[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-pandas-global":3,"job-search-\u002Fde-global\u002Fjobs-by-skill\u002Fpandas":4,"skill-page-filters-\u002Fde-global\u002Fjobs-by-skill\u002Fpandas":694,"featured-jobs-\u002Fde-global\u002Fjobs-by-skill\u002Fpandas":887},{},{"total":5,"jobs":6},57,[7,56,100,151,187,228,268,281,327,356,398,440,472,485,508,551,580,614,633,669],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":17,"processed_country_iso_code_gmaps":19,"processed_home_office":21,"processed_salary_min":22,"processed_salary_max":23,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":26,"processed_employment_types":28,"processed_it_skills":29,"processed_it_skills_labels":32,"processed_job_expertise_skills":40,"processed_job_expertise_skills_labels":41,"max_cpc":55,"actual_cpc":55},81879,"internship-data-scientist-wm-allianz-insurance","INTERNSHIP - DATA SCIENTIST (W\u002FM)",null,false,{"name":14,"slug":15,"logo_url":16},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[18],"Paris",[20],"FR","onsite",18000,24000,"EUR","estimated",[27],"FULL_TIME","student",{"git":30,"sql":30,"pandas":31,"python":31,"matplotlib":31,"scikit-learn":31,"generative ai \u002F llm frameworks (rag, agents, evaluation)":30},2,3,[33,34,35,36,37,38,39],"Python","Pandas","scikit-learn","Matplotlib","Git","SQL","Generative AI \u002F LLM frameworks (RAG, agents, evaluation)",{"glm\u002Fgam":30,"statistics":31,"applied r&d":30,"data science":31,"pricing models":30,"machine learning":31,"actuarial science":30,"gradient boosting":30,"calibration methods":30,"ml model monitoring":30,"agentic ai development":30,"genai monitoring and evaluation":30,"frequency and severity modelling":30},[42,43,44,45,46,47,48,49,50,51,52,53,54],"Data Science","Machine Learning","Statistics","Actuarial Science","Pricing Models","Frequency and Severity Modelling","GLM\u002FGAM","Gradient Boosting","Calibration Methods","Agentic AI Development","GenAI Monitoring and Evaluation","ML Model Monitoring","Applied R&D",1,{"id":57,"slug":58,"title":59,"raw_title":11,"is_featured":12,"company":60,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":61,"processed_country_iso_code_gmaps":63,"processed_home_office":65,"processed_salary_min":66,"processed_salary_max":67,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":68,"processed_employment_types":69,"processed_it_skills":70,"processed_it_skills_labels":72,"processed_job_expertise_skills":81,"processed_job_expertise_skills_labels":82,"max_cpc":55,"actual_cpc":55},82003,"data-scientist-fmd-in-pricing-allianz-insurance","Data Scientist (f\u002Fm\u002Fd) in Pricing",{"name":14,"slug":15,"logo_url":16},[62],"Wien",[64],"AT","hybrid",60000,70000,[27],"permanent",{"git":31,"sas":31,"sql":31,"ci\u002Fcd":31,"numpy":71,"pandas":71,"python":71,"pyspark":31,"databricks":31,"scikit-learn":71,"azure synapse":31,"microsoft fabric":31},4,[33,34,73,74,75,76,38,37,77,78,79,80],"NumPy","Scikit-Learn","PySpark","SAS","CI\u002FCD","Databricks","Azure Synapse","Microsoft Fabric",{"etl\u002Felt":71,"data mining":71,"data quality":71,"data modeling":71,"data security":31,"data migration":31,"data pipelines":71,"data governance":71,"data engineering":71,"machine learning":71,"actuarial science":31,"data architecture":71,"dashboard creation":31,"insurance business":31,"tariff development":71,"big data frameworks":31,"product development":31,"stochastic modeling":71,"strategic initiatives":31},[83,84,85,86,87,88,89,90,91,43,92,45,93,94,95,96,97,98,99],"Stochastic Modeling","Tariff Development","Data Architecture","Data Engineering","Data Modeling","Data Pipelines","Data Quality","Data Governance","ETL\u002FELT","Data Mining","Insurance Business","Product Development","Strategic Initiatives","Dashboard Creation","Big Data Frameworks","Data Security","Data Migration",{"id":101,"slug":102,"title":103,"raw_title":11,"is_featured":12,"company":104,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":107,"processed_country_iso_code_gmaps":109,"processed_home_office":21,"processed_salary_min":111,"processed_salary_max":112,"processed_salary_currency":113,"processed_salary_source":25,"processed_working_hours":114,"processed_employment_types":69,"processed_it_skills":115,"processed_it_skills_labels":116,"processed_job_expertise_skills":125,"processed_job_expertise_skills_labels":126,"max_cpc":55,"actual_cpc":55},88181,"ind-lead-engineer-data-hartford-global-services-private-limited-3","IND