[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-feature-engineering-global":3,"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Ffeature-engineering?page=2":4,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Ffeature-engineering?page=2":567,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Ffeature-engineering?page=2":748},{},{"total":5,"jobs":6},36,[7,104,139,174,225,249,275,319,340,359,381,426,453,473,497,519],{"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":51,"processed_job_expertise_skills_labels":52,"max_cpc":103,"actual_cpc":103},59582,"principal-machine-learning-engineer-gbr006-refinitiv-limited","Principal Machine Learning Engineer",null,false,{"name":14,"slug":15,"logo_url":11},"Refinitiv Limited","refinitiv-limited",[17],"London",[19],"GB","onsite",120000,180000,"GBP","estimated",[26],"FULL_TIME","permanent",{"iam":29,"shap":29,"ci\u002Fcd":29,"mlops":29,"python":29,"pytorch":29,"xgboost":29,"telemetry":29,"tensorflow":29,"aws sagemaker":29,"observability":29,"data pipelines":29,"explainability":29,"feature stores":30,"drift detection":29,"gpu optimization":30,"model governance":29,"distributed training":30,"infrastructure as code":29},4,3,[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],"Python","AWS SageMaker","PyTorch","TensorFlow","XGBoost","SHAP","CI\u002FCD","Infrastructure as Code","MLOps","Model Governance","Explainability","Drift Detection","Observability","Telemetry","IAM","Data Pipelines","Feature Stores","Distributed Training","GPU Optimization",{"slos":29,"encryption":29,"versioning":29,"a\u002Fb testing":29,"ml security":29,"model cards":29,"auditability":29,"pii handling":29,"reason codes":29,"traceability":29,"scoring logic":29,"ranking models":30,"stem education":30,"canary rollouts":29,"entity matching":30,"golden datasets":29,"model hot paths":29,"reproducibility":29,"benchmark suites":29,"model validation":29,"privacy policies":29,"search relevance":30,"behavioural tests":29,"cost optimization":29,"cross-account iam":29,"data minimisation":29,"model calibration":29,"proactive failover":29,"scale optimization":29,"security standards":29,"shadow deployments":29,"compliance policies":29,"feature engineering":29,"shadow-mode testing":29,"telemetry pipelines":29,"similarity modelling":30,"confidence thresholds":29,"continuous validation":29,"regulatory compliance":29,"feature store adoption":30,"data quality guardrails":29,"optimization strategies":29,"performance engineering":29,"compliance documentation":29,"reliability optimization":29,"data minimisation policies":29,"model lifecycle management":29,"latency-sensitive inference":29,"machine learning architecture":29,"multi-account aws ml platforms":30},[53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102],"Machine Learning Architecture","Model Lifecycle Management","Model Validation","Performance Engineering","Security Standards","Compliance Documentation","Model Cards","A\u002FB Testing","Shadow Deployments","Canary Rollouts","Ranking Models","Search Relevance","Entity Matching","Similarity Modelling","Feature Engineering","Data Quality Guardrails","Model Calibration","Scoring Logic","Confidence Thresholds","Optimization Strategies","Reason Codes","Regulatory Compliance","Data Minimisation","PII Handling","Encryption","Auditability","Reproducibility","Versioning","Traceability","Golden Datasets","Behavioural Tests","Benchmark Suites","Latency-Sensitive Inference","Model Hot Paths","Cost Optimization","Scale Optimization","Reliability Optimization","SLOs","Telemetry Pipelines","Privacy Policies","Data Minimisation Policies","Compliance Policies","Proactive Failover","Shadow-Mode Testing","Continuous Validation","ML Security","Cross-Account IAM","Multi-Account AWS ML Platforms","Feature Store Adoption","STEM Education",1,{"id":105,"slug":106,"title":107,"raw_title":11,"is_featured":12,"company":108,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":111,"processed_country_iso_code_gmaps":113,"processed_home_office":20,"processed_salary_min":115,"processed_salary_max":116,"processed_salary_currency":117,"processed_salary_source":24,"processed_working_hours":118,"processed_employment_types":27,"processed_it_skills":119,"processed_it_skills_labels":121,"processed_job_expertise_skills":128,"processed_job_expertise_skills_labels":129,"max_cpc":103,"actual_cpc":103},62016,"analyst-sales-performance-amp-sales-incentive-ocbc-malaysia","Analyst, Sales