"logo_url":11},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[108],"Hyderabad",[110],"IN",50000,80000,"INR",[26],{"git":29,"sql":29,"docker":47,"mlflow":47,"python":30,"pytorch":29,"azure ai":29,"langchain":47,"vertex ai":29,"tensorflow":29,"aws sagemaker":29},[32,33,81,80,35,117,118,119,120,121,122],"Docker","Vertex AI","AWS SageMaker","Azure AI","LangChain","MLflow",{"nlp":30,"ocr":47,"rag":30,"mlops":29,"deep learning":30,"generative ai":30,"responsible ai":29,"cloud computing":29,"data engineering":29,"document parsing":29,"machine learning":30,"model evaluation":30,"statistical modeling":30,"synthetic data generation":29},[52,125,53,41,126,43,127,44,128,59,129,130,131,132],"Statistical Modeling","Generative AI","Data Engineering","Model Evaluation","Cloud Computing","Document Parsing","OCR","Responsible AI",{"id":134,"slug":135,"title":10,"raw_title":11,"is_featured":12,"company":136,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":139,"processed_country_iso_code_gmaps":141,"processed_home_office":20,"processed_salary_min":143,"processed_salary_max":144,"processed_salary_currency":145,"processed_salary_source":24,"processed_working_hours":146,"processed_employment_types":27,"processed_it_skills":147,"processed_it_skills_labels":148,"processed_job_expertise_skills":149,"processed_job_expertise_skills_labels":150,"max_cpc":62,"actual_cpc":62},59947,"junior-data-scientist-phl001-refinitiv-limited-philippines-branch",{"name":137,"slug":138,"logo_url":11},"Refinitiv Limited - Philippines Branch","refinitiv-limited-philippines-branch",[140],"Taguig",[142],"PH",30000,45000,"PHP",[26],{"r":29,"aws":29,"git":29,"sql":29,"azure":29,"ci\u002Fcd":29,"mlops":29,"numpy":30,"pandas":30,"python":30,"scikit-learn":30},[32,33,34,35,36,37,38,39,40,44,45],{"nlp":30,"llms":30,"web scraping":29,"data cleaning":30,"rag workflows":30,"data analytics":30,"data management":29,"machine learning":30,"entity extraction":29,"data transformation":30,"feature engineering":30,"exploratory analysis":30,"statistical modelling":29,"financial services knowledge":47,"investment banking knowledge":47},[49,50,52,41,42,151,51,54,55,56,57,58,61,60,152],"RAG Workflows","Investment Banking Knowledge",{"id":154,"slug":155,"title":156,"raw_title":11,"is_featured":12,"company":157,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":158,"processed_country_iso_code_gmaps":159,"processed_home_office":20,"processed_salary_min":111,"processed_salary_max":160,"processed_salary_currency":76,"processed_salary_source":24,"processed_working_hours":161,"processed_employment_types":27,"processed_it_skills":162,"processed_it_skills_labels":163,"processed_job_expertise_skills":166,"processed_job_expertise_skills_labels":167,"max_cpc":62,"actual_cpc":62},67208,"senior-software-engineerdata-scientist-hartford-global-services-private-limited","Senior Software Engineer\u002FData Scientist",{"name":105,"slug":106,"logo_url":11},[108],[110],70000,[26],{"git":29,"sql":29,"mlflow":47,"python":30,"azure ml":47,"sagemaker":47,"vertex ai":47},[32,33,35,122,118,164,165],"SageMaker","Azure ML",{"gbm":30,"glm":30,"a\u002Fb testing":29,"documentation":29,"data validation":29,"machine learning":30,"model evaluation":30,"model monitoring":29,"vendor management":29,"statistical modeling":30},[125,52,168,169,128,170,171,172,173,174],"GLM","GBM","Data Validation","Vendor Management","A\u002FB Testing","Model Monitoring","Documentation",{"id":176,"slug":177,"title":178,"raw_title":11,"is_featured":12,"company":179,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":180,"processed_country_iso_code_gmaps":181,"processed_home_office":20,"processed_salary_min":74,"processed_salary_max":75,"processed_salary_currency":76,"processed_salary_source":24,"processed_working_hours":182,"processed_employment_types":27,"processed_it_skills":183,"processed_it_skills_labels":184,"processed_job_expertise_skills":205,"processed_job_expertise_skills_labels":206,"max_cpc":62,"actual_cpc":62},67212,"staff-engineerai-ml-engineer-hartford-global-services-private-limited","Staff