[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-machine-learning-global":3,"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Fmachine-learning?page=7":4,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Fmachine-learning?page=7":654,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Fmachine-learning?page=7":919},{},{"total":5,"jobs":6},210,[7,61,94,137,170,189,219,260,297,337,359,386,407,451,487,505,536,566,602,623],{"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":70,"processed_home_office":72,"processed_salary_min":73,"processed_salary_max":74,"processed_salary_currency":75,"processed_salary_source":24,"processed_working_hours":76,"processed_employment_types":27,"processed_it_skills":77,"processed_it_skills_labels":78,"processed_job_expertise_skills":79,"processed_job_expertise_skills_labels":80,"max_cpc":60,"actual_cpc":60},68771,"data-scientist-auto-owners-insurance-company","Data Scientist",{"name":66,"slug":67,"logo_url":11},"Auto-Owners Insurance Company","auto-owners-insurance-company",[69],"Lansing",[71],"US","hybrid",90000,130000,"USD",[26],{"r":30,"sql":30,"keras":30,"python":30,"tensorflow":30,"scikit-learn":30},[32,34,33,38,39,37],{"clustering":29,"regression":29,"data analysis":29,"deep learning":29,"classification":29,"decision trees":29,"machine learning":29,"model monitoring":30,"gradient boosting":29,"data visualization":30,"feature engineering":29,"model documentation":30,"statistical modeling":29},[81,82,83,84,85,86,87,88,89,90,91,92,93],"Statistical modeling","Machine learning","Data analysis","Model documentation","Model monitoring","Feature engineering","Classification","Regression","Clustering","Decision trees","Gradient boosting","Deep learning","Data visualization",{"id":95,"slug":96,"title":97,"raw_title":11,"is_featured":12,"company":98,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":101,"processed_country_iso_code_gmaps":103,"processed_home_office":72,"processed_salary_min":104,"processed_salary_max":105,"processed_salary_currency":75,"processed_salary_source":24,"processed_working_hours":106,"processed_employment_types":27,"processed_it_skills":107,"processed_it_skills_labels":109,"processed_job_expertise_skills":126,"processed_job_expertise_skills_labels":127,"max_cpc":60,"actual_cpc":60},88426,"data-engineer-i-aws-databricks-travelers-indemnity-co","Data Engineer I (AWS, Databricks)",{"name":99,"slug":100,"logo_url":11},"Travelers Indemnity Co","travelers-indemnity-co",[102],"Hartford",[71],109300,180200,[26],{"aws":29,"sql":30,"jira":30,"snyk":108,"ci\u002Fcd":30,"athena":30,"github":30,"python":30,"autosys":108,"dynamodb":30,"autoloader":30,"aws lambda":30,"databricks":29,"servicenow":108,"unity catalog":30,"github copilot":108,"aws eventbridge":30,"aws step functions":30},2,[110,111,33,32,112,113,114,115,116,117,118,119,120,121,122,123,124,125],"AWS","Databricks","GitHub","Jira","CI\u002FCD","DynamoDB","Athena","AWS Lambda","AWS Step Functions","AWS EventBridge","Unity Catalog","Autoloader","GitHub Copilot","Snyk","ServiceNow","Autosys",{"devops":30,"ai tools":108,"data quality":30,"data analysis":30,"data security":30,"data pipelines":29,"data governance":30,"data engineering":29,"machine learning":108,"software engineering":30},[128,129,130,131,132,133,134,135,136,46],"Data Engineering","Data Pipelines","Data Governance","Data Security","Data Quality","Data Analysis","Software Engineering","DevOps","AI Tools",{"id":138,"slug":139,"title":140,"raw_title":11,"is_featured":12,"company":141,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":144,"processed_country_iso_code_gmaps":146,"processed_home_office":72,"processed_salary_min":147,"processed_salary_max":148,"processed_salary_currency":75,"processed_salary_source":24,"processed_working_hours":149,"processed_employment_types":27,"processed_it_skills":150,"processed_it_skills_labels":151,"processed_job_expertise_skills":161,"processed_job_expertise_skills_labels":162,"max_cpc":60,"actual_cpc":60},74759,"senior-data-scientist-merastar-insurance-company","Senior Data Scientist",{"name":142,"slug":143,"logo_url":11},"Merastar Insurance Company","merastar-insurance-company",[145],"Alpharetta",[71],104300,173300,[26],{"aws":30,"git":30,"sql":29,"azure":30,"mlops":30,"numpy":29,"scipy":29,"gitlab":30,"pandas":29,"python":29,"databricks":30,"scikit-learn":29,"visualization