Performance & Sales Incentive",{"name":109,"slug":110,"logo_url":11},"OCBC Malaysia","ocbc-malaysia",[112],"Kuala Lumpur",[114],"MY",40000,60000,"SGD",[26],{"sas":30,"sql":30,"vba":30,"python":30,"ms excel":30,"ms access":30,"data warehousing":120},2,[122,123,124,125,126,32,127],"SAS","MS Excel","MS Access","SQL","VBA","Data Warehousing",{"forecasting":30,"data analysis":30,"mis reporting":30,"data management":120,"data validation":30,"audit compliance":120,"business partnering":120,"feature engineering":30,"predictive analytics":30,"user acceptance testing":120},[130,131,67,132,133,134,135,136,137,138],"Data Analysis","Data Validation","Predictive Analytics","Forecasting","MIS Reporting","Business Partnering","Data Management","User Acceptance Testing","Audit Compliance",{"id":140,"slug":141,"title":142,"raw_title":11,"is_featured":12,"company":143,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":146,"processed_country_iso_code_gmaps":148,"processed_home_office":20,"processed_salary_min":150,"processed_salary_max":21,"processed_salary_currency":151,"processed_salary_source":24,"processed_working_hours":152,"processed_employment_types":27,"processed_it_skills":153,"processed_it_skills_labels":154,"processed_job_expertise_skills":159,"processed_job_expertise_skills_labels":160,"max_cpc":103,"actual_cpc":103},59967,"senior-data-scientist-phl006-refinitiv-asia-pte-ltd-philippine-branch","Senior Data Scientist",{"name":144,"slug":145,"logo_url":11},"Refinitiv Asia Pte. Ltd. Philippine Branch","refinitiv-asia-pte-ltd-philippine-branch",[147],"Taguig",[149],"PH",80000,"PHP",[26],{"aws":30,"git":30,"sql":30,"azure":30,"ci\u002Fcd":30,"mlops":30,"python":29,"pytorch":29,"tensorflow":29,"scikit-learn":29},[32,35,34,155,156,38,125,157,158,40],"Scikit-learn","Git","AWS","Azure",{"scraping":30,"web crawling":30,"deep learning":29,"data analytics":29,"data pipelines":30,"product vision":29,"data management":30,"coding standards":30,"entity extraction":30,"prompt engineering":29,"feature engineering":29,"predictive modelling":29,"statistical analysis":29,"large language models":29,"natural language processing":29,"retrieval-augmented generation":29},[161,162,163,164,165,166,167,67,168,169,170,171,136,47,172,173],"Data Analytics","Natural Language Processing","Large Language Models","Prompt Engineering","Retrieval-Augmented Generation","Deep Learning","Statistical Analysis","Predictive Modelling","Web Crawling","Scraping","Entity Extraction","Product Vision","Coding Standards",{"id":175,"slug":176,"title":177,"raw_title":11,"is_featured":12,"company":178,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":181,"processed_country_iso_code_gmaps":183,"processed_home_office":20,"processed_salary_min":185,"processed_salary_max":186,"processed_salary_currency":187,"processed_salary_source":24,"processed_working_hours":188,"processed_employment_types":27,"processed_it_skills":189,"processed_it_skills_labels":190,"processed_job_expertise_skills":193,"processed_job_expertise_skills_labels":194,"max_cpc":103,"actual_cpc":103},66386,"audit-manager-i-us-model-risk-audit-td-bank-na","Audit Manager I (US) – Model Risk Audit",{"name":179,"slug":180,"logo_url":11},"TD Bank, N.A.","td-bank-na",[182],"New York",[184],"US",77260,128940,"USD",[26],{"r":30,"sas":30,"sql":29,"vba":30,"matlab":30,"python":29},[32,125,122,191,192,126],"R","MATLAB",{"ccar":30,"basel":30,"sr 26-2":30,"agentic ai":29,"cecl\u002Fifrs 9":30,"generative ai":29,"aml\u002Fbsa models":30,"model fairness":29,"audit execution":29,"risk assessment":29,"machine learning":29,"model deployment":30,"model governance":29,"model monitoring":29,"model robustness":29,"model validation":29,"internal controls":29,"ai risk assessment":29,"hypothesis testing":29,"probability theory":29,"project management":30,"feature engineering":29,"regression analysis":29,"model explainability":29,"model implementation":30,"statistical analysis":29,"stochastic processes":29,"time series analysis":29,"model risk management":29,"regulatory compliance":29,"data