Lead Engineer, Data",{"name":105,"slug":106,"logo_url":11},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[108],"Hyderabad",[110],"IN",2500000,4000000,"INR",[27],{"git":31,"sql":71,"unix":31,"numpy":71,"pandas":71,"python":71,"pytorch":31,"tensorflow":31,"aws bedrock":31,"scikit-learn":71,"aws sagemaker":31,"google vertex ai":31,"azure ai services":31},[33,38,117,73,35,118,119,37,120,121,122,123,124],"pandas","PyTorch","TensorFlow","Unix","Google Vertex AI","AWS SageMaker","AWS Bedrock","Azure AI Services",{"ocr":31,"data lake":71,"a\u002Fb testing":71,"ai governance":71,"deep learning":71,"pii detection":71,"drift detection":71,"data warehousing":71,"document parsing":71,"knowledge graphs":71,"machine learning":71,"model evaluation":71,"model monitoring":71,"conversational ai":71,"cloud ai platforms":71,"prompt engineering":71,"text normalization":71,"dimensional modeling":71,"statistical modeling":71,"business intelligence":71,"synthetic data generation":71,"insurance domain knowledge":31,"natural language processing":71,"unstructured data processing":71,"retrieval-augmented generation":71},[127,43,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150],"Statistical Modeling","Deep Learning","Natural Language Processing","Business Intelligence","Dimensional Modeling","Data Warehousing","Data Lake","Model Evaluation","Model Monitoring","A\u002FB Testing","Drift Detection","Conversational AI","Retrieval-Augmented Generation","Unstructured Data Processing","Document Parsing","OCR","Text Normalization","PII Detection","Cloud AI Platforms","Insurance Domain Knowledge","AI Governance","Prompt Engineering","Knowledge Graphs","Synthetic Data Generation",{"id":152,"slug":153,"title":154,"raw_title":11,"is_featured":12,"company":155,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":158,"processed_country_iso_code_gmaps":160,"processed_home_office":65,"processed_salary_min":162,"processed_salary_max":163,"processed_salary_currency":164,"processed_salary_source":25,"processed_working_hours":165,"processed_employment_types":69,"processed_it_skills":166,"processed_it_skills_labels":167,"processed_job_expertise_skills":172,"processed_job_expertise_skills_labels":173,"max_cpc":55,"actual_cpc":55},83323,"xva-trader-derivatives-federation-caisses-desjardins","XVA Trader, Derivatives",{"name":156,"slug":157,"logo_url":11},"Federation Caisses Desjardins","federation-caisses-desjardins",[159],"Montréal",[161],"CA",150000,250000,"CAD",[27],{"murex":31,"numpy":71,"scipy":71,"pandas":31,"python":71,"sql server":31,"artificial intelligence tools":31},[33,73,168,169,34,170,171],"SciPy","SQL Server","Murex","Artificial Intelligence Tools",{"statistics":71,"risk management":71,"numerical methods":71,"simulation models":71,"hedging strategies":71,"collateral management":71,"portfolio optimization":71,"quantitative analytics":71,"xva pricing methodologies":71,"financial markets knowledge":71,"regulatory capital frameworks":71,"funding and capital management":71,"model development and governance":71,"otc derivatives valuation and pricing":71},[174,175,176,44,177,178,179,180,181,182,183,184,185,186],"OTC Derivatives Valuation and Pricing","XVA Pricing Methodologies","Regulatory Capital Frameworks","Numerical Methods","Simulation Models","Risk Management","Hedging Strategies","Portfolio Optimization","Collateral Management","Funding and Capital Management","Quantitative Analytics","Financial Markets Knowledge","Model Development and Governance",{"id":188,"slug":189,"title":190,"raw_title":11,"is_featured":12,"company":191,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":194,"processed_country_iso_code_gmaps":196,"processed_home_office":65,"processed_salary_min":198,"processed_salary_max":199,"processed_salary_currency":200,"processed_salary_source":25,"processed_working_hours":201,"processed_employment_types":69,"processed_it_skills":202,"processed_it_skills_labels":203,"processed_job_expertise_skills":209,"processed_job_expertise_skills_labels":210,"max_cpc":55,"actual_cpc":55},86393,"associate-portfolio-analytics-pgim-strategic-capital-group-hybrid-newark-nj-pgim-inc","Associate, Portfolio Analytics | PGIM Strategic Capital Group (Hybrid \u002F Newark, NJ)",{"name":192,"slug":193,"logo_url":11},"PGIM, Inc.","pgim-inc",[195],"Newark",[197],"US",135000,145000,"USD",[27],{"numpy":71,"scipy":71,"pandas":71,"python":71,"ai-based methods":31,"foundation