libraries":29},[33,32,152,153,154,155,156,157,158,110,159,111,160],"pandas","NumPy","scikit-learn","SciPy","visualization libraries","Git","GitLab","Azure","MLOps",{"pricing":30,"data analysis":29,"risk modeling":30,"machine learning":29,"model deployment":30,"model validation":29,"feature engineering":29,"predictive modeling":29,"statistical modeling":29,"performance monitoring":30,"insurance industry knowledge":30},[81,82,163,164,86,83,165,166,167,168,169],"Predictive modeling","Model validation","Insurance industry knowledge","Pricing","Risk modeling","Model deployment","Performance monitoring",{"id":171,"slug":172,"title":173,"raw_title":11,"is_featured":12,"company":174,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":175,"processed_country_iso_code_gmaps":176,"processed_home_office":72,"processed_salary_min":177,"processed_salary_max":21,"processed_salary_currency":75,"processed_salary_source":24,"processed_working_hours":178,"processed_employment_types":27,"processed_it_skills":179,"processed_it_skills_labels":180,"processed_job_expertise_skills":181,"processed_job_expertise_skills_labels":182,"max_cpc":60,"actual_cpc":60},68797,"predictive-modeler-auto-owners-insurance-company","Predictive Modeler",{"name":66,"slug":67,"logo_url":11},[],[],80000,[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},[183,46,45,89,88,87,184,185,56,186,187,188],"Statistical Modeling","Large Data Sets","Ad-hoc Analysis","Model Documentation","Model Monitoring","Regulatory Compliance",{"id":190,"slug":191,"title":192,"raw_title":11,"is_featured":12,"company":193,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":196,"processed_country_iso_code_gmaps":197,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":198,"processed_employment_types":27,"processed_it_skills":199,"processed_it_skills_labels":200,"processed_job_expertise_skills":205,"processed_job_expertise_skills_labels":206,"max_cpc":60,"actual_cpc":60},76431,"avp-business-analyst-legal-compliance-ocbc-bank","AVP, Business Analyst (Legal & Compliance)",{"name":194,"slug":195,"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},[201,202,203,32,33,204],"SAI NetReveal","Oracle FCCM","SAS-FMS","Data Analysis Tools",{"sdlc":29,"anti-fraud":29,"agile\u002Fscrum":29,"data science":108,"risk scoring":29,"data analysis":29,"machine learning":108,"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},[207,208,209,133,210,211,212,213,214,215,216,217,218,46,45],"Business Analysis","Requirements Gathering","Process Modelling","FCC (Financial Crime Compliance)","KYC (Know Your Customer)","Anti-Fraud","Transaction Monitoring","Customer Due Diligence (CDD)","Risk Scoring","Agile\u002FScrum","SDLC","Project Management",{"id":220,"slug":221,"title":222,"raw_title":11,"is_featured":12,"company":223,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":226,"processed_country_iso_code_gmaps":228,"processed_home_office":20,"processed_salary_min":22,"processed_salary_max":230,"processed_salary_currency":231,"processed_salary_source":24,"processed_working_hours":232,"processed_employment_types":27,"processed_it_skills":233,"processed_it_skills_labels":234,"processed_job_expertise_skills":236,"processed_job_expertise_skills_labels":237,"max_cpc":60,"actual_cpc":60},72875,"lead-data-scientist-ecl-modelling-gx-bank-berhad","Lead Data Scientist (ECL Modelling)",{"name":224,"slug":225,"logo_url":11},"GX Bank Berhad","gx-bank-berhad",[227],"Petaling Jaya",[229],"MY",300000,"MYR",[26],{"aws":30,"git":30,"sql":29,"ci\u002Fcd":30,"numpy":29,"pandas":29,"python":29,"statsmodels":29,"scikit-learn":29},[33,32,152,153,154,235,157,114,110],"statsmodels",{"irb models":30,"stress testing":29,"machine learning":30,"model deployment":30,"model governance":29,"model validation":29,"recovery analysis":29,"survival analysis":29,"capital management":30,"logistic regression":29,"portfolio analytics":29,"transition matrices":29,"ifrs 9 ecl modelling":29,"mfrs 9 ecl modelling":29,"model implementation":29,"time-series analysis":29,"credit risk modelling":29,"regulatory compliance":29,"statistical modelling":29,"credit risk scorecards":29,"macroeconomic modelling":29,"basel credit risk models":30,"loss given default (lgd) modelling":29,"exposure at default (ead) modelling":29,"probability of default (pd) modelling":29},[238,239,240,241,242,243,244,245,246,247,53,188,248,46,249,250,251,252,253,254,255,256,257,258,259],"Credit