quality assessment":29,"ai governance frameworks":30,"simulation methodologies":29,"model lifecycle management":30,"model performance measurement":29,"quantitative financial modeling":29},[195,196,55,167,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,74,213,214,67,41,215,216,217,54,218,219,220,221,222,223,224],"Quantitative Financial Modeling","Model Risk Management","Regression Analysis","Hypothesis Testing","Probability Theory","Time Series Analysis","Stochastic Processes","Simulation Methodologies","Model Performance Measurement","Model Monitoring","AI Risk Assessment","Machine Learning","Generative AI","Agentic AI","AML\u002FBSA Models","Audit Execution","Internal Controls","Risk Assessment","Project Management","Data Quality Assessment","Model Explainability","Model Fairness","Model Robustness","Model Implementation","Model Deployment","Basel","CCAR","CECL\u002FIFRS 9","SR 26-2","AI Governance Frameworks",{"id":226,"slug":227,"title":228,"raw_title":11,"is_featured":12,"company":229,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":230,"processed_country_iso_code_gmaps":231,"processed_home_office":20,"processed_salary_min":232,"processed_salary_max":233,"processed_salary_currency":151,"processed_salary_source":24,"processed_working_hours":234,"processed_employment_types":27,"processed_it_skills":235,"processed_it_skills_labels":236,"processed_job_expertise_skills":239,"processed_job_expertise_skills_labels":240,"max_cpc":103,"actual_cpc":103},59941,"data-scientist-phl006-refinitiv-asia-pte-ltd-philippine-branch-2","Data Scientist",{"name":144,"slug":145,"logo_url":11},[147],[149],50000,70000,[26],{"r":30,"aws":30,"git":30,"sql":30,"azure":30,"ci\u002Fcd":30,"numpy":29,"pandas":29,"python":29,"pytorch":30,"tensorflow":30,"scikit-learn":29},[32,125,191,35,34,156,38,157,158,237,238,155],"Pandas","NumPy",{"nlp":29,"rag":29,"llms":29,"mlops":30,"statistics":29,"web scraping":30,"deep learning":29,"data analytics":29,"data management":30,"entity extraction":30,"data visualization":30,"financial services":30,"investment banking":120,"feature engineering":29,"predictive modelling":29},[161,67,168,241,242,243,166,244,40,245,171,136,246,247,248],"NLP","LLMs","RAG","Statistics","Web Scraping","Financial Services","Investment Banking","Data Visualization",{"id":250,"slug":251,"title":228,"raw_title":11,"is_featured":12,"company":252,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":253,"processed_country_iso_code_gmaps":254,"processed_home_office":20,"processed_salary_min":150,"processed_salary_max":21,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":255,"processed_employment_types":27,"processed_it_skills":256,"processed_it_skills_labels":257,"processed_job_expertise_skills":262,"processed_job_expertise_skills_labels":263,"max_cpc":103,"actual_cpc":103},59530,"data-scientist-gbr006-refinitiv-limited",{"name":14,"slug":15,"logo_url":11},[17],[19],[26],{"sql":30,"llms":30,"mlops":30,"numpy":30,"pandas":30,"python":29,"scikit-learn":30,"generative ai":30,"azure ai services":120,"rag architectures":30,"data visualization":30,"cloud-based data science platforms":30},[32,125,237,238,155,207,242,258,259,40,260,261],"RAG architectures","Cloud-based data science platforms","Data visualization","Azure AI services",{"sre":120,"mentoring":30,"observability":120,"responsible ai":120,"experimentation":30,"machine learning":29,"model evaluation":30,"model governance":30,"model monitoring":30,"product delivery":30,"financial services":120,"feature engineering":30,"predictive analytics":29,"ai-powered automation":120,"market infrastructure":120,"operational analytics":120,"statistical modelling":29,"regulated environments":120},[206,264,132,265,67,266,204,41,267,268,246,269,270,44,271,272,273,274],"Statistical Modelling","Experimentation","Model Evaluation","Product Delivery","Mentoring","Regulated Environments","Market Infrastructure","SRE","Operational Analytics","AI-powered Automation","Responsible