[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-machine-learning-global":3,"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Fmachine-learning?page=5":4,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Fmachine-learning?page=5":670,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Fmachine-learning?page=5":928},{},{"total":5,"jobs":6},214,[7,66,98,131,163,191,231,261,291,309,347,377,416,461,484,520,547,582,627,649],{"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":32,"processed_job_expertise_skills":48,"processed_job_expertise_skills_labels":49,"max_cpc":65,"actual_cpc":65},69476,"data-scientist-genai-llms-bcobilbao-vizcaya-argentaria","Data Scientist GenAI (LLMs)",null,false,{"name":14,"slug":15,"logo_url":11},"BCO.BILBAO VIZCAYA ARGENTARIA","bcobilbao-vizcaya-argentaria",[17],"Madrid",[19],"ES","hybrid",60000,90000,"EUR","estimated",[26],"FULL_TIME","permanent",{"aws":29,"azure":29,"numpy":30,"docker":29,"pandas":30,"python":30,"pyspark":31,"pytorch":31,"langchain":29,"langgraph":29,"kubernetes":29,"tensorflow":31,"google cloud":29,"scikit-learn":30,"huggingface transformers":31},2,4,3,[33,34,35,36,37,38,39,40,41,42,43,44,45,46,47],"Python","Pandas","NumPy","scikit-learn","PySpark","TensorFlow","PyTorch","HuggingFace Transformers","LangChain","LangGraph","AWS","Google Cloud","Azure","Docker","Kubernetes",{"ethical ai":31,"a\u002Fb testing":31,"data analysis":30,"cloud computing":29,"causal inference":29,"fine-tuning llms":30,"machine learning":30,"ai risk assessment":30,"model optimization":30,"prompt engineering":30,"statistical modeling":30,"embedding elicitation":30,"data lifecycle management":30,"large language models (llms)":30,"data privacy laws (gdpr, ccpa)":31},[50,51,52,53,54,55,56,57,58,59,60,61,62,63,64],"Statistical Modeling","Machine Learning","Large Language Models (LLMs)","Fine-tuning LLMs","Prompt Engineering","Embedding Elicitation","Model Optimization","Data Analysis","Data Lifecycle Management","AI Risk Assessment","A\u002FB Testing","Ethical AI","Data Privacy Laws (GDPR, CCPA)","Causal Inference","Cloud Computing",1,{"id":67,"slug":68,"title":69,"raw_title":11,"is_featured":12,"company":70,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":73,"processed_country_iso_code_gmaps":75,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":77,"processed_salary_source":24,"processed_working_hours":78,"processed_employment_types":27,"processed_it_skills":79,"processed_it_skills_labels":80,"processed_job_expertise_skills":86,"processed_job_expertise_skills_labels":87,"max_cpc":65,"actual_cpc":65},82983,"market-and-valuation-risk-management-valuations-senior-specialist-avp-9019-deutsche-knowledge-services-pte-ltd-manila-branch","Market and Valuation Risk Management – Valuations Senior Specialist - AVP",{"name":71,"slug":72,"logo_url":11},"9019 Deutsche Knowledge Services Pte. Ltd., Manila Branch","9019-deutsche-knowledge-services-pte-ltd-manila-branch",[74],"Manila",[76],"PH","PHP",[26],{"sql":31,"keras":30,"numpy":30,"pandas":30,"python":30,"pytorch":30,"tableau":31,"power bi":31,"tensorflow":30,"scikit-learn":30,"cloud-based data platforms":31},[33,81,82,83,36,38,39,84,34,35,85],"SQL","Tableau","Power BI","Keras","Cloud-based data platforms",{"data analytics":31,"control mindset":30,"data engineering":31,"machine learning":30,"market risk management":30,"artificial intelligence":30,"valuation methodologies":30,"data structures and algorithms":31,"software development best practices":31,"financial markets products knowledge":30},[88,89,90,91,92,93,94,95,96,97],"Financial markets products knowledge","Valuation methodologies","Market risk management","Control mindset","Data analytics","Machine learning","Artificial intelligence","Data engineering","Software development best practices","Data structures and algorithms",{"id":99,"slug":100,"title":101,"raw_title":11,"is_featured":12,"company":102,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":105,"processed_country_iso_code_gmaps":107,"processed_home_office":20,"processed_salary_min":109,"processed_salary_max":110,"processed_salary_currency":111,"processed_salary_source":24,"processed_working_hours":112,"processed_employment_types":27,"processed_it_skills":113,"processed_it_skills_labels":114,"processed_job_expertise_skills":116,"processed_job_expertise_skills_labels":117,"max_cpc":65,"actual_cpc":65},83668,"staff-data-scientist-product-government-employees-insurance-company","Staff Data Scientist, Product",{"name":103,"slug":104,"logo_url":11},"Government Employees Insurance Company","government-employees-insurance-company",[106],"Bethesda",[108],"US",115000,230000,"USD",[26],{"r":31,"sql":30,"python":31},[81,33,115],"R",{"statistics":30,"a\u002Fb testing":30,"forecasting":30,"data science":30,"roi modeling":30,"uplift modeling":31,"bayesian