Engineer\u002FAI-ML Engineer",{"name":105,"slug":106,"logo_url":11},[108],[110],[26],{"c#":29,"aws":30,"ec2":29,"gcp":30,"sql":29,"hive":29,"java":29,"spark":29,"docker":29,"github":30,"hadoop":29,"python":30,"autosys":29,"jenkins":29,"anaconda":29,"bigquery":29,"redshift":29,"sagemaker":29,"snowflake":29,"streamlit":29,"terraform":29,"kubernetes":29,"tensorflow":29,"scikit-learn":29,"apache airflow":29,"cloudformation":29,"github actions":30},[32,185,186,33,36,187,164,188,189,190,191,192,193,194,195,196,197,198,199,200,201,117,202,203,80,40,204],"Java","C#","GCP","Streamlit","Jenkins","Terraform","CloudFormation","GitHub","GitHub Actions","Hadoop","Spark","Hive","Redshift","Snowflake","BigQuery","Apache Airflow","Autosys","Kubernetes","EC2","Anaconda",{"mlops":30,"insurance":29,"agile framework":29,"data engineering":30,"machine learning":30,"financial services":29,"solution architecture":30,"model development lifecycle":30},[52,44,127,207,208,209,210,211],"Solution Architecture","Model Development Lifecycle","Agile Framework","Financial Services","Insurance",{"id":213,"slug":214,"title":215,"raw_title":11,"is_featured":12,"company":216,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":217,"processed_country_iso_code_gmaps":218,"processed_home_office":20,"processed_salary_min":219,"processed_salary_max":220,"processed_salary_currency":76,"processed_salary_source":24,"processed_working_hours":221,"processed_employment_types":27,"processed_it_skills":222,"processed_it_skills_labels":223,"processed_job_expertise_skills":224,"processed_job_expertise_skills_labels":225,"max_cpc":62,"actual_cpc":62},67213,"staff-software-engineerai-ml-hartford-global-services-private-limited","Staff Software Engineer\u002FAI-ML",{"name":105,"slug":106,"logo_url":11},[108],[110],120000,180000,[26],{"c#":29,"aws":30,"ec2":29,"gcp":30,"sql":29,"hive":29,"java":29,"spark":29,"docker":29,"github":30,"hadoop":29,"python":30,"autosys":29,"jenkins":29,"anaconda":29,"bigquery":29,"redshift":29,"sagemaker":29,"snowflake":29,"streamlit":29,"terraform":29,"kubernetes":29,"tensorflow":29,"scikit-learn":29,"apache airflow":29,"cloudformation":29,"github actions":30},[32,185,186,33,36,187,164,188,189,190,191,192,193,194,195,196,197,198,199,200,201,117,202,203,80,40,204],{"agile":29,"ci\u002Fcd":30,"mlops":30,"data engineering":30,"machine learning":30,"solution architecture":30,"model development lifecycle":30,"data structures and algorithms":30},[52,44,127,207,45,208,226,227],"Agile","Data Structures and Algorithms",{"id":229,"slug":230,"title":231,"raw_title":11,"is_featured":12,"company":232,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":235,"processed_country_iso_code_gmaps":237,"processed_home_office":20,"processed_salary_min":238,"processed_salary_max":239,"processed_salary_currency":113,"processed_salary_source":24,"processed_working_hours":240,"processed_employment_types":27,"processed_it_skills":241,"processed_it_skills_labels":242,"processed_job_expertise_skills":246,"processed_job_expertise_skills_labels":247,"max_cpc":62,"actual_cpc":62},75995,"senior-analyst-manager-avp-transaction-monitoring-tuning-optimization-mufg-global-service-private-limited","Senior Analyst\u002F Manager\u002F AVP- Transaction Monitoring, Tuning & Optimization",{"name":233,"slug":234,"logo_url":11},"MUFG Global Service Private Limited","mufg-global-service-private-limited",[236],"Bangalore",[110],2500000,4000000,[26],{"r":29,"sas":29,"sql":29,"vba":29,"matlab":29,"python":29},[34,32,33,243,244,245],"SAS","Matlab","VBA",{"data analysis":30,"data profiling":29,"decision trees":29,"atl\u002Fbtl testing":29,"neural networks":29,"machine learning":29,"bsa\u002Faml regulations":30,"fuzzy logic matching":29,"quantitative testing":30,"statistical modeling":30,"customer segmentation":30,"financial crime systems":30,"hypergeometric sampling":29,"name similarity matching":29,"ofac sanctions screening":30,"compliance program tuning":30,"aml transaction monitoring":30,"scenario logic documentation":29},[248,125,249,250,251,252,253,254,255,256,257,52,258,259,260,261,262,263],"AML