AI",{"id":276,"slug":277,"title":278,"raw_title":11,"is_featured":12,"company":279,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":282,"processed_country_iso_code_gmaps":284,"processed_home_office":20,"processed_salary_min":285,"processed_salary_max":286,"processed_salary_currency":187,"processed_salary_source":24,"processed_working_hours":287,"processed_employment_types":27,"processed_it_skills":288,"processed_it_skills_labels":289,"processed_job_expertise_skills":301,"processed_job_expertise_skills_labels":302,"max_cpc":103,"actual_cpc":103},63375,"senior-ai-engineer-privilege-underwriters-inc","Senior AI Engineer",{"name":280,"slug":281,"logo_url":11},"Privilege Underwriters, Inc.","privilege-underwriters-inc",[283],"White Plains",[184],85000,105000,[26],{"aws":29,"docker":30,"python":29,"fastapi":30,"langchain":30,"langgraph":30,"terraform":120,"databricks":29,"kubernetes":120,"claude code":30,"openai codex":30,"github actions":30,"github copilot":30},[32,157,290,291,292,293,294,295,296,297,298,299,300],"Docker","Kubernetes","Databricks","LangChain","LangGraph","FastAPI","Terraform","GitHub Actions","OpenAI Codex","Claude Code","GitHub Copilot",{"ci\u002Fcd":30,"agentic ai":29,"risk scoring":120,"ai governance":29,"model serving":30,"observability":30,"rag pipelines":29,"vector search":30,"fraud detection":120,"llm engineering":29,"containerization":30,"machine learning":29,"cost optimization":30,"incident response":30,"model fine-tuning":30,"cloud architecture":29,"prompt engineering":29,"feature engineering":30,"serverless computing":30,"document intelligence":120,"actuarial data systems":120,"compliance (soc2, naic, gdpr)":30,"software development life cycle":30},[206,303,304,208,164,305,306,38,307,87,44,308,309,310,311,312,67,313,314,315,316,317,318],"LLM Engineering","RAG Pipelines","Model Fine-tuning","AI Governance","Cloud Architecture","Incident Response","Software Development Life Cycle","Serverless Computing","Containerization","Vector Search","Model Serving","Compliance (SOC2, NAIC, GDPR)","Fraud Detection","Document Intelligence","Risk Scoring","Actuarial Data Systems",{"id":320,"slug":321,"title":142,"raw_title":11,"is_featured":12,"company":322,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":325,"processed_country_iso_code_gmaps":327,"processed_home_office":20,"processed_salary_min":329,"processed_salary_max":330,"processed_salary_currency":187,"processed_salary_source":24,"processed_working_hours":331,"processed_employment_types":27,"processed_it_skills":332,"processed_it_skills_labels":333,"processed_job_expertise_skills":334,"processed_job_expertise_skills_labels":335,"max_cpc":103,"actual_cpc":103},59748,"senior-data-scientist-ind201-refinitiv-india-shared-services-private-limited",{"name":323,"slug":324,"logo_url":11},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[326],"Bengaluru",[328],"IN",90000,130000,[26],{"r":30,"aws":29,"git":30,"sql":30,"azure":30,"ci\u002Fcd":30,"mlops":30,"python":29,"pytorch":29,"tensorflow":29,"scikit-learn":29},[32,191,125,35,34,155,156,38,157,158,40],{"web crawling":30,"deep learning":29,"data analytics":29,"financial data":30,"product vision":29,"cloud platforms":29,"data management":30,"coding standards":30,"machine learning":29,"entity extraction":30,"prompt engineering":29,"feature engineering":29,"predictive modeling":29,"statistical analysis":29,"evaluation frameworks":30,"large language models":29,"natural language processing":29,"retrieval-augmented generation":29},[161,67,336,167,162,163,164,165,166,206,169,171,136,337,172,173,338,339],"Predictive Modeling","Financial Data","Evaluation Frameworks","Cloud Platforms",{"id":341,"slug":342,"title":343,"raw_title":11,"is_featured":12,"company":344,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":347,"processed_country_iso_code_gmaps":348,"processed_home_office":20,"processed_salary_min":232,"processed_salary_max":233,"processed_salary_currency":117,"processed_salary_source":24,"processed_working_hours":350,"processed_employment_types":27,"processed_it_skills":351,"processed_it_skills_labels":352,"processed_job_expertise_skills":355,"processed_job_expertise_skills_labels":356,"max_cpc":103,"actual_cpc":103},62485,"sales-incentive-analyst-ocbc-bank","Sales Incentive Analyst",{"name":345,"slug":346,"logo_url":11},"OCBC Bank","ocbc-bank",[],[349],"SG",[26],{"sql":29,"excel":29,"data visualization software":30},[353,125,354],"Excel","Data Visualization Software",{"data analysis":29,"feature