methods":31,"causal inference":30,"decision science":30,"machine learning":31,"decision modeling":30,"metric frameworks":30,"product analytics":30,"sequential testing":31,"hierarchical models":31,"root cause analysis":30},[118,119,120,60,63,121,122,123,124,125,126,127,128,129,130,51],"Product Analytics","Decision Science","Data Science","Statistics","Decision Modeling","Forecasting","ROI Modeling","Root Cause Analysis","Metric Frameworks","Bayesian Methods","Hierarchical Models","Sequential Testing","Uplift Modeling",{"id":132,"slug":133,"title":134,"raw_title":11,"is_featured":12,"company":135,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":138,"processed_country_iso_code_gmaps":140,"processed_home_office":142,"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":151,"processed_job_expertise_skills_labels":152,"max_cpc":65,"actual_cpc":65},76395,"data-scientist-ocbc-malaysia-2","Data Scientist",{"name":136,"slug":137,"logo_url":11},"OCBC Malaysia","ocbc-malaysia",[139],"Kuala Lumpur",[141],"MY","onsite",120000,180000,"MYR",[26],{"sql":31,"hadoop":29,"python":30,"pytorch":31,"tensorflow":31,"apache spark":29,"scikit-learn":31},[33,38,39,36,81,149,150],"Hadoop","Apache Spark",{"mentoring":30,"data science":30,"data analysis":30,"deep learning":31,"generative ai":30,"team leadership":30,"machine learning":30,"data visualization":31,"big data technologies":29,"ai solution deployment":30,"reinforcement learning":31,"strategic decision making":30,"natural language processing":31},[120,153,51,154,155,156,157,158,159,160,57,161,162],"Generative AI","Deep Learning","Natural Language Processing","Reinforcement Learning","Big Data Technologies","AI Solution Deployment","Team Leadership","Mentoring","Data Visualization","Strategic Decision Making",{"id":164,"slug":165,"title":134,"raw_title":11,"is_featured":12,"company":166,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":169,"processed_country_iso_code_gmaps":171,"processed_home_office":20,"processed_salary_min":22,"processed_salary_max":172,"processed_salary_currency":111,"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":177,"processed_job_expertise_skills_labels":178,"max_cpc":65,"actual_cpc":65},68771,"data-scientist-auto-owners-insurance-company",{"name":167,"slug":168,"logo_url":11},"Auto-Owners Insurance Company","auto-owners-insurance-company",[170],"Lansing",[108],130000,[26],{"r":31,"sql":31,"keras":31,"python":31,"tensorflow":31,"scikit-learn":31},[81,115,33,38,176,84],"Scikit-learn",{"clustering":30,"regression":30,"data analysis":30,"deep learning":30,"classification":30,"decision trees":30,"machine learning":30,"model monitoring":31,"gradient boosting":30,"data visualization":31,"feature engineering":30,"model documentation":31,"statistical modeling":30},[179,93,180,181,182,183,184,185,186,187,188,189,190],"Statistical modeling","Data analysis","Model documentation","Model monitoring","Feature engineering","Classification","Regression","Clustering","Decision trees","Gradient boosting","Deep learning","Data visualization",{"id":192,"slug":193,"title":194,"raw_title":11,"is_featured":12,"company":195,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":198,"processed_country_iso_code_gmaps":200,"processed_home_office":20,"processed_salary_min":201,"processed_salary_max":202,"processed_salary_currency":111,"processed_salary_source":24,"processed_working_hours":203,"processed_employment_types":27,"processed_it_skills":204,"processed_it_skills_labels":205,"processed_job_expertise_skills":221,"processed_job_expertise_skills_labels":222,"max_cpc":65,"actual_cpc":65},88426,"data-engineer-i-aws-databricks-travelers-indemnity-co","Data Engineer I (AWS, Databricks)",{"name":196,"slug":197,"logo_url":11},"Travelers Indemnity Co","travelers-indemnity-co",[199],"Hartford",[108],109300,180200,[26],{"aws":30,"sql":31,"jira":31,"snyk":29,"ci\u002Fcd":31,"athena":31,"github":31,"python":31,"autosys":29,"dynamodb":31,"autoloader":31,"aws lambda":31,"databricks":30,"servicenow":29,"unity catalog":31,"github copilot":29,"aws eventbridge":31,"aws step functions":31},[43,206,33,81,207,208,209,210,211,212,213,214,215,216,217,218,219,220],"Databricks","GitHub","Jira","CI\u002FCD","DynamoDB","Athena","AWS Lambda","AWS Step Functions","AWS EventBridge","Unity Catalog","Autoloader","GitHub Copilot","Snyk","ServiceNow","Autosys",{"devops":31,"ai tools":29,"data quality":31,"data analysis":31,"data security":31,"data pipelines":30,"data governance":31,"data engineering":30,"machine learning":29,"software engineering":31},[223,224,225,226,227,57,228,229,230,51],"Data Engineering","Data Pipelines","Data Governance","Data Security","Data Quality","Software Engineering","DevOps","AI