Transaction Monitoring","Data Analysis","Customer Segmentation","Hypergeometric Sampling","ATL\u002FBTL Testing","BSA\u002FAML Regulations","OFAC Sanctions Screening","Compliance Program Tuning","Financial Crime Systems","Quantitative Testing","Neural Networks","Fuzzy Logic Matching","Decision Trees","Name Similarity Matching","Data Profiling","Scenario Logic Documentation",{"id":265,"slug":266,"title":267,"raw_title":11,"is_featured":12,"company":268,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":271,"processed_country_iso_code_gmaps":273,"processed_home_office":20,"processed_salary_min":275,"processed_salary_max":276,"processed_salary_currency":277,"processed_salary_source":24,"processed_working_hours":278,"processed_employment_types":27,"processed_it_skills":279,"processed_it_skills_labels":280,"processed_job_expertise_skills":284,"processed_job_expertise_skills_labels":285,"max_cpc":62,"actual_cpc":62},66819,"research-machine-learning-scientist-the-toronto-dominion-bank-canada","Research Machine Learning Scientist",{"name":269,"slug":270,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[272],"Toronto",[274],"CA",140000,250000,"CAD",[26],{"jax":30,"sql":29,"spark":29,"pytorch":30,"tensorflow":30,"gpu computing":30,"cloud computing (azure\u002Faws)":29},[81,80,281,195,33,282,283],"Jax","GPU computing","Cloud computing (Azure\u002FAWS)",{"research":30,"deep learning":30,"generative ai":30,"machine learning":30,"llm post-training":30,"publication record":30,"reinforcement learning":30,"time series forecasting":30},[52,53,126,286,287,288,289,290],"Time Series Forecasting","Reinforcement Learning","LLM Post-training","Research","Publication Record",{"id":292,"slug":293,"title":294,"raw_title":11,"is_featured":12,"company":295,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":298,"processed_country_iso_code_gmaps":300,"processed_home_office":20,"processed_salary_min":302,"processed_salary_max":74,"processed_salary_currency":303,"processed_salary_source":24,"processed_working_hours":304,"processed_employment_types":27,"processed_it_skills":305,"processed_it_skills_labels":306,"processed_job_expertise_skills":314,"processed_job_expertise_skills_labels":315,"max_cpc":62,"actual_cpc":62},62090,"risk-model-validation-am-ocbc-malaysia","Risk Model Validation - AM",{"name":296,"slug":297,"logo_url":11},"OCBC Malaysia","ocbc-malaysia",[299],"Kuala Lumpur",[301],"MY",60000,"MYR",[26],{"r":29,"sas":29,"sql":29,"pega":47,"spark":29,"hadoop":29,"oracle":29,"python":29,"siebel":47,"tableau":29,"power bi":29,"qlikview":29,"teradata":29},[243,34,195,32,307,308,194,33,309,310,311,312,313],"Oracle","Teradata","Power BI","Tableau","Qlikview","Siebel","Pega",{"aml reporting":29,"data analysis":30,"data management":29,"pdpa statistics":47,"machine learning":29,"data visualization":29,"sales surveillance":29,"thought leadership":29,"compliance analytics":30,"statistical modelling":29,"product\u002Fchannel statistics":47,"suspicious transaction monitoring":29},[61,249,52,51,316,317,318,319,320,321,322,323],"Data Visualization","Compliance Analytics","Sales Surveillance","Suspicious Transaction Monitoring","AML Reporting","PDPA Statistics","Product\u002FChannel Statistics","Thought Leadership",{"id":325,"slug":326,"title":327,"raw_title":11,"is_featured":12,"company":328,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":331,"processed_country_iso_code_gmaps":333,"processed_home_office":20,"processed_salary_min":111,"processed_salary_max":112,"processed_salary_currency":76,"processed_salary_source":24,"processed_working_hours":335,"processed_employment_types":27,"processed_it_skills":336,"processed_it_skills_labels":337,"processed_job_expertise_skills":338,"processed_job_expertise_skills_labels":339,"max_cpc":62,"actual_cpc":62},62910,"am-experience-study-pla-pt-prudential-life-assurance-indonesia","AM - Experience Study",{"name":329,"slug":330,"logo_url":11},"PT Prudential Life Assurance (Indonesia)","pt-prudential-life-assurance-indonesia",[332],"Kota Jakarta