Risk Modelling","MFRS 9 ECL Modelling","IFRS 9 ECL Modelling","Probability of Default (PD) Modelling","Loss Given Default (LGD) Modelling","Exposure at Default (EAD) Modelling","Credit Risk Scorecards","Portfolio Analytics","Model Implementation","Model Validation","Statistical Modelling","Logistic Regression","Survival Analysis","Transition Matrices","Time-Series Analysis","Macroeconomic Modelling","Recovery Analysis","Stress Testing","Capital Management","Basel Credit Risk Models","IRB Models","Model Deployment",{"id":261,"slug":262,"title":263,"raw_title":11,"is_featured":12,"company":264,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":267,"processed_country_iso_code_gmaps":269,"processed_home_office":72,"processed_salary_min":270,"processed_salary_max":271,"processed_salary_currency":75,"processed_salary_source":24,"processed_working_hours":272,"processed_employment_types":27,"processed_it_skills":273,"processed_it_skills_labels":274,"processed_job_expertise_skills":281,"processed_job_expertise_skills_labels":282,"max_cpc":60,"actual_cpc":60},79049,"manager-modeling-transamerica","Manager, Modeling",{"name":265,"slug":266,"logo_url":11},"Transamerica","transamerica",[268],"Baltimore",[71],136000,165000,[26],{"c++":29,"vba":29,"alfa":29,"axis":29,"moses":29,"python":29,"database design":30},[33,275,276,277,278,279,280],"C++","VBA","AXIS","ALFA","MoSes","Database Design",{"data analysis":29,"risk management":29,"machine learning":29,"model validation":29,"actuarial modeling":29,"cash flow modeling":29,"financial modeling":29,"financial reporting":29,"investment concepts":29,"predictive modeling":29,"derivatives modeling":29,"liquidity management":29,"statistical analysis":29,"hedge program analysis":29,"artificial intelligence":29,"asset liability management":29,"insurance product knowledge":29},[283,284,285,286,287,288,289,290,291,46,292,133,247,293,294,295,296],"Actuarial Modeling","Financial Modeling","Risk Management","Asset Liability Management","Derivatives Modeling","Insurance Product Knowledge","Investment Concepts","Statistical Analysis","Predictive Modeling","Artificial Intelligence","Cash Flow Modeling","Liquidity Management","Hedge Program Analysis","Financial Reporting",{"id":298,"slug":299,"title":300,"raw_title":11,"is_featured":12,"company":301,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":304,"processed_country_iso_code_gmaps":306,"processed_home_office":72,"processed_salary_min":308,"processed_salary_max":309,"processed_salary_currency":310,"processed_salary_source":24,"processed_working_hours":311,"processed_employment_types":27,"processed_it_skills":312,"processed_it_skills_labels":313,"processed_job_expertise_skills":319,"processed_job_expertise_skills_labels":320,"max_cpc":60,"actual_cpc":60},72196,"business-management-analyst-as-9608-deutsche-india-private-limited-mumbai-branch","Business Management Analyst, AS",{"name":302,"slug":303,"logo_url":11},"9608 Deutsche India Private Limited, Mumbai Branch","9608-deutsche-india-private-limited-mumbai-branch",[305],"Mumbai",[307],"IN",2000000,3500000,"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},[33,32,314,315,316,41,42,317,276,318],"CSS","HTML","Scripting","Excel","AI-powered productivity tools (e.g., Copilot, GenAI platforms)",{"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},[292,46,45,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336],"Advanced Analytics","Data modelling","Predictive analytics","Workflow automation","Intelligent decision-support solutions","Process analysis","Process redesign","Capability mapping","Delivery of complex change or transformation initiatives","Business case development","Benefit analysis","Project reporting","Documentation","User training","Knowledge sharing","Continuous improvement",{"id":338,"slug":339,"title":340,"raw_title":11,"is_featured":12,"company":341,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":344,"processed_country_iso_code_gmaps":346,"processed_home_office":72,"processed_salary_min":177,"processed_salary_max":348,"processed_salary_currency":75,"processed_salary_source":24,"processed_working_hours":349,"processed_employment_types":27,"processed_it_skills":350,"processed_it_skills_labels":351,"processed_job_expertise_skills":352,"processed_job_expertise_skills_labels":353,"max_cpc":60,"actual_cpc":60},69086,"data-scientist-junior-to-senior-levels-pooling-arch-group","Data