Tools",{"id":232,"slug":233,"title":234,"raw_title":11,"is_featured":12,"company":235,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":238,"processed_country_iso_code_gmaps":240,"processed_home_office":20,"processed_salary_min":241,"processed_salary_max":242,"processed_salary_currency":111,"processed_salary_source":24,"processed_working_hours":243,"processed_employment_types":27,"processed_it_skills":244,"processed_it_skills_labels":245,"processed_job_expertise_skills":252,"processed_job_expertise_skills_labels":253,"max_cpc":65,"actual_cpc":65},74759,"senior-data-scientist-merastar-insurance-company","Senior Data Scientist",{"name":236,"slug":237,"logo_url":11},"Merastar Insurance Company","merastar-insurance-company",[239],"Alpharetta",[108],104300,173300,[26],{"aws":31,"git":31,"sql":30,"azure":31,"mlops":31,"numpy":30,"scipy":30,"gitlab":31,"pandas":30,"python":30,"databricks":31,"scikit-learn":30,"visualization libraries":30},[33,81,246,35,36,247,248,249,250,43,45,206,251],"pandas","SciPy","visualization libraries","Git","GitLab","MLOps",{"pricing":31,"data analysis":30,"risk modeling":31,"machine learning":30,"model deployment":31,"model validation":30,"feature engineering":30,"predictive modeling":30,"statistical modeling":30,"performance monitoring":31,"insurance industry knowledge":31},[179,93,254,255,183,180,256,257,258,259,260],"Predictive modeling","Model validation","Insurance industry knowledge","Pricing","Risk modeling","Model deployment","Performance monitoring",{"id":262,"slug":263,"title":264,"raw_title":11,"is_featured":12,"company":265,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":268,"processed_country_iso_code_gmaps":270,"processed_home_office":142,"processed_salary_min":143,"processed_salary_max":144,"processed_salary_currency":272,"processed_salary_source":24,"processed_working_hours":273,"processed_employment_types":27,"processed_it_skills":274,"processed_it_skills_labels":275,"processed_job_expertise_skills":278,"processed_job_expertise_skills_labels":279,"max_cpc":65,"actual_cpc":65},79285,"vice-president-data-scientist-group-retail-united-overseas-bank-ltd","Vice President, Data Scientist, Group Retail",{"name":266,"slug":267,"logo_url":11},"United Overseas Bank Ltd","united-overseas-bank-ltd",[269],"Singapore",[271],"SG","SGD",[26],{"r":30,"sas":30,"sql":30,"qlik":31,"keras":30,"pandas":30,"python":30,"tableau":31,"power bi":31,"tensorflow":30,"scikit-learn":30},[81,33,115,276,34,84,38,176,277,83,82],"SAS","Qlik",{"data science":30,"model testing":30,"data wrangling":30,"model training":30,"model selection":30,"machine learning":30,"model governance":31,"feature selection":30,"data visualization":30,"distributed databases":31,"network link analysis":31,"exploratory data analysis":30,"financial crime risk (fcr)":31,"anti-money laundering (aml)":31,"natural language processing":31},[120,51,280,281,282,283,284,285,286,287,288,161,155,289,290],"Data Wrangling","Exploratory Data Analysis","Feature Selection","Model Selection","Model Training","Model Testing","Model Governance","Anti-Money Laundering (AML)","Financial Crime Risk (FCR)","Network Link Analysis","Distributed Databases",{"id":292,"slug":293,"title":294,"raw_title":11,"is_featured":12,"company":295,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":296,"processed_country_iso_code_gmaps":297,"processed_home_office":20,"processed_salary_min":298,"processed_salary_max":143,"processed_salary_currency":111,"processed_salary_source":24,"processed_working_hours":299,"processed_employment_types":27,"processed_it_skills":300,"processed_it_skills_labels":301,"processed_job_expertise_skills":302,"processed_job_expertise_skills_labels":303,"max_cpc":65,"actual_cpc":65},68797,"predictive-modeler-auto-owners-insurance-company","Predictive Modeler",{"name":167,"slug":168,"logo_url":11},[],[],80000,[26],{"r":31,"sql":31,"python":31},[33,115,81],{"clustering":30,"regression":30,"data science":30,"classification":30,"ad-hoc analysis":31,"large data sets":30,"machine learning":30,"model monitoring":31,"data visualization":31,"model documentation":31,"statistical modeling":30,"regulatory compliance":31},[50,51,120,186,185,184,304,305,161,306,307,308],"Large Data Sets","Ad-hoc Analysis","Model Documentation","Model Monitoring","Regulatory Compliance",{"id":310,"slug":311,"title":312,"raw_title":11,"is_featured":12,"company":313,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":314,"processed_country_iso_code_gmaps":316,"processed_home_office":20,"processed_salary_min":317,"processed_salary_max":143,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":318,"processed_employment_types":27,"processed_it_skills":319,"processed_it_skills_labels":320,"processed_job_expertise_skills":336,"processed_job_expertise_skills_labels":337,"max_cpc":65,"actual_cpc":65},69486,"senior-data-scientist-foundation-model-ai-factory-bcobilbao-vizcaya-argentaria","Senior Data Scientist - Foundation