engineering":30,"dashboard development":30,"user acceptance testing":120,"sales incentive calculation":29},[130,357,358,67,137],"Sales Incentive Calculation","Dashboard Development",{"id":360,"slug":361,"title":362,"raw_title":11,"is_featured":12,"company":363,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":366,"processed_country_iso_code_gmaps":367,"processed_home_office":20,"processed_salary_min":368,"processed_salary_max":369,"processed_salary_currency":187,"processed_salary_source":24,"processed_working_hours":370,"processed_employment_types":27,"processed_it_skills":371,"processed_it_skills_labels":372,"processed_job_expertise_skills":375,"processed_job_expertise_skills_labels":376,"max_cpc":103,"actual_cpc":103},64612,"ml-architect-sedgwick-claims-management-services-inc","ML Architect",{"name":364,"slug":365,"logo_url":11},"Sedgwick Claims Management Services Inc.","sedgwick-claims-management-services-inc",[],[184],175000,220000,[26],{"r":29,"sql":29,"python":29,"microsoft office":120,"data visualization tools":30},[32,191,125,373,374],"Data Visualization Tools","Microsoft Office",{"data science":29,"etl pipelines":29,"data wrangling":29,"data exploration":29,"machine learning":29,"data visualization":30,"feature engineering":29,"predictive modeling":29,"statistical analysis":29,"natural language processing":30},[206,336,377,378,67,162,379,380,167,248],"Data Science","Data Wrangling","ETL Pipelines","Data Exploration",{"id":382,"slug":383,"title":384,"raw_title":11,"is_featured":12,"company":385,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":386,"processed_country_iso_code_gmaps":387,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":117,"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":409,"processed_job_expertise_skills_labels":410,"max_cpc":103,"actual_cpc":103},62344,"data-engineer-vp-ocbc-bank","Data Engineer (VP)",{"name":345,"slug":346,"logo_url":11},[],[349],[26],{"aws":29,"dbt":30,"git":30,"sql":29,"ci\u002Fcd":30,"kafka":30,"docker":30,"hadoop":30,"python":29,"airflow":30,"dagster":30,"kinesis":30,"pyspark":29,"pinecone":120,"power bi":30,"weaviate":120,"langchain":120,"sagemaker":120,"terraform":120,"databricks":30,"kubernetes":30,"opensearch":120,"apache spark":29,"amazon bedrock":120,"apache iceberg":29,"cloudformation":120,"data virtualization":30,"unix\u002Flinux shell scripting":30},[125,391,392,32,393,394,395,396,156,38,397,157,398,399,400,401,402,290,291,403,404,292,405,293,406,407,296,408],"Apache Spark","PySpark","Apache Iceberg","dbt","Airflow","Dagster","Unix\u002FLinux shell scripting","Kafka","Kinesis","Hadoop","Data Virtualization","Power BI","Amazon Bedrock","SageMaker","OpenSearch","Pinecone","Weaviate","CloudFormation",{"mlops":30,"banking":30,"dataops":29,"data mesh":120,"data lineage":29,"ai governance":120,"data products":120,"generative ai":30,"vector search":30,"responsible ai":120,"data governance":29,"data engineering":29,"machine learning":30,"data observability":29,"financial services":30,"distributed systems":30,"feature engineering":30,"metadata management":29,"lakehouse architecture":29,"cloud-native architecture":29,"data platform architecture":29,"large language models (llms)":120,"retrieval-augmented generation (rag)":30},[411,412,413,414,415,416,417,418,419,40,206,207,420,67,312,421,422,423,424,274,306,246,425],"Data Engineering","Data Platform Architecture","Cloud-native Architecture","Lakehouse Architecture","Data Governance","Data Lineage","Metadata Management","Data Observability","DataOps","Retrieval-Augmented Generation (RAG)","Data Mesh","Data Products","Distributed Systems","Large Language Models (LLMs)","Banking",{"id":427,"slug":428,"title":429,"raw_title":11,"is_featured":12,"company":430,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":433,"processed_country_iso_code_gmaps":435,"processed_home_office":20,"processed_salary_min":329,"processed_salary_max":436,"processed_salary_currency":117,"processed_salary_source":24,"processed_working_hours":437,"processed_employment_types":27,"processed_it_skills":438,"processed_it_skills_labels":439,"processed_job_expertise_skills":444,"processed_job_expertise_skills_labels":445,"max_cpc":103,"actual_cpc":103},47972,"machine-learning-engineer-ch10-bjb-bank-julius-baer-amp-co-ltd","Machine