Scientist (Junior to Senior Levels) - Pooling",{"name":342,"slug":343,"logo_url":11},"Arch Group","arch-group",[345],"Manila",[347],"PH",150000,[26],{"r":30,"sql":30,"python":30,"tableau":30,"power bi":30},[33,32,34,42,41],{"data mining":29,"data governance":30,"experimentation":29,"machine learning":29,"data visualization":29,"predictive modeling":29,"statistical analysis":29,"business intelligence":29,"quantitative analysis":29,"data quality management":30},[290,46,291,354,355,56,356,357,130,358],"Data Mining","Business Intelligence","Quantitative Analysis","Experimentation","Data Quality Management",{"id":360,"slug":361,"title":362,"raw_title":11,"is_featured":12,"company":363,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":364,"processed_country_iso_code_gmaps":365,"processed_home_office":72,"processed_salary_min":366,"processed_salary_max":367,"processed_salary_currency":310,"processed_salary_source":24,"processed_working_hours":368,"processed_employment_types":27,"processed_it_skills":369,"processed_it_skills_labels":370,"processed_job_expertise_skills":371,"processed_job_expertise_skills_labels":372,"max_cpc":60,"actual_cpc":60},72198,"business-management-analyst-avp-9608-deutsche-india-private-limited-mumbai-branch","Business Management Analyst, AVP",{"name":302,"slug":303,"logo_url":11},[305],[307],3000000,5000000,[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},[33,32,314,315,316,41,42,317,276,318],{"pmp":108,"agile":108,"scrum":108,"controls":30,"data science":29,"data modelling":30,"lean six sigma":108,"process mining":108,"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},[292,46,45,321,373,322,323,324,325,326,374,327,328,375,376,377,378,379,380,381,382,383,384,385],"Project execution","Operating model design","Automation delivery","Transformation initiatives","Banking products","Private Bank processes","Operational risk","Controls","Lean Six Sigma","Agile","Scrum","PMP","Process Mining",{"id":387,"slug":388,"title":389,"raw_title":11,"is_featured":12,"company":390,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":393,"processed_country_iso_code_gmaps":394,"processed_home_office":20,"processed_salary_min":395,"processed_salary_max":396,"processed_salary_currency":397,"processed_salary_source":24,"processed_working_hours":398,"processed_employment_types":27,"processed_it_skills":399,"processed_it_skills_labels":400,"processed_job_expertise_skills":401,"processed_job_expertise_skills_labels":402,"max_cpc":60,"actual_cpc":60},69078,"catastrophe-modeling-analyst-arch-global-services-philippines-inc","Catastrophe Modeling Analyst",{"name":391,"slug":392,"logo_url":11},"Arch Global Services (Philippines) Inc.","arch-global-services-philippines-inc",[345],[347],600000,900000,"PHP",[26],{"r":108,"sql":30,"excel":108,"python":30,"power bi":108},[317,33,32,34,41],{"data analysis":30,"data engineering":108,"machine learning":30,"report automation":108,"data visualization":108,"catastrophe modeling":30,"insurance terminology":108,"reinsurance knowledge":108},[403,404,405,46,133,56,128,406],"Catastrophe Modeling","Reinsurance Knowledge","Insurance Terminology","Report Automation",{"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":415,"processed_home_office":72,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":75,"processed_salary_source":24,"processed_working_hours":416,"processed_employment_types":27,"processed_it_skills":417,"processed_it_skills_labels":418,"processed_job_expertise_skills":438,"processed_job_expertise_skills_labels":439,"max_cpc":60,"actual_cpc":60},77994,"data-engineer-sedgwick-claims-management-services-inc","Data Engineer",{"name":412,"slug":413,"logo_url":11},"Sedgwick Claims Management Services Inc.","sedgwick-claims-management-services-inc",[],[71],[26],{"aws":29,"db2":30,"iam":30,"sql":29,"azure":29,"aws s3":29,"docker":29,"python":29,"airflow":29,"etl\u002Felt":29,"pyspark":29,"aws glue":29,"snowpipe":29,"mainframe":30,"snowflake":29,"aws lambda":29,"sql server":29,"privatelink":30,"azure synapse":29,"data modeling":29,"vector databases":29,"firewall controls":30,"aws step functions":29,"azure data factory":29,"network segmentation":30},[419,110,159,33,32,420,421,422,118,423,424,425,426,427,428,429,117,430,431,432,433,434,435,436,437],"Snowflake","PySpark","Docker","Airflow","Azure Data Factory","ETL\u002FELT","Data