Model - AI Factory",{"name":14,"slug":15,"logo_url":11},[315],"Bilbao",[19],70000,[26],{"lora":31,"python":30,"pytorch":30,"checkpointing":31,"experiment tracking":31,"memory optimization":31,"sequential modeling":30,"distributed training":30,"performance profiling":31,"optimization algorithms":30,"representation learning":30,"mixed precision training":31,"transformer architectures":30,"graph neural networks (gnn)":31,"software engineering practices":30,"parameter-efficient fine-tuning":31,"large language model (llm) pre-training":30},[33,39,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335],"Distributed Training","Transformer Architectures","Parameter-Efficient Fine-Tuning","LoRA","Experiment Tracking","Mixed Precision Training","Checkpointing","Memory Optimization","Performance Profiling","Graph Neural Networks (GNN)","Large Language Model (LLM) Pre-training","Sequential Modeling","Representation Learning","Optimization Algorithms","Software Engineering Practices",{"deep learning":30,"responsible ai":30,"risk management":31,"data preparation":30,"machine learning":30,"model evaluation":30,"scalable ai systems":30,"production deployment":30,"regulatory compliance":31,"financial data analysis":31,"research and development":30,"model architecture design":30},[51,154,338,339,340,341,342,343,308,344,345,346],"Model Architecture Design","Data Preparation","Model Evaluation","Production Deployment","Financial Data Analysis","Risk Management","Research and Development","Scalable AI Systems","Responsible AI",{"id":348,"slug":349,"title":350,"raw_title":11,"is_featured":12,"company":351,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":354,"processed_country_iso_code_gmaps":355,"processed_home_office":142,"processed_salary_min":143,"processed_salary_max":144,"processed_salary_currency":272,"processed_salary_source":24,"processed_working_hours":356,"processed_employment_types":27,"processed_it_skills":357,"processed_it_skills_labels":358,"processed_job_expertise_skills":363,"processed_job_expertise_skills_labels":364,"max_cpc":65,"actual_cpc":65},76431,"avp-business-analyst-legal-compliance-ocbc-bank","AVP, Business Analyst (Legal & Compliance)",{"name":352,"slug":353,"logo_url":11},"OCBC Bank","ocbc-bank",[],[271],[26],{"sql":31,"python":31,"sas-fms":31,"oracle fccm":31,"sai netreveal":31,"data analysis tools":31},[359,360,361,81,33,362],"SAI NetReveal","Oracle FCCM","SAS-FMS","Data Analysis Tools",{"sdlc":30,"anti-fraud":30,"agile\u002Fscrum":30,"data science":29,"risk scoring":30,"data analysis":30,"machine learning":29,"business analysis":30,"process modelling":30,"project management":31,"requirements gathering":30,"transaction monitoring":30,"kyc (know your customer)":30,"customer due diligence (cdd)":30,"fcc (financial crime compliance)":30},[365,366,367,57,368,369,370,371,372,373,374,375,376,51,120],"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":378,"slug":379,"title":380,"raw_title":11,"is_featured":12,"company":381,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":384,"processed_country_iso_code_gmaps":386,"processed_home_office":142,"processed_salary_min":144,"processed_salary_max":387,"processed_salary_currency":145,"processed_salary_source":24,"processed_working_hours":388,"processed_employment_types":27,"processed_it_skills":389,"processed_it_skills_labels":390,"processed_job_expertise_skills":392,"processed_job_expertise_skills_labels":393,"max_cpc":65,"actual_cpc":65},72875,"lead-data-scientist-ecl-modelling-gx-bank-berhad","Lead Data Scientist (ECL Modelling)",{"name":382,"slug":383,"logo_url":11},"GX Bank Berhad","gx-bank-berhad",[385],"Petaling Jaya",[141],300000,[26],{"aws":31,"git":31,"sql":30,"ci\u002Fcd":31,"numpy":30,"pandas":30,"python":30,"statsmodels":30,"scikit-learn":30},[33,81,246,35,36,391,249,209,43],"statsmodels",{"irb models":31,"stress testing":30,"machine learning":31,"model deployment":31,"model governance":30,"model validation":30,"recovery analysis":30,"survival analysis":30,"capital management":31,"logistic regression":30,"portfolio analytics":30,"transition matrices":30,"ifrs 9 ecl modelling":30,"mfrs 9 ecl modelling":30,"model implementation":30,"time-series analysis":30,"credit risk modelling":30,"regulatory compliance":30,"statistical modelling":30,"credit risk scorecards":30,"macroeconomic modelling":30,"basel credit risk models":31,"loss given default (lgd) modelling":30,"exposure at default (ead) modelling":30,"probability of default (pd) modelling":30},[394,395,396,397,398,399,400,401,402,403,286,308,404,51,405,406,407,408,409,410,411,412,413,414,415],"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":417,"slug":418,"title":419,"raw_title":11,"is_featured":12,"company":420,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":421,"processed_country_iso_code_gmaps":422,"processed_home_office":142,"processed_salary_min":143,"processed_salary_max":144,"processed_salary_currency":272,"processed_salary_source":24,"processed_working_hours":423,"processed_employment_types":27,"processed_it_skills":424,"processed_it_skills_labels":425,"processed_job_expertise_skills":441,"processed_job_expertise_skills_labels":442,"max_cpc":65,"actual_cpc":65},76528,"senior-ai-engineer-ocbc-bank","Senior AI Engineer",{"name":352,"slug":353,"logo_url":11},[],[271],[26],{"aws":31,"gcp":31,"git":31,"ray":31,"sql":31,"fsdp":31,"java":30,"ci\u002Fcd":31,"kafka":31,"mlops":31,"nosql":31,"numpy":31,"docker":31,"mlflow":31,"pandas":31,"python":30,"autogen":31,"pytorch":31,"azure ml":31,"kubeflow":31,"deepspeed":31,"langchain":31,"kubernetes":31,"tensorflow":31,"spring boot":31,"restful apis":31,"scikit-learn":31,"microservices":30,"pytorch distributed":31},[33,426,38,39,246,35,36,427,428,43,429,430,431,46,47,81,432,249,433,209,251,41,434,435,436,437,438,439,440],"Java","Spring Boot","Microservices","GCP","Azure ML","Kafka","NoSQL","RESTful APIs","AutoGen","MLflow","Kubeflow","Ray","FSDP","DeepSpeed","PyTorch Distributed",{"edge ai":31,"agentic ai":31,"lora\u002Fqlora":31,"deep learning":31,"peft pipelines":31,"computer vision":31,"machine learning":30,"model deployment":31,"model monitoring":31,"model versioning":31,"vector databases":31,"agile development":31,"federated learning":31,"prompt engineering":31,"distributed systems":31,"multi-agent systems":31,"distributed training":31,"predictive analytics":31,"recommendation systems":31,"transformer architectures":31,"event-driven architectures":31,"natural language processing":31,"large language models (llms)":31,"retrieval-augmented generation (rag)":31},[51,443,444,154,155,445,446,447,448,449,259,182,450,451,452,52,453,454,455,456,457,458,459,460],"Agentic AI","Multi-agent systems","Computer Vision","Recommendation Systems","Predictive Analytics","Distributed Systems","Event-driven architectures","Model versioning","Agile development","Transformer architectures","Vector databases","Retrieval-augmented generation (RAG)","Federated learning","Edge AI","Distributed training","LoRA\u002FQLoRA","PEFT pipelines","Prompt engineering",{"id":462,"slug":463,"title":464,"raw_title":11,"is_featured":12,"company":465,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":468,"processed_country_iso_code_gmaps":470,"processed_home_office":142,"processed_salary_min":472,"processed_salary_max":21,"processed_salary_currency":111,"processed_salary_source":24,"processed_working_hours":473,"processed_employment_types":27,"processed_it_skills":474,"processed_it_skills_labels":475,"processed_job_expertise_skills":478,"processed_job_expertise_skills_labels":479,"max_cpc":65,"actual_cpc":65},76791,"senior-data-scientist-chuyen-vien-cap-cao-khoa-hoc-du-lieu-prudential-vietnam-assurance-private-ltd","Senior Data Scientist (Chuyên viên Cấp cao Khoa Học Dữ Liệu)",{"name":466,"slug":467,"logo_url":11},"Prudential Vietnam Assurance Private Ltd.","prudential-vietnam-assurance-private-ltd",[469],"Thành phố Hồ Chí Minh",[471],"VN",30000,[26],{"sql":30,"python":30,"open source systems":31,"big data technologies":31},[33,81,476,477],"Big Data technologies","Open source systems",{"statistics":30,"a\u002Fb testing":30,"data mining":30,"machine learning":30,"feature engineering":30,"data-driven decision making":31,"data science project management":30},[51,121,480,60,481,482,483],"Data Mining","Data Science Project Management","Feature Engineering","Data-Driven Decision Making",{"id":485,"slug":486,"title":487,"raw_title":11,"is_featured":12,"company":488,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":491,"processed_country_iso_code_gmaps":493,"processed_home_office":20,"processed_salary_min":494,"processed_salary_max":495,"processed_salary_currency":111,"processed_salary_source":24,"processed_working_hours":496,"processed_employment_types":27,"processed_it_skills":497,"processed_it_skills_labels":498,"processed_job_expertise_skills":505,"processed_job_expertise_skills_labels":506,"max_cpc":65,"actual_cpc":65},79049,"manager-modeling-transamerica","Manager, Modeling",{"name":489,"slug":490,"logo_url":11},"Transamerica","transamerica",[492],"Baltimore",[108],136000,165000,[26],{"c++":30,"vba":30,"alfa":30,"axis":30,"moses":30,"python":30,"database design":31},[33,499,500,501,502,503,504],"C++","VBA","AXIS","ALFA","MoSes","Database Design",{"data analysis":30,"risk management":30,"machine learning":30,"model validation":30,"actuarial modeling":30,"cash flow modeling":30,"financial modeling":30,"financial reporting":30,"investment concepts":30,"predictive modeling":30,"derivatives modeling":30,"liquidity management":30,"statistical analysis":30,"hedge program analysis":30,"artificial intelligence":30,"asset liability