Learning Engineer",{"name":431,"slug":432,"logo_url":11},"Bank Julius Baer & Co. Ltd.","bank-julius-baer-co-ltd",[434],"Singapore",[349],150000,[26],{"python":29,"pytorch":30,"testing":30,"tensorflow":30,"documentation":30,"version control":30,"llm orchestration frameworks":30},[32,35,34,440,441,442,443],"LLM orchestration frameworks","Version control","Testing","Documentation",{"ai agents":29,"statistics":30,"rag systems":29,"data science":29,"optimization":30,"linear algebra":30,"machine learning":29,"model evaluation":29,"data preprocessing":30,"feature engineering":30,"large language models":29},[206,377,163,446,447,448,449,450,244,451,452],"AI agents","RAG systems","Model evaluation","Data preprocessing","Feature engineering","Linear algebra","Optimization",{"id":454,"slug":455,"title":142,"raw_title":11,"is_featured":12,"company":456,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":459,"processed_country_iso_code_gmaps":461,"processed_home_office":20,"processed_salary_min":463,"processed_salary_max":464,"processed_salary_currency":465,"processed_salary_source":24,"processed_working_hours":466,"processed_employment_types":27,"processed_it_skills":467,"processed_it_skills_labels":468,"processed_job_expertise_skills":469,"processed_job_expertise_skills_labels":470,"max_cpc":103,"actual_cpc":103},59442,"senior-data-scientist-chn020-refinitiv-information-services-china-co-ltd-shenzhen-branch",{"name":457,"slug":458,"logo_url":11},"Refinitiv Information Services (China) Co., Ltd. - Shenzhen Branch","refinitiv-information-services-china-co-ltd-shenzhen-branch",[460],"Shenzhen",[462],"CN",600000,900000,"CNY",[26],{"r":30,"aws":30,"git":30,"sql":30,"azure":30,"python":29,"pytorch":29,"tensorflow":29,"scikit-learn":29},[32,125,35,34,155,156,157,158,191],{"ci\u002Fcd":30,"mlops":30,"scraping":30,"probability":29,"web crawling":30,"deep learning":29,"data analytics":29,"financial data":30,"product vision":30,"data management":30,"coding standards":30,"entity extraction":30,"applied statistics":29,"prompt engineering":29,"feature engineering":29,"predictive modeling":29,"statistical analysis":29,"evaluation frameworks":30,"large language models":29,"natural language processing":29,"retrieval-augmented generation":29},[161,162,166,163,164,165,67,336,167,471,472,40,38,169,170,171,136,337,172,173,338],"Probability","Applied Statistics",{"id":474,"slug":475,"title":476,"raw_title":11,"is_featured":12,"company":477,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":480,"processed_country_iso_code_gmaps":482,"processed_home_office":483,"processed_salary_min":21,"processed_salary_max":484,"processed_salary_currency":187,"processed_salary_source":24,"processed_working_hours":485,"processed_employment_types":27,"processed_it_skills":486,"processed_it_skills_labels":487,"processed_job_expertise_skills":489,"processed_job_expertise_skills_labels":490,"max_cpc":103,"actual_cpc":103},68780,"experienced-data-scientist-auto-owners-insurance-company","Experienced Data Scientist",{"name":478,"slug":479,"logo_url":11},"Auto-Owners Insurance Company","auto-owners-insurance-company",[481],"Lansing",[184],"hybrid",160000,[26],{"r":30,"aws":120,"sql":29,"keras":30,"python":30,"tensorflow":30,"scikit-learn":30},[125,191,32,35,155,488,157],"Keras",{"data analysis":29,"cloud computing":120,"machine learning":29,"feature engineering":29,"statistical modeling":29,"model lifecycle management":29,"insurance industry knowledge":120},[491,492,493,494,450,495,496],"Statistical modeling","Machine learning","Data analysis","Model lifecycle management","Cloud computing","Insurance industry knowledge",{"id":498,"slug":499,"title":500,"raw_title":11,"is_featured":12,"company":501,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":504,"processed_country_iso_code_gmaps":505,"processed_home_office":20,"processed_salary_min":329,"processed_salary_max":330,"processed_salary_currency":117,"processed_salary_source":24,"processed_working_hours":506,"processed_employment_types":507,"processed_it_skills":508,"processed_it_skills_labels":509,"processed_job_expertise_skills":512,"processed_job_expertise_skills_labels":513,"max_cpc":103,"actual_cpc":103},63215,"ai-engineer-1-year-contract-pacs-prudential-assurance-company-singapore-pte-ltd","AI