Selatan",[334],"ID",[26],{"r":30,"sas":30,"sql":30,"python":30},[33,32,34,243],{"reporting":30,"claims analysis":30,"health analytics":30,"health economics":29,"machine learning":29,"morbidity studies":30,"actuarial concepts":29,"data interpretation":30,"predictive modeling":29,"regulatory knowledge":29,"cost trend evaluation":30,"stakeholder management":30},[340,341,342,343,90,52,344,345,346,347,348,349],"Health Analytics","Claims Analysis","Morbidity Studies","Cost Trend Evaluation","Health Economics","Actuarial Concepts","Regulatory Knowledge","Stakeholder Management","Data Interpretation","Reporting",{"id":351,"slug":352,"title":353,"raw_title":11,"is_featured":12,"company":354,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":357,"processed_country_iso_code_gmaps":359,"processed_home_office":20,"processed_salary_min":361,"processed_salary_max":362,"processed_salary_currency":363,"processed_salary_source":24,"processed_working_hours":364,"processed_employment_types":27,"processed_it_skills":365,"processed_it_skills_labels":366,"processed_job_expertise_skills":374,"processed_job_expertise_skills_labels":375,"max_cpc":62,"actual_cpc":62},59427,"director-application-cloud-azure-architect-lseg-business-services-rm-srl","Director, Application Cloud (Azure) Architect",{"name":355,"slug":356,"logo_url":11},"LSEG Business Services RM S.R.L","lseg-business-services-rm-srl",[358],"București",[360],"RO",150000,220000,"EUR",[26],{"aws":29,"sdlc":29,"azure":30,"ci\u002Fcd":29,"istio":29,"kubernetes":29,"serverless":29,"api gateway":29,"microservices":30,"quality assurance":29,"application security":29},[37,36,202,367,368,45,369,370,371,372,373],"Istio","Serverless","Microservices","API Gateway","SDLC","Application Security","Quality Assurance",{"big data":29,"budgeting":29,"devsecops":30,"data lineage":29,"data analytics":29,"cloud migration":30,"machine learning":29,"vendor management":30,"project management":30,"agile methodologies":30,"product development":29,"technical governance":30,"solution architecture":30,"architecture blueprints":30,"application architecture":30,"business case development":30,"event-driven architecture":29,"high performance computing":29,"service-oriented architecture":30,"legacy application refactoring":30},[376,377,207,378,171,379,380,49,52,381,382,383,384,385,386,387,388,389,390,391],"Cloud Migration","Application Architecture","Technical Governance","Agile Methodologies","DevSecOps","Event-Driven Architecture","High Performance Computing","Big Data","Service-Oriented Architecture","Data Lineage","Budgeting","Project Management","Business Case Development","Architecture Blueprints","Legacy Application Refactoring","Product Development",{"id":393,"slug":394,"title":395,"raw_title":11,"is_featured":12,"company":396,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":399,"processed_country_iso_code_gmaps":401,"processed_home_office":20,"processed_salary_min":74,"processed_salary_max":75,"processed_salary_currency":403,"processed_salary_source":24,"processed_working_hours":404,"processed_employment_types":27,"processed_it_skills":405,"processed_it_skills_labels":406,"processed_job_expertise_skills":409,"processed_job_expertise_skills_labels":410,"max_cpc":62,"actual_cpc":62},52787,"data-science-manager-14101-arch-europe-insurance-services-ltd","Data Science Manager",{"name":397,"slug":398,"logo_url":11},"Arch Europe Insurance Services Ltd","arch-europe-insurance-services-ltd",[400],"London",[402],"GB","GBP",[26],{"sql":30,"azure":29,"python":30,"powerbi":29,"snowflake":29,"databricks":29},[32,33,407,408,198,37],"PowerBI","Databricks",{"gbm":30,"glm":30,"data mining":30,"machine learning":30,"project management":29,"predictive modeling":30,"london market experience":30,"natural language processing":30,"insurance industry knowledge":30},[90,52,85,168,169,411,387,412,413],"Data Mining","Insurance Industry Knowledge","London Market