management":30,"insurance product knowledge":30},[507,508,343,509,510,511,512,513,514,51,515,57,403,516,517,518,519],"Actuarial Modeling","Financial Modeling","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":521,"slug":522,"title":523,"raw_title":11,"is_featured":12,"company":524,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":528,"processed_country_iso_code_gmaps":530,"processed_home_office":142,"processed_salary_min":531,"processed_salary_max":532,"processed_salary_currency":111,"processed_salary_source":24,"processed_working_hours":533,"processed_employment_types":27,"processed_it_skills":534,"processed_it_skills_labels":535,"processed_job_expertise_skills":536,"processed_job_expertise_skills_labels":537,"max_cpc":65,"actual_cpc":65},76581,"vpsvp-quantitative-equity-research-analyst-pacific-investment-mgt-co-llc","VP\u002FSVP, Quantitative Equity Research Analyst",{"name":525,"slug":526,"logo_url":527},"Pacific Investment Mgt Co. LLC","pacific-investment-mgt-co-llc","https:\u002F\u002Fupload.wikimedia.org\u002Fwikipedia\u002Fcommons\u002Fthumb\u002F4\u002F49\u002FPIMCO_Logo.svg\u002F330px-PIMCO_Logo.svg.png",[529],"Newport Beach",[108],205000,292000,[26],{"python":30},[33],{"finance":30,"statistics":30,"econometrics":30,"optimization":31,"machine learning":29,"event-driven signals":30,"portfolio construction":30,"alpha signal generation":30,"transaction cost modeling":31,"systematic equity investing":30,"flow and positioning analysis":30},[538,539,540,541,542,51,543,121,544,545,546],"Systematic Equity Investing","Alpha Signal Generation","Portfolio Construction","Optimization","Transaction Cost Modeling","Finance","Econometrics","Event-Driven Signals","Flow and Positioning Analysis",{"id":548,"slug":549,"title":550,"raw_title":11,"is_featured":12,"company":551,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":552,"processed_country_iso_code_gmaps":554,"processed_home_office":20,"processed_salary_min":555,"processed_salary_max":556,"processed_salary_currency":111,"processed_salary_source":24,"processed_working_hours":557,"processed_employment_types":27,"processed_it_skills":558,"processed_it_skills_labels":559,"processed_job_expertise_skills":569,"processed_job_expertise_skills_labels":570,"max_cpc":65,"actual_cpc":65},83772,"distinguished-engineer-ai-applications-government-employees-insurance-company-2","Distinguished Engineer, AI Applications",{"name":103,"slug":104,"logo_url":11},[553],"Palo Alto",[108],210000,350000,[26],{"aws":30,"dbt":30,"java":30,"azure":30,"neo4j":30,"spark":30,"python":30,"airflow":30,"mongodb":30,"azure ml":30,"sagemaker":30,"snowflake":30,"aws bedrock":30,"elasticsearch":30},[33,426,560,561,562,563,564,565,566,43,45,567,430,568],"DBT","Airflow","Spark","MongoDB","ElasticSearch","Snowflake","Neo4j","SageMaker","AWS Bedrock",{"fairness":30,"security":30,"explainability":30,"data governance":30,"machine learning":30,"model monitoring":30,"scalable systems":30,"model maintenance":30,"strategic planning":30,"architecture design":30,"real-time ml serving":30,"regulatory compliance":30,"model interpretability":30,"large-scale data pipelines":30,"cross-functional leadership":30},[51,225,571,308,572,573,574,307,575,576,577,578,579,580,581],"Security","Model Interpretability","Fairness","Explainability","Model Maintenance","Scalable Systems","Cross-functional Leadership","Strategic Planning","Architecture Design","Real-time ML Serving","Large-scale Data Pipelines",{"id":583,"slug":584,"title":585,"raw_title":11,"is_featured":12,"company":586,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":589,"processed_country_iso_code_gmaps":591,"processed_home_office":20,"processed_salary_min":593,"processed_salary_max":594,"processed_salary_currency":595,"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":604,"processed_job_expertise_skills_labels":605,"max_cpc":65,"actual_cpc":65},72198,"business-management-analyst-avp-9608-deutsche-india-private-limited-mumbai-branch","Business Management Analyst, AVP",{"name":587,"slug":588,"logo_url":11},"9608 Deutsche India Private Limited, Mumbai Branch","9608-deutsche-india-private-limited-mumbai-branch",[590],"Mumbai",[592],"IN",3000000,5000000,"INR",[26],{"css":31,"sql":30,"vba":31,"html":31,"excel":30,"python":30,"tableau":30,"power bi":30,"scripting":31,"ai-powered productivity tools (e.g., copilot, genai platforms)":31},[33,81,599,600,601,83,82,602,500,603],"CSS","HTML","Scripting","Excel","AI-powered productivity tools (e.g., Copilot, GenAI platforms)",{"pmp":29,"agile":29,"scrum":29,"controls":31,"data science":30,"data modelling":31,"lean six sigma":29,"process mining":29,"banking products":31,"machine learning":30,"operational risk":31,"process analysis":30,"process redesign":30,"project execution":30,"advanced analytics":30,"capability mapping":31,"automation