Modeling","Vector Databases","Snowpipe","AWS S3","AWS Glue","Azure Synapse","Mainframe","DB2","SQL Server","IAM","PrivateLink","Network Segmentation","Firewall Controls",{"rag systems":29,"data quality":29,"generative ai":29,"orchestration":29,"vectorization":29,"data pipelines":29,"data governance":29,"containerization":29,"data engineering":29,"machine learning":29,"cost optimization":29,"cloud architecture":29,"data observability":29,"embedding pipelines":29,"feature engineering":29,"legacy system integration":29},[128,46,440,441,129,130,132,442,443,444,445,446,447,448,449,450],"Generative AI","Feature Engineering","Data Observability","Cost Optimization","Cloud Architecture","Legacy System Integration","Orchestration","Containerization","Vectorization","Embedding Pipelines","RAG Systems",{"id":452,"slug":453,"title":454,"raw_title":11,"is_featured":12,"company":455,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":456,"processed_country_iso_code_gmaps":457,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":458,"processed_employment_types":27,"processed_it_skills":459,"processed_it_skills_labels":460,"processed_job_expertise_skills":474,"processed_job_expertise_skills_labels":475,"max_cpc":60,"actual_cpc":60},68049,"vp-system-analyst-data-group-technology-amp-ops-1011-united-overseas-bank-ltd","VP, System Analyst (Data), Group Technology & Ops",{"name":14,"slug":15,"logo_url":11},[17],[19],[26],{"sql":29,"hive":30,"numpy":29,"spark":29,"pandas":29,"python":29,"power bi":30,"qliksense":30,"snowflake":29,"databricks":29,"delta lake":29,"apache hudi":30,"azure fabric":29,"trino\u002Fpresto":30,"apache iceberg":29,"google bigquery":29,"informatica bdm":30,"informatica idq":30,"informatica powercenter":30,"informatica enterprise data catalogue":30},[32,33,111,419,461,462,463,464,465,466,467,468,41,469,470,471,472,473,36,153],"Azure Fabric","Google BigQuery","Apache Iceberg","Delta Lake","Apache Hudi","Spark","Trino\u002FPresto","Hive","QlikSense","Informatica PowerCenter","Informatica BDM","Informatica IDQ","Informatica Enterprise Data Catalogue",{"nlp":29,"data lineage":29,"data quality":29,"data modeling":29,"data governance":29,"knowledge graph":30,"solution design":29,"data integration":29,"machine learning":29,"model governance":29,"cost optimization":30,"data architecture":29,"campaign analytics":30,"performance tuning":30,"project management":29,"credit risk analytics":29,"regulatory compliance":29,"requirements analysis":29,"rule-based decisioning":29},[476,130,46,477,478,479,188,218,480,481,132,482,53,483,484,485,425,443,486],"Data Architecture","NLP","Credit Risk Analytics","Campaign Analytics","Requirements Analysis","Solution Design","Data Lineage","Knowledge Graph","Rule-Based Decisioning","Data Integration","Performance Tuning",{"id":488,"slug":489,"title":490,"raw_title":11,"is_featured":12,"company":491,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":492,"processed_country_iso_code_gmaps":493,"processed_home_office":20,"processed_salary_min":73,"processed_salary_max":21,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":494,"processed_employment_types":27,"processed_it_skills":495,"processed_it_skills_labels":496,"processed_job_expertise_skills":501,"processed_job_expertise_skills_labels":502,"max_cpc":60,"actual_cpc":60},67952,"assistant-vp-system-analyst-unusual-access-monitoring-platform-group-technology-amp-ops-1011-united-overseas-bank-ltd","Assistant VP, System Analyst (Unusual Access Monitoring Platform), Group Technology & Ops",{"name":14,"slug":15,"logo_url":11},[17],[19],[26],{"etl":30,"sql":29,"linux":30,"python":29,"bi tools":30,"cloud platforms":108},[33,32,497,498,499,500],"Linux","ETL","BI Tools","Cloud Platforms",{"data governance":30,"system analysis":29,"data warehousing":30,"machine learning":30,"project management":30,"business intelligence":29},[503,355,504,130,46,218],"System Analysis","Data Warehousing",{"id":506,"slug":507,"title":140,"raw_title":11,"is_featured":12,"company":508,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":511,"processed_country_iso_code_gmaps":513,"processed_home_office":72,"processed_salary_min":73,"processed_salary_max":515,"processed_salary_currency":516,"processed_salary_source":24,"processed_working_hours":517,"processed_employment_types":518,"processed_it_skills":519,"processed_it_skills_labels":520,"processed_job_expertise_skills":528,"processed_job_expertise_skills_labels":529,"max_cpc":60,"actual_cpc":60},65725,"senior-data-scientist-sun-life-assurance-company-of-canada",{"name":509,"slug":510,"logo_url":11},"Sun