Experience",{"id":415,"slug":416,"title":417,"raw_title":11,"is_featured":12,"company":418,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":419,"processed_country_iso_code_gmaps":420,"processed_home_office":421,"processed_salary_min":422,"processed_salary_max":423,"processed_salary_currency":113,"processed_salary_source":24,"processed_working_hours":424,"processed_employment_types":27,"processed_it_skills":425,"processed_it_skills_labels":426,"processed_job_expertise_skills":447,"processed_job_expertise_skills_labels":448,"max_cpc":62,"actual_cpc":62},51724,"ind-staff-software-engineer-hartford-global-services-private-limited-3","IND Staff Software Engineer",{"name":105,"slug":106,"logo_url":11},[108],[110],"hybrid",3000000,5000000,[26],{"s3":29,"a2a":30,"adk":30,"emr":29,"mcp":30,"glue":29,"ci\u002Fcd":29,"nexus":29,"numpy":30,"crewai":30,"docker":29,"github":29,"pandas":30,"python":30,"airflow":29,"fastapi":30,"pytorch":30,"mcp-scan":29,"pydantic":30,"redshift":29,"checkmarx":29,"langchain":30,"langgraph":30,"snowflake":29,"sonarqube":29,"terraform":29,"kubernetes":29,"aws bedrock":30,"hugging face":30,"aws sagemaker":30,"opentelemetry":29,"apache iceberg":29,"google vertex ai":30},[32,81,427,38,39,428,429,430,190,192,119,431,432,121,433,434,435,436,437,117,202,45,438,439,440,441,198,442,443,444,445,197,446],"Hugging Face","FastAPI","Pydantic","OpenTelemetry","AWS Bedrock","Google Vertex AI","LangGraph","CrewAI","ADK","A2A","MCP","Nexus","SonarQube","Checkmarx","mcp-scan","Airflow","S3","Glue","EMR","Apache Iceberg",{"hyde":30,"safe":30,"mlops":30,"devops":30,"raptor":30,"pub\u002Fsub":30,"graphrag":30,"devsecops":30,"agentic ai":30,"agentic rag":30,"rag systems":30,"generative ai":30,"data pipelines":29,"bias mitigation":29,"drift monitoring":30,"llm architecture":30,"machine learning":30,"model evaluation":30,"adaptive prompting":30,"agile methodologies":30,"context engineering":30,"distributed systems":30,"counterfactual testing":29,"infrastructure as code":30,"multi-agent coordination":30,"disparate impact analysis":29,"event-driven architecture":30,"point-to-point architecture":30},[52,44,449,126,450,451,452,453,454,455,456,457,458,128,459,460,381,461,462,463,380,464,379,465,466,467,468,469],"LLM Architecture","Agentic AI","RAG Systems","Agentic RAG","Context Engineering","Adaptive Prompting","Multi-Agent Coordination","HyDE","RAPTOR","GraphRAG","Drift Monitoring","Distributed Systems","Pub\u002FSub","Point-to-Point Architecture","DevOps","Infrastructure as Code","SAFe","Data Pipelines","Bias Mitigation","Disparate Impact Analysis","Counterfactual Testing",{"id":471,"slug":472,"title":473,"raw_title":11,"is_featured":12,"company":474,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":477,"processed_country_iso_code_gmaps":479,"processed_home_office":421,"processed_salary_min":302,"processed_salary_max":74,"processed_salary_currency":363,"processed_salary_source":24,"processed_working_hours":481,"processed_employment_types":27,"processed_it_skills":482,"processed_it_skills_labels":483,"processed_job_expertise_skills":486,"processed_job_expertise_skills_labels":487,"max_cpc":62,"actual_cpc":62},84465,"senior-data-scientist-flexhub-coba-nearshoring-sofia-bg","(Senior) Data Scientist (flexhub)",{"name":475,"slug":476,"logo_url":11},"CoBa Nearshoring Sofia BG","coba-nearshoring-sofia-bg",[478],"Sofia",[480],"BG",[26],{"spark":47,"hadoop":47,"ms sql":29,"python":30,"splunk":47},[32,484,194,195,485],"MS SQL","Splunk",{"ethical ai":29,"back-testing":29,"rag databases":29,"data pipelines":29,"data governance":29,"cross-validation":29,"machine learning":30,"model deployment":29,"prompt engineering":29,"ai agent orchestration":29},[52,87,488,489,466,490,491,492,493,494],"RAG Databases","AI Agent Orchestration","Model Deployment","Cross-validation","Back-testing","Data Governance","Ethical AI",{"id":496,"slug":497,"title":498,"raw_title":11,"is_featured":12,"company":499,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":502,"processed_country_iso_code_gmaps":503,"processed_home_office":20,"processed_salary_min":302,"processed_salary_max":74,"processed_salary_currency":76,"processed_salary_source":24,"processed_working_hours":504,"processed_employment_types":27,"processed_it_skills":505,"processed_it_skills_labels":506,"processed_job_expertise_skills":508,"processed_job_expertise_skills_labels":509,"max_cpc":62,"actual_cpc":62},59939,"data-scientist-phl006-refinitiv-asia-pte-ltd-philippine-branch","Data