delivery":30,"workflow automation":31,"predictive analytics":31,"operating model design":30,"private bank processes":31,"artificial intelligence":30,"transformation initiatives":30,"intelligent decision-support solutions":31},[515,51,120,606,607,608,609,610,611,612,613,614,615,616,617,618,619,620,621,622,623,624,625,626],"Advanced Analytics","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":628,"slug":629,"title":630,"raw_title":11,"is_featured":12,"company":631,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":632,"processed_country_iso_code_gmaps":633,"processed_home_office":20,"processed_salary_min":634,"processed_salary_max":635,"processed_salary_currency":595,"processed_salary_source":24,"processed_working_hours":636,"processed_employment_types":27,"processed_it_skills":637,"processed_it_skills_labels":638,"processed_job_expertise_skills":639,"processed_job_expertise_skills_labels":640,"max_cpc":65,"actual_cpc":65},72196,"business-management-analyst-as-9608-deutsche-india-private-limited-mumbai-branch","Business Management Analyst, AS",{"name":587,"slug":588,"logo_url":11},[590],[592],2000000,3500000,[26],{"css":31,"sql":30,"vba":31,"html":31,"excel":30,"python":30,"tableau":30,"power bi":30,"scripting":31,"ai-powered productivity tools (e.g., copilot, genai platforms)":31},[33,81,599,600,601,83,82,602,500,603],{"data science":30,"documentation":31,"user training":31,"data modelling":30,"benefit analysis":30,"machine learning":30,"process analysis":30,"process redesign":30,"knowledge sharing":31,"project reporting":31,"advanced analytics":30,"capability mapping":30,"workflow automation":30,"predictive analytics":30,"continuous improvement":31,"artificial intelligence":30,"business case development":30,"intelligent decision-support solutions":30,"delivery of complex change or transformation initiatives":30},[515,51,120,606,608,609,610,611,612,614,615,641,642,643,644,645,646,647,648],"Delivery of complex change or transformation initiatives","Business case development","Benefit analysis","Project reporting","Documentation","User training","Knowledge sharing","Continuous improvement",{"id":650,"slug":651,"title":652,"raw_title":11,"is_featured":12,"company":653,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":656,"processed_country_iso_code_gmaps":657,"processed_home_office":142,"processed_salary_min":658,"processed_salary_max":659,"processed_salary_currency":77,"processed_salary_source":24,"processed_working_hours":660,"processed_employment_types":27,"processed_it_skills":661,"processed_it_skills_labels":662,"processed_job_expertise_skills":663,"processed_job_expertise_skills_labels":664,"max_cpc":65,"actual_cpc":669},69078,"catastrophe-modeling-analyst-arch-global-services-philippines-inc","Catastrophe Modeling Analyst",{"name":654,"slug":655,"logo_url":11},"Arch Global Services (Philippines) Inc.","arch-global-services-philippines-inc",[74],[76],600000,900000,[26],{"r":29,"sql":31,"excel":29,"python":31,"power bi":29},[602,33,81,115,83],{"data analysis":31,"data engineering":29,"machine learning":31,"report automation":29,"data visualization":29,"catastrophe modeling":31,"insurance terminology":29,"reinsurance knowledge":29},[665,666,667,51,57,161,223,668],"Catastrophe Modeling","Reinsurance Knowledge","Insurance Terminology","Report Automation",0.5,{"industry":671,"employment_type":750,"expertise_skills":761,"it_skills":830,"salary_currency":896,"processed_working_hours":923},[672,676,680,684,688,692,696,700,703,705,708,711,714,717,720,723,726,729,732,735,738,741,744,747],{"key":673,"label":674,"count":675},"insurance","Insurance",89,{"key":677,"label":678,"count":679},"financial services","Financial Services",79,{"key":681,"label":682,"count":683},"banking","Banking",56,{"key":685,"label":686,"count":687},"financial markets infrastructure","Financial Markets Infrastructure",19,{"key":689,"label":690,"count":691},"data","Data",11,{"key":693,"label":694,"count":695},"data provider","Data Provider",8,{"key":697,"label":698,"count":699},"asset management","Asset Management",7,{"key":701,"label":702,"count":31},"wealth management","Wealth Management",{"key":704,"label":343,"count":29},"risk management",{"key":706,"label":707,"count":29},"private equity","Private Equity",{"key":709,"label":710,"count":65},"fund administration","Fund Administration",{"key":712,"label":713,"count":65},"middle office","Middle Office",{"key":715,"label":716,"count":65},"financial regulation","Financial Regulation",{"key":718,"label":719,"count":65},"credit union","Credit Union",{"key":721,"label":722,"count":65},"digital banking","Digital Banking",{"key":724,"label":725,"count":65},"financial risk management","Financial Risk Management",{"key":727,"label":728,"count":65},"asset management solutions","Asset Management