Life Assurance Company of Canada","sun-life-assurance-company-of-canada",[512],"Toronto",[514],"CA",140000,"CAD",[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},[33,32,420,110,521,522,523,524,525,526,527],"GenAI frameworks","LLM APIs","RAG","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},[46,45,441,530,531,532,533,534,535,218],"Model Evaluation","Prompt Engineering","Chatbot Development","Conversational AI","Technical Leadership","Stakeholder Management",{"id":537,"slug":538,"title":539,"raw_title":11,"is_featured":12,"company":540,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":543,"processed_country_iso_code_gmaps":544,"processed_home_office":72,"processed_salary_min":545,"processed_salary_max":546,"processed_salary_currency":75,"processed_salary_source":24,"processed_working_hours":547,"processed_employment_types":548,"processed_it_skills":549,"processed_it_skills_labels":550,"processed_job_expertise_skills":560,"processed_job_expertise_skills_labels":561,"max_cpc":60,"actual_cpc":60},67188,"tech-amp-data-program-summer-2027-data-engineer-intern-hartford-hartford-fire-ins-co","Tech & Data Program Summer 2027 – Data Engineer Intern (Hartford)",{"name":541,"slug":542,"logo_url":11},"Hartford Fire Ins. Co","hartford-fire-ins-co",[102],[71],50000,70000,[26],"student",{"aws":108,"nlp":108,"sql":30,"llms":108,"agile":108,"azure":108,"github":108,"pl\u002Fsql":108,"python":30,"copilot":108,"etl\u002Felt":30,"tableau":108,"snowflake":108,"data quality":108,"google cloud":108,"data modeling":108,"ai\u002Fml concepts":108,"data pipelines":30,"data profiling":108,"data transformation":30,"generative ai tools":108,"data warehouse concepts":108},[33,32,551,419,112,110,159,552,42,424,129,553,554,132,425,555,382,556,557,558,477,559],"PL\u002FSQL","Google Cloud","Data Transformation","Data Profiling","Data Warehouse Concepts","AI\u002FML Concepts","Generative AI Tools","LLMs","Copilot",{"reporting":108,"automation":108,"data mining":108,"etl processes":30,"data analytics":30,"data engineering":30,"data warehousing":108,"machine learning":108,"data visualization":108,"business intelligence":108},[128,562,504,355,354,563,46,564,56,565],"ETL Processes","Data Analytics","Automation","Reporting",{"id":567,"slug":568,"title":569,"raw_title":11,"is_featured":12,"company":570,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":573,"processed_country_iso_code_gmaps":575,"processed_home_office":20,"processed_salary_min":577,"processed_salary_max":348,"processed_salary_currency":578,"processed_salary_source":24,"processed_working_hours":579,"processed_employment_types":27,"processed_it_skills":580,"processed_it_skills_labels":581,"processed_job_expertise_skills":595,"processed_job_expertise_skills_labels":596,"max_cpc":60,"actual_cpc":60},59524,"principal-platform-engineer-gbr006-refinitiv-limited","Principal Platform Engineer",{"name":571,"slug":572,"logo_url":11},"Refinitiv Limited","refinitiv-limited",[574],"Edinburgh",[576],"GB",100000,"GBP",[26],{"aws":30,"gcp":30,"sql":29,"java":30,"azure":30,"scala":30,"oracle":30,"presto":30,"python":29,"power bi":30,"clickhouse":108,"databricks":29,"postgresql":30,"sql server":30,"apache druid":108,"apache kafka":30,"apache pinot":108,"apache spark":29,"aws sagemaker":108,"azure ml studio":108},[33,582,583,32,111,584,585,586,159,110,587,41,588,589,433,590,591,592,593,594],"Java","Scala","Apache Spark","Apache Kafka","Presto","GCP","Oracle","PostgreSQL","Azure ML Studio","AWS Sagemaker","Clickhouse","Apache Druid","Apache Pinot",{"data analysis":29,"data modeling":29,"etl development":29,"machine learning":108,"stream analytics":108,"data architecture":29,"data visualization":30,"big data engineering":29,"data pipeline design":29,"real-time data processing":108},[597,598,476,599,425,133,56,46,600,601],"Big Data Engineering","Data Pipeline Design","ETL Development","Real-time Data Processing","Stream