Scientist",{"name":500,"slug":501,"logo_url":11},"Refinitiv Asia Pte. Ltd. Philippine Branch","refinitiv-asia-pte-ltd-philippine-branch",[140],[142],[26],{"r":29,"sql":30,"python":30,"power bi":29,"power automate":47},[32,34,33,309,507],"Power Automate",{"algorithms":30,"automation":29,"statistics":30,"data analysis":30,"data wrangling":30,"machine learning":30,"metrics creation":29,"business understanding":30,"artificial intelligence ethics":29},[249,510,511,52,512,513,514,515,516],"Data Wrangling","Statistics","Algorithms","Business Understanding","Automation","Metrics Creation","Artificial Intelligence Ethics",{"id":518,"slug":519,"title":520,"raw_title":11,"is_featured":12,"company":521,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":524,"processed_country_iso_code_gmaps":526,"processed_home_office":20,"processed_salary_min":302,"processed_salary_max":74,"processed_salary_currency":145,"processed_salary_source":24,"processed_working_hours":527,"processed_employment_types":27,"processed_it_skills":528,"processed_it_skills_labels":529,"processed_job_expertise_skills":533,"processed_job_expertise_skills_labels":534,"max_cpc":62,"actual_cpc":62},63099,"data-analytics-expert-pluk-pru-life-of-uk-philippines","Data Analytics Expert",{"name":522,"slug":523,"logo_url":11},"PRU LIFE of U.K. (Philippines)","pru-life-of-uk-philippines",[525],"Makati City",[142],[26],{"r":29,"dax":29,"python":29,"powerbi":30,"powerpoint":47,"microsoft excel":29},[530,531,407,32,34,532],"Microsoft Excel","PowerPoint","DAX",{"data mining":29,"risk analysis":29,"data governance":47,"design thinking":47,"machine learning":47,"linear regression":29,"data visualization":30,"hypothesis testing":29,"predictive analytics":30,"descriptive analytics":30,"prescriptive analytics":29},[535,536,537,538,539,52,316,411,540,541,493],"Descriptive Analytics","Predictive Analytics","Prescriptive Analytics","Hypothesis Testing","Linear Regression","Risk Analysis","Design Thinking",{"id":543,"slug":544,"title":545,"raw_title":11,"is_featured":12,"company":546,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":549,"processed_country_iso_code_gmaps":551,"processed_home_office":20,"processed_salary_min":553,"processed_salary_max":554,"processed_salary_currency":76,"processed_salary_source":24,"processed_working_hours":555,"processed_employment_types":27,"processed_it_skills":556,"processed_it_skills_labels":557,"processed_job_expertise_skills":559,"processed_job_expertise_skills_labels":560,"max_cpc":62,"actual_cpc":62},53413,"principal-structured-crebpl-resi-desk-strat-apollo-management-holdings-lp","Principal, Structured CRE\u002FBPL Resi Desk Strat",{"name":547,"slug":548,"logo_url":11},"Apollo Management Holdings, L.P.","apollo-management-holdings-lp",[550],"Los Angeles",[552],"US",300000,400000,[26],{"c#":29,"sql":29,"matlab":29,"python":30},[32,33,558,186],"MATLAB",{"data analysis":30,"securitization":30,"risk assessment":30,"deal structuring":30,"machine learning":29,"cash flow modeling":30,"structured finance":30,"portfolio management":29,"artificial intelligence":29},[561,562,563,564,565,52,566,567,249],"Cash Flow Modeling","Structured Finance","Securitization","Risk Assessment","Deal Structuring","Artificial Intelligence","Portfolio Management",{"id":569,"slug":570,"title":571,"raw_title":11,"is_featured":12,"company":572,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":573,"processed_country_iso_code_gmaps":574,"processed_home_office":20,"processed_salary_min":219,"processed_salary_max":276,"processed_salary_currency":277,"processed_salary_source":24,"processed_working_hours":575,"processed_employment_types":27,"processed_it_skills":576,"processed_it_skills_labels":577,"processed_job_expertise_skills":580,"processed_job_expertise_skills_labels":581,"max_cpc":62,"actual_cpc":62},66788,"machine-learning-engineer-the-toronto-dominion-bank-canada","Machine