Engineer (1 Year Contract)",{"name":502,"slug":503,"logo_url":11},"Prudential Assurance Company Singapore (Pte) Ltd","prudential-assurance-company-singapore-pte-ltd",[],[349],[26],"contract",{"r":30,"aws":30,"azure":30,"python":29,"pytorch":29,"tensorflow":29,"google cloud":30,"scikit-learn":29},[32,191,35,34,510,157,511,158],"scikit-learn","Google Cloud",{"nlp":30,"mlops":29,"llmops":29,"computer vision":30,"machine learning":29,"model evaluation":29,"data preprocessing":29,"feature engineering":29,"cloud infrastructure":30,"large language models":29,"research and development":29},[206,163,514,241,40,515,516,67,266,517,518],"Computer Vision","LLMOps","Data Preprocessing","Cloud Infrastructure","Research and Development",{"id":520,"slug":521,"title":142,"raw_title":11,"is_featured":12,"company":522,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":523,"processed_country_iso_code_gmaps":524,"processed_home_office":20,"processed_salary_min":329,"processed_salary_max":330,"processed_salary_currency":187,"processed_salary_source":24,"processed_working_hours":525,"processed_employment_types":27,"processed_it_skills":526,"processed_it_skills_labels":527,"processed_job_expertise_skills":531,"processed_job_expertise_skills_labels":532,"max_cpc":103,"actual_cpc":566},59777,"senior-data-scientist-ind201-refinitiv-india-shared-services-private-limited-5",{"name":323,"slug":324,"logo_url":11},[326],[328],[26],{"r":30,"aws":30,"nlp":29,"sql":29,"vba":120,"llms":29,"mlops":30,"python":29,"statistics":29,"rag workflow":29,"cloud computing":30,"data engineering":29,"machine learning":29,"data visualization":30,"prompt engineering":30,"relational databases":29},[32,125,191,126,528,40,241,242,529,164,411,206,244,530,248,157],"Cloud Computing","RAG Workflow","Relational Databases",{"sourcing":29,"deployment":30,"extraction":29,"leadership":29,"data science":29,"data analysis":29,"data cleaning":29,"market trends":29,"pdf processing":30,"pre-processing":29,"product vision":29,"data management":29,"poc development":30,"post-processing":29,"structured data":29,"data acquisition":29,"unstructured data":29,"business knowledge":29,"business processes":29,"product management":29,"automated solutions":29,"c-suite interaction":30,"data transformation":29,"feature engineering":29,"financial analytics":29,"pattern recognition":29,"predictive modeling":29,"pipeline development":30,"semi-structured data":29,"agile team leadership":29,"quantitative modeling":29,"stakeholder management":29,"technical articulation":29,"user experience design":30,"commercial data management":30,"distributed team management":30,"financial content knowledge":29,"open source data management":30,"scanned document processing":30},[377,67,336,136,533,534,172,535,536,537,538,130,539,540,541,542,543,544,545,546,547,548,549,550,551,552,553,554,555,556,557,558,559,560,561,562,563,564,565],"Financial Analytics","Product Management","User Experience Design","Business Knowledge","Leadership","Stakeholder Management","Quantitative Modeling","Automated Solutions","Pattern Recognition","POC Development","Pipeline Development","Deployment","Data Acquisition","Data Cleaning","Data Transformation","Sourcing","Extraction","Pre-processing","Post-processing","Structured Data","Semi-structured Data","Unstructured Data","PDF Processing","Scanned Document Processing","Open Source Data Management","Commercial Data Management","Agile Team Leadership","Technical Articulation","Financial Content Knowledge","Business Processes","Market Trends","C-Suite Interaction","Distributed Team Management",0.5,{"industry":568,"employment_type":598,"expertise_skills":607,"it_skills":666,"salary_currency":727,"processed_working_hours":746},[569,572,576,579,583,586,589,592,595],{"key":570,"label":246,"count":571},"financial services",15,{"key":573,"label":574,"count":575},"insurance","Insurance",13,{"key":577,"label":425,"count":578},"banking",10,{"key":580,"label":581,"count":582},"financial markets infrastructure","Financial Markets Infrastructure",7,{"key":584,"label":585,"count":29},"data provider","Data Provider",{"key":587,"label":588,"count":30},"data","Data",{"key":590,"label":591,"count":103},"wealth