Analytics",{"id":603,"slug":604,"title":605,"raw_title":11,"is_featured":12,"company":606,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":607,"processed_country_iso_code_gmaps":608,"processed_home_office":20,"processed_salary_min":609,"processed_salary_max":609,"processed_salary_currency":75,"processed_salary_source":24,"processed_working_hours":610,"processed_employment_types":548,"processed_it_skills":611,"processed_it_skills_labels":612,"processed_job_expertise_skills":616,"processed_job_expertise_skills_labels":617,"max_cpc":60,"actual_cpc":60},52625,"data-engineering-internship-summer-2027-auto-owners-insurance-company","Data Engineering Internship - Summer 2027",{"name":66,"slug":67,"logo_url":11},[69],[71],0,[26],{"programming":30,"data quality":30,"data analysis":30,"data reporting":30,"data governance":30,"data management":30},[133,613,614,132,615,130],"Programming","Data Management","Data Reporting",{"physics":30,"statistics":30,"data mining":30,"mathematics":30,"machine learning":30,"actuarial science":108,"operations research":30},[618,46,354,619,620,621,622],"Statistics","Mathematics","Physics","Operations Research","Actuarial Science",{"id":624,"slug":625,"title":626,"raw_title":11,"is_featured":12,"company":627,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":630,"processed_country_iso_code_gmaps":632,"processed_home_office":20,"processed_salary_min":633,"processed_salary_max":634,"processed_salary_currency":75,"processed_salary_source":24,"processed_working_hours":635,"processed_employment_types":27,"processed_it_skills":636,"processed_it_skills_labels":637,"processed_job_expertise_skills":644,"processed_job_expertise_skills_labels":645,"max_cpc":60,"actual_cpc":653},53089,"principal-ai-engineering-lead-0200-ares-operations-llc","Principal, AI Engineering Lead",{"name":628,"slug":629,"logo_url":11},"Ares Operations LLC","ares-operations-llc",[631],"New York",[71],275000,350000,[26],{"sql":30,"azure":29,"ci\u002Fcd":30,"ragas":30,"docker":30,"mlflow":30,"python":29,"fastapi":29,"litellm":30,"langfuse":30,"langgraph":30,"databricks":29,"kubernetes":30},[33,32,111,159,638,421,639,114,640,526,641,642,643],"MLflow","Kubernetes","FastAPI","LiteLLM","Langfuse","RAGAS",{"compliance":29,"rag pipelines":29,"model registry":29,"data governance":29,"machine learning":29,"prompt governance":29,"architecture design":29,"technical leadership":29,"agentic orchestration":29,"llm application development":29},[46,646,647,648,649,650,130,651,652,534],"LLM Application Development","RAG Pipelines","Agentic Orchestration","Model Registry","Prompt Governance","Compliance","Architecture Design",0.5,{"industry":655,"employment_type":731,"expertise_skills":743,"it_skills":812,"salary_currency":885,"processed_working_hours":914},[656,660,664,668,672,676,680,684,686,689,692,695,698,701,704,707,710,713,716,719,722,725,728],{"key":657,"label":658,"count":659},"financial services","Financial Services",92,{"key":661,"label":662,"count":663},"insurance","Insurance",73,{"key":665,"label":666,"count":667},"banking","Banking",62,{"key":669,"label":670,"count":671},"financial markets infrastructure","Financial Markets Infrastructure",12,{"key":673,"label":674,"count":675},"data","Data",7,{"key":677,"label":678,"count":679},"asset management","Asset Management",6,{"key":681,"label":682,"count":683},"data provider","Data Provider",5,{"key":685,"label":285,"count":108},"risk management",{"key":687,"label":688,"count":108},"wealth management","Wealth Management",{"key":690,"label":691,"count":60},"risk","Risk",{"key":693,"label":694,"count":60},"wealth management solutions","Wealth Management Solutions",{"key":696,"label":697,"count":60},"alternative asset management","Alternative Asset Management",{"key":699,"label":700,"count":60},"financial regulation","Financial Regulation",{"key":702,"label":703,"count":60},"digital banking","Digital Banking",{"key":705,"label":706,"count":60},"financial risk management","Financial Risk Management",{"key":708,"label":709,"count":60},"asset management solutions","Asset Management Solutions",{"key":711,"label":712,"count":60},"fund administration","Fund Administration",{"key":714,"label":715,"count":60},"middle office","Middle Office",{"key":717,"label":718,"count":60},"claims administration","Claims Administration",{"key":720,"label":721,"count":60},"reinsurance","Reinsurance",{"key":723,"label":724,"count":60},"management","Management",{"key":726,"label":727,"count":60},"technology services for financial institutions","Technology Services For Financial Institutions",{"key":729,"label":730,"count":60},"private equity","Private