Learning Engineer",{"name":269,"slug":270,"logo_url":11},[272],[274],[26],{"c":29,"c++":29,"jax":29,"java":29,"python":30,"pytorch":29,"langgraph":29,"tensorflow":29,"gpu computing":29},[32,185,578,579,81,80,281,433,282],"C","C++",{"research":29,"deep learning":30,"data engineering":29,"machine learning":30,"system architecture":30,"software engineering":30},[52,53,582,583,127,289],"Software Engineering","System Architecture",{"id":585,"slug":586,"title":587,"raw_title":11,"is_featured":12,"company":588,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":591,"processed_country_iso_code_gmaps":593,"processed_home_office":421,"processed_salary_min":144,"processed_salary_max":595,"processed_salary_currency":363,"processed_salary_source":24,"processed_working_hours":596,"processed_employment_types":27,"processed_it_skills":597,"processed_it_skills_labels":598,"processed_job_expertise_skills":602,"processed_job_expertise_skills_labels":603,"max_cpc":62,"actual_cpc":613},76664,"senior-credit-risk-modellerroma-prometeia-spa","Senior Credit Risk Modeller_ROMA",{"name":589,"slug":590,"logo_url":11},"Prometeia SpA","prometeia-spa",[592],"Rom",[594],"IT",65000,[26],{"sas":29,"spss":29,"stata":29,"python":29,"ms office":47},[32,243,599,600,601],"Stata","SPSS","MS Office",{"ead models":30,"lgd models":30,"econometrics":29,"rating models":30,"stress testing":30,"var credit risk":30,"machine learning":29,"portfolio models":30,"advanced analytics":29,"credit risk modeling":30},[604,605,606,607,608,609,610,611,52,612],"Credit Risk Modeling","Rating Models","LGD Models","EAD Models","Stress Testing","Portfolio Models","VaR Credit Risk","Advanced Analytics","Econometrics",0.5,{"industry":615,"employment_type":693,"expertise_skills":704,"it_skills":774,"salary_currency":842,"processed_working_hours":867},[616,619,622,626,630,634,638,642,645,648,651,654,657,660,663,666,669,672,675,678,681,684,687,690],{"key":617,"label":211,"count":618},"insurance",89,{"key":620,"label":210,"count":621},"financial services",79,{"key":623,"label":624,"count":625},"banking","Banking",56,{"key":627,"label":628,"count":629},"financial markets infrastructure","Financial Markets Infrastructure",19,{"key":631,"label":632,"count":633},"data","Data",11,{"key":635,"label":636,"count":637},"data provider","Data Provider",8,{"key":639,"label":640,"count":641},"asset management","Asset Management",7,{"key":643,"label":644,"count":29},"wealth management","Wealth Management",{"key":646,"label":647,"count":47},"risk management","Risk Management",{"key":649,"label":650,"count":47},"private equity","Private Equity",{"key":652,"label":653,"count":62},"fund administration","Fund Administration",{"key":655,"label":656,"count":62},"middle office","Middle Office",{"key":658,"label":659,"count":62},"financial regulation","Financial Regulation",{"key":661,"label":662,"count":62},"credit union","Credit Union",{"key":664,"label":665,"count":62},"digital banking","Digital Banking",{"key":667,"label":668,"count":62},"financial risk management","Financial Risk Management",{"key":670,"label":671,"count":62},"asset management solutions","Asset Management Solutions",{"key":673,"label":674,"count":62},"alternative asset management","Alternative Asset Management",{"key":676,"label":677,"count":62},"claims administration","Claims Administration",{"key":679,"label":680,"count":62},"reinsurance","Reinsurance",{"key":682,"label":683,"count":62},"management","Management",{"key":685,"label":686,"count":62},"technology services for financial institutions","Technology Services For Financial Institutions",{"key":688,"label":689,"count":62},"risk","Risk",{"key":691,"label":692,"count":62},"wealth management solutions","Wealth Management Solutions",[694,697,701],{"key":27,"label":695,"count":696},"PERMANENT",198,{"key":698,"label":699,"count":700},"student","STUDENT",13,{"key":702,"label":703,"count":47},"contract","CONTRACT",[705,707,711,714,717,720,723,726,728,731,734,737,739,742,745,748,751,754,756,760,763,766,768,771],{"key":706,"label":52,"slug":706,"count":5},"machine-learning",{"key":708,"label":709,"slug":708,"count":710},"generative-ai","Generative