Solutions",{"key":730,"label":731,"count":65},"alternative asset management","Alternative Asset Management",{"key":733,"label":734,"count":65},"claims administration","Claims Administration",{"key":736,"label":737,"count":65},"reinsurance","Reinsurance",{"key":739,"label":740,"count":65},"management","Management",{"key":742,"label":743,"count":65},"technology services for financial institutions","Technology Services For Financial Institutions",{"key":745,"label":746,"count":65},"risk","Risk",{"key":748,"label":749,"count":65},"wealth management solutions","Wealth Management Solutions",[751,754,758],{"key":27,"label":752,"count":753},"PERMANENT",198,{"key":755,"label":756,"count":757},"student","STUDENT",13,{"key":759,"label":760,"count":29},"contract","CONTRACT",[762,764,768,771,774,777,780,783,785,788,791,794,796,799,802,805,808,812,814,818,820,823,825,827],{"key":763,"label":51,"slug":763,"count":5},"machine-learning",{"key":765,"label":766,"slug":765,"count":767},"generative-ai","Generative Ai",45,{"key":769,"label":57,"slug":769,"count":770},"data-analysis",42,{"key":772,"label":120,"slug":772,"count":773},"data-science",41,{"key":775,"label":154,"slug":775,"count":776},"deep-learning",37,{"key":778,"label":223,"slug":778,"count":779},"data-engineering",34,{"key":781,"label":161,"slug":781,"count":782},"data-visualization",31,{"key":784,"label":50,"slug":784,"count":782},"statistical-modeling",{"key":786,"label":514,"slug":786,"count":787},"predictive-modeling",30,{"key":789,"label":225,"slug":789,"count":790},"data-governance",29,{"key":792,"label":415,"slug":792,"count":793},"model-deployment",27,{"key":795,"label":482,"slug":795,"count":793},"feature-engineering",{"key":797,"label":307,"slug":797,"count":798},"model-monitoring",26,{"key":800,"label":54,"slug":800,"count":801},"prompt-engineering",25,{"key":803,"label":804,"slug":803,"count":801},"project-management","Project management",{"key":806,"label":340,"slug":806,"count":807},"model-evaluation",23,{"key":809,"label":810,"slug":809,"count":811},"data-analytics","Data Analytics",21,{"key":813,"label":121,"slug":813,"count":811},"statistics",{"key":815,"label":816,"slug":815,"count":817},"responsible-ai","Responsible Ai",20,{"key":819,"label":286,"slug":819,"count":817},"model-governance",{"key":821,"label":822,"slug":821,"count":817},"mlops","Mlops",{"key":824,"label":515,"slug":824,"count":817},"artificial-intelligence",{"key":826,"label":403,"slug":826,"count":687},"model-validation",{"key":828,"label":829,"slug":828,"count":687},"agentic-ai","Agentic Ai",[831,834,837,841,844,848,851,855,858,862,865,867,868,871,874,876,878,881,883,886,888,890,893,895],{"key":832,"label":33,"slug":832,"count":833},"python",205,{"key":835,"label":81,"slug":835,"count":836},"sql",145,{"key":838,"label":839,"slug":838,"count":840},"aws","Aws",63,{"key":36,"label":842,"slug":36,"count":843},"Scikit-Learn",55,{"key":845,"label":846,"slug":845,"count":847},"pytorch","Pytorch",53,{"key":849,"label":850,"slug":849,"count":847},"tensorflow","Tensorflow",{"key":852,"label":853,"slug":852,"count":854},"ms-azure","MS Azure",49,{"key":856,"label":115,"slug":856,"count":857},"r",47,{"key":859,"label":860,"slug":859,"count":861},"cicd","Ci\u002FCd",39,{"key":863,"label":249,"slug":863,"count":864},"git",35,{"key":866,"label":206,"slug":866,"count":864},"databricks",{"key":246,"label":34,"slug":246,"count":782},{"key":869,"label":870,"slug":869,"count":787},"ms-powerbi","MS PowerBI",{"key":872,"label":873,"slug":872,"count":793},"sas","Sas",{"key":875,"label":562,"slug":875,"count":793},"spark",{"key":877,"label":46,"slug":877,"count":798},"docker",{"key":879,"label":880,"slug":879,"count":801},"langchain","Langchain",{"key":882,"label":426,"slug":882,"count":801},"java",{"key":884,"label":885,"slug":884,"count":801},"numpy","Numpy",{"key":887,"label":47,"slug":887,"count":801},"kubernetes",{"key":889,"label":82,"slug":889,"count":811},"tableau",{"key":891,"label":892,"slug":891,"count":817},"pyspark","Pyspark",{"key":894,"label":565,"slug":894,"count":687},"snowflake",{"key":821,"label":822,"slug":821,"count":687},[897,899,900,901,904,905,908,909,911,913,915,917,919,921],{"key":111,"label":111,"count":898},70,{"key":23,"label":23,"count":864},{"key":272,"label":272,"count":801},{"key":902,"label":902,"count":903},"CAD",24,{"key":595,"label":595,"count":687},{"key":906,"label":906,"count":907},"GBP",14,{"key":145,"label":145,"count":695},{"key":77,"label":77,"count":910},5,{"key":912,"label":912,"count":30},"PLN",{"key":914,"label":914,"count":31},"HKD",{"key":916,"label":916,"count":31},"CNY",{"key":918,"label":918,"count":29},"BRL",{"key":920,"label":920,"count":65},"ARS",{"key":922,"label":922,"count":65},"TRY",[924,926],{"key":26,"label":26,"count":925},210,{"key":927,"label":927,"count":910},"PART_TIME",{"total":65,"jobs":929},[]]