Equity",[732,735,738,740],{"key":27,"label":733,"count":734},"PERMANENT",191,{"key":548,"label":736,"count":737},"STUDENT",11,{"key":518,"label":739,"count":29},"CONTRACT",{"key":741,"label":742,"count":60},"temporary","TEMPORARY",[744,746,750,753,756,760,763,766,769,772,774,777,780,783,785,788,790,794,797,800,802,805,807,809],{"key":745,"label":46,"slug":745,"count":5},"machine-learning",{"key":747,"label":748,"slug":747,"count":749},"generative-ai","Generative Ai",56,{"key":751,"label":45,"slug":751,"count":752},"data-science",49,{"key":754,"label":133,"slug":754,"count":755},"data-analysis",41,{"key":757,"label":758,"slug":757,"count":759},"deep-learning","Deep Learning",40,{"key":761,"label":183,"slug":761,"count":762},"statistical-modeling",39,{"key":764,"label":56,"slug":764,"count":765},"data-visualization",32,{"key":767,"label":291,"slug":767,"count":768},"predictive-modeling",31,{"key":770,"label":247,"slug":770,"count":771},"model-validation",28,{"key":773,"label":128,"slug":773,"count":771},"data-engineering",{"key":775,"label":259,"slug":775,"count":776},"model-deployment",27,{"key":778,"label":53,"slug":778,"count":779},"model-governance",25,{"key":781,"label":187,"slug":781,"count":782},"model-monitoring",24,{"key":784,"label":292,"slug":784,"count":782},"artificial-intelligence",{"key":786,"label":787,"slug":786,"count":782},"agentic-ai","Agentic Ai",{"key":789,"label":531,"slug":789,"count":782},"prompt-engineering",{"key":791,"label":792,"slug":791,"count":793},"project-management","Project management",22,{"key":795,"label":796,"slug":795,"count":793},"mlops","Mlops",{"key":798,"label":441,"slug":798,"count":799},"feature-engineering",21,{"key":801,"label":530,"slug":801,"count":799},"model-evaluation",{"key":803,"label":618,"slug":803,"count":804},"statistics",19,{"key":806,"label":57,"slug":806,"count":804},"natural-language-processing",{"key":808,"label":290,"slug":808,"count":804},"statistical-analysis",{"key":810,"label":130,"slug":810,"count":811},"data-governance",18,[813,816,819,823,826,829,833,837,841,844,846,850,854,855,857,861,864,865,867,870,873,876,878,881],{"key":814,"label":33,"slug":814,"count":815},"python",203,{"key":817,"label":32,"slug":817,"count":818},"sql",142,{"key":820,"label":821,"slug":820,"count":822},"aws","Aws",55,{"key":824,"label":34,"slug":824,"count":825},"r",52,{"key":154,"label":827,"slug":154,"count":828},"Scikit-Learn",47,{"key":830,"label":831,"slug":830,"count":832},"tensorflow","Tensorflow",46,{"key":834,"label":835,"slug":834,"count":836},"pytorch","Pytorch",45,{"key":838,"label":839,"slug":838,"count":840},"ms-azure","MS Azure",42,{"key":842,"label":157,"slug":842,"count":843},"git",38,{"key":845,"label":111,"slug":845,"count":768},"databricks",{"key":847,"label":848,"slug":847,"count":849},"sas","Sas",30,{"key":851,"label":852,"slug":851,"count":853},"cicd","Ci\u002FCd",29,{"key":152,"label":36,"slug":152,"count":771},{"key":856,"label":466,"slug":856,"count":776},"spark",{"key":858,"label":859,"slug":858,"count":860},"ms-powerbi","MS PowerBI",26,{"key":862,"label":863,"slug":862,"count":782},"langchain","Langchain",{"key":795,"label":796,"slug":795,"count":793},{"key":866,"label":419,"slug":866,"count":793},"snowflake",{"key":868,"label":869,"slug":868,"count":793},"hadoop","Hadoop",{"key":871,"label":872,"slug":871,"count":793},"numpy","Numpy",{"key":874,"label":421,"slug":874,"count":875},"docker",20,{"key":877,"label":582,"slug":877,"count":804},"java",{"key":879,"label":880,"slug":879,"count":804},"pyspark","Pyspark",{"key":882,"label":883,"slug":882,"count":884},"gcp","Gcp",17,[886,888,889,891,892,893,895,897,899,901,903,905,906,908,910,912],{"key":75,"label":75,"count":887},67,{"key":23,"label":23,"count":768},{"key":890,"label":890,"count":771},"EUR",{"key":516,"label":516,"count":779},{"key":310,"label":310,"count":804},{"key":578,"label":578,"count":894},14,{"key":231,"label":231,"count":896},9,{"key":898,"label":898,"count":30},"PLN",{"key":900,"label":900,"count":30},"CNY",{"key":902,"label":902,"count":30},"BRL",{"key":904,"label":904,"count":108},"HKD",{"key":397,"label":397,"count":108},{"key":907,"label":907,"count":60},"THB",{"key":909,"label":909,"count":60},"TRY",{"key":911,"label":911,"count":60},"TWD",{"key":913,"label":913,"count":60},"MXN",[915,917],{"key":26,"label":26,"count":916},205,{"key":918,"label":918,"count":679},"PART_TIME",{"total":60,"jobs":920},[]]