Ai",45,{"key":712,"label":249,"slug":712,"count":713},"data-analysis",42,{"key":715,"label":84,"slug":715,"count":716},"data-science",41,{"key":718,"label":53,"slug":718,"count":719},"deep-learning",37,{"key":721,"label":127,"slug":721,"count":722},"data-engineering",34,{"key":724,"label":316,"slug":724,"count":725},"data-visualization",31,{"key":727,"label":125,"slug":727,"count":725},"statistical-modeling",{"key":729,"label":90,"slug":729,"count":730},"predictive-modeling",30,{"key":732,"label":493,"slug":732,"count":733},"data-governance",29,{"key":735,"label":490,"slug":735,"count":736},"model-deployment",27,{"key":738,"label":50,"slug":738,"count":736},"feature-engineering",{"key":740,"label":173,"slug":740,"count":741},"model-monitoring",26,{"key":743,"label":87,"slug":743,"count":744},"prompt-engineering",25,{"key":746,"label":747,"slug":746,"count":744},"project-management","Project management",{"key":749,"label":128,"slug":749,"count":750},"model-evaluation",23,{"key":752,"label":49,"slug":752,"count":753},"data-analytics",21,{"key":755,"label":511,"slug":755,"count":753},"statistics",{"key":757,"label":758,"slug":757,"count":759},"responsible-ai","Responsible Ai",20,{"key":761,"label":762,"slug":761,"count":759},"model-governance","Model Governance",{"key":764,"label":765,"slug":764,"count":759},"mlops","Mlops",{"key":767,"label":566,"slug":767,"count":759},"artificial-intelligence",{"key":769,"label":770,"slug":769,"count":629},"model-validation","Model Validation",{"key":772,"label":773,"slug":772,"count":629},"agentic-ai","Agentic Ai",[775,778,781,785,789,793,796,800,803,807,810,812,814,817,820,822,824,827,829,832,834,836,839,841],{"key":776,"label":32,"slug":776,"count":777},"python",205,{"key":779,"label":33,"slug":779,"count":780},"sql",145,{"key":782,"label":783,"slug":782,"count":784},"aws","Aws",63,{"key":786,"label":787,"slug":786,"count":788},"scikit-learn","Scikit-Learn",55,{"key":790,"label":791,"slug":790,"count":792},"pytorch","Pytorch",53,{"key":794,"label":795,"slug":794,"count":792},"tensorflow","Tensorflow",{"key":797,"label":798,"slug":797,"count":799},"ms-azure","MS Azure",49,{"key":801,"label":34,"slug":801,"count":802},"r",47,{"key":804,"label":805,"slug":804,"count":806},"cicd","Ci\u002FCd",39,{"key":808,"label":35,"slug":808,"count":809},"git",35,{"key":811,"label":408,"slug":811,"count":809},"databricks",{"key":813,"label":38,"slug":813,"count":725},"pandas",{"key":815,"label":816,"slug":815,"count":730},"ms-powerbi","MS PowerBI",{"key":818,"label":819,"slug":818,"count":736},"sas","Sas",{"key":821,"label":195,"slug":821,"count":736},"spark",{"key":823,"label":117,"slug":823,"count":741},"docker",{"key":825,"label":826,"slug":825,"count":744},"langchain","Langchain",{"key":828,"label":185,"slug":828,"count":744},"java",{"key":830,"label":831,"slug":830,"count":744},"numpy","Numpy",{"key":833,"label":202,"slug":833,"count":744},"kubernetes",{"key":835,"label":310,"slug":835,"count":753},"tableau",{"key":837,"label":838,"slug":837,"count":759},"pyspark","Pyspark",{"key":840,"label":198,"slug":840,"count":629},"snowflake",{"key":764,"label":765,"slug":764,"count":629},[843,845,846,848,850,851,853,854,856,857,859,861,863,865],{"key":76,"label":76,"count":844},70,{"key":363,"label":363,"count":809},{"key":847,"label":847,"count":744},"SGD",{"key":277,"label":277,"count":849},24,{"key":113,"label":113,"count":629},{"key":403,"label":403,"count":852},14,{"key":303,"label":303,"count":637},{"key":145,"label":145,"count":855},5,{"key":23,"label":23,"count":30},{"key":858,"label":858,"count":29},"HKD",{"key":860,"label":860,"count":29},"CNY",{"key":862,"label":862,"count":47},"BRL",{"key":864,"label":864,"count":62},"ARS",{"key":866,"label":866,"count":62},"TRY",[868,870],{"key":26,"label":26,"count":869},210,{"key":871,"label":871,"count":855},"PART_TIME",{"total":62,"jobs":873},[]]