management","Wealth Management",{"key":593,"label":594,"count":103},"claims administration","Claims Administration",{"key":596,"label":597,"count":103},"risk management","Risk Management",[599,602,604],{"key":27,"label":600,"count":601},"PERMANENT",32,{"key":507,"label":603,"count":120},"CONTRACT",{"key":605,"label":606,"count":103},"student","STUDENT",[608,610,613,616,618,620,622,625,627,629,632,634,637,639,642,645,647,649,652,655,657,659,661,664],{"key":609,"label":67,"slug":609,"count":5},"feature-engineering",{"key":611,"label":206,"slug":611,"count":612},"machine-learning",21,{"key":614,"label":204,"slug":614,"count":615},"model-monitoring",9,{"key":617,"label":336,"slug":617,"count":615},"predictive-modeling",{"key":619,"label":377,"slug":619,"count":615},"data-science",{"key":621,"label":219,"slug":621,"count":615},"model-deployment",{"key":623,"label":55,"slug":623,"count":624},"model-validation",8,{"key":626,"label":130,"slug":626,"count":624},"data-analysis",{"key":628,"label":136,"slug":628,"count":582},"data-management",{"key":630,"label":631,"slug":630,"count":582},"generative-ai","Generative Ai",{"key":633,"label":166,"slug":633,"count":582},"deep-learning",{"key":635,"label":163,"slug":635,"count":636},"large-language-models",6,{"key":638,"label":538,"slug":638,"count":636},"stakeholder-management",{"key":640,"label":641,"slug":640,"count":636},"mlops","Mlops",{"key":643,"label":644,"slug":643,"count":636},"statistical-modeling","Statistical Modeling",{"key":646,"label":167,"slug":646,"count":636},"statistical-analysis",{"key":648,"label":41,"slug":648,"count":636},"model-governance",{"key":650,"label":266,"slug":650,"count":651},"model-evaluation",5,{"key":653,"label":654,"slug":653,"count":651},"ai-governance","Ai Governance",{"key":656,"label":162,"slug":656,"count":651},"natural-language-processing",{"key":658,"label":164,"slug":658,"count":651},"prompt-engineering",{"key":660,"label":161,"slug":660,"count":29},"data-analytics",{"key":662,"label":663,"slug":662,"count":29},"project-management","Project management",{"key":665,"label":54,"slug":665,"count":29},"model-lifecycle-management",[667,670,673,676,680,682,684,687,688,691,694,697,699,702,705,707,710,712,713,714,716,719,722,725],{"key":668,"label":32,"slug":668,"count":669},"python",33,{"key":671,"label":125,"slug":671,"count":672},"sql",30,{"key":674,"label":675,"slug":674,"count":575},"aws","Aws",{"key":677,"label":678,"slug":677,"count":679},"tensorflow","Tensorflow",11,{"key":510,"label":681,"slug":510,"count":679},"Scikit-Learn",{"key":683,"label":191,"slug":683,"count":679},"r",{"key":685,"label":686,"slug":685,"count":578},"pytorch","Pytorch",{"key":640,"label":641,"slug":640,"count":578},{"key":689,"label":690,"slug":689,"count":624},"ms-azure","MS Azure",{"key":692,"label":693,"slug":692,"count":582},"cicd","Ci\u002FCd",{"key":695,"label":696,"slug":695,"count":636},"sas","Sas",{"key":698,"label":156,"slug":698,"count":636},"git",{"key":700,"label":701,"slug":700,"count":636},"langchain","Langchain",{"key":703,"label":704,"slug":703,"count":651},"pyspark","Pyspark",{"key":706,"label":237,"slug":706,"count":651},"pandas",{"key":708,"label":709,"slug":708,"count":651},"vba","Vba",{"key":711,"label":292,"slug":711,"count":651},"databricks",{"key":630,"label":631,"slug":630,"count":29},{"key":611,"label":206,"slug":611,"count":29},{"key":715,"label":296,"slug":715,"count":29},"terraform",{"key":717,"label":718,"slug":717,"count":30},"llms","Llms",{"key":720,"label":721,"slug":720,"count":30},"numpy","Numpy",{"key":723,"label":724,"slug":723,"count":30},"bigquery","Bigquery",{"key":726,"label":290,"slug":726,"count":30},"docker",[728,730,732,733,734,736,737,739,741,743,744],{"key":187,"label":187,"count":729},12,{"key":731,"label":731,"count":651},"CAD",{"key":117,"label":117,"count":651},{"key":23,"label":23,"count":30},{"key":735,"label":735,"count":30},"EUR",{"key":151,"label":151,"count":120},{"key":738,"label":738,"count":120},"PLN",{"key":740,"label":740,"count":103},"INR",{"key":742,"label":742,"count":103},"MYR",{"key":465,"label":465,"count":103},{"key":745,"label":745,"count":103},"HKD",[747],{"key":26,"label":26,"count":5},{"total":103,"jobs":749},[]]