models":31,"transformer technology":31},[33,117,204,205,206,207,208],"numpy","scipy","transformer technology","foundation models","AI-based methods",{"capm":71,"statistics":71,"options theory":71,"private credit":31,"private equity":31,"real estate debt":31,"probability theory":71,"stochastic modeling":71,"structured products":31,"asset-level modeling":71,"quantitative finance":71,"insurance liabilities":31,"macro-factor modeling":71,"fixed income analytics":71,"portfolio optimization":71,"risk factor attribution":71,"macroeconomic frameworks":31,"yield curve construction":71,"asset-liability management":71,"economic scenario generation":71},[83,211,212,181,213,214,44,215,216,217,218,219,220,221,222,223,224,225,226,227],"Economic Scenario Generation","Asset-Liability Management","Quantitative Finance","Probability Theory","Options Theory","Yield Curve Construction","Fixed Income Analytics","CAPM","Macro-Factor Modeling","Asset-Level Modeling","Risk Factor Attribution","Structured Products","Private Credit","Real Estate Debt","Private Equity","Insurance Liabilities","Macroeconomic Frameworks",{"id":229,"slug":230,"title":231,"raw_title":11,"is_featured":12,"company":232,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":235,"processed_country_iso_code_gmaps":236,"processed_home_office":65,"processed_salary_min":237,"processed_salary_max":238,"processed_salary_currency":113,"processed_salary_source":25,"processed_working_hours":239,"processed_employment_types":69,"processed_it_skills":240,"processed_it_skills_labels":241,"processed_job_expertise_skills":252,"processed_job_expertise_skills_labels":253,"max_cpc":55,"actual_cpc":55},84440,"team-lead-gre-operations-invesco-india-private-limited-sez-unit","Team Lead - GRE Operations",{"name":233,"slug":234,"logo_url":11},"Invesco (India) Private Limited - SEZ Unit","invesco-india-private-limited-sez-unit",[108],[110],3000000,5000000,[27],{"r":30,"etl":30,"gis":30,"sql":31,"apis":30,"excel":71,"pandas":30,"python":31,"alteryx":30,"tableau":30,"power bi":31,"powerpoint":31,"power query":30,"machine learning":30},[242,33,38,243,244,245,246,247,43,248,249,34,250,251],"Power BI","Excel","PowerPoint","GIS","Tableau","R","Alteryx","Power Query","APIs","ETL",{"compliance":71,"forecasting":71,"econometrics":71,"data analytics":71,"data governance":71,"data management":71,"client reporting":71,"process improvement":71,"strategic analytics":71,"real estate research":71,"statistical modelling":71,"operational excellence":71,"gis & spatial analytics":71,"marketing presentations":71,"risk & escalation management":71},[254,255,256,257,258,259,260,261,262,90,263,264,265,266,267],"Strategic Analytics","Real Estate Research","Data Analytics","Forecasting","Marketing Presentations","Compliance","Statistical Modelling","Econometrics","Data Management","GIS & Spatial Analytics","Client Reporting","Operational Excellence","Process Improvement","Risk & Escalation Management",{"id":269,"slug":270,"title":103,"raw_title":11,"is_featured":12,"company":271,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":272,"processed_country_iso_code_gmaps":273,"processed_home_office":65,"processed_salary_min":237,"processed_salary_max":238,"processed_salary_currency":113,"processed_salary_source":25,"processed_working_hours":274,"processed_employment_types":69,"processed_it_skills":275,"processed_it_skills_labels":276,"processed_job_expertise_skills":277,"processed_job_expertise_skills_labels":278,"max_cpc":55,"actual_cpc":55},88179,"ind-lead-engineer-data-hartford-global-services-private-limited-2",{"name":105,"slug":106,"logo_url":11},[108],[110],[27],{"git":31,"sql":71,"unix":31,"numpy":71,"pandas":71,"python":71,"pytorch":31,"tensorflow":31,"aws bedrock":31,"scikit-learn":71,"aws sagemaker":31,"google vertex ai":31,"azure ai services":31},[33,38,117,73,35,118,119,37,120,121,122,123,124],{"ocr":31,"data lake":71,"a\u002Fb testing":71,"ai governance":31,"deep learning":71,"generative ai":71,"pii detection":31,"data warehouse":71,"drift detection":71,"knowledge graphs":31,"machine learning":71,"conversational ai":71,"prompt engineering":71,"dimensional modeling":71,"statistical modeling":71,"business intelligence":71,"insurance domain knowledge":31,"natural language processing":71,"unstructured data processing":71,"retrieval-augmented generation":71},[127,43,128,129,130,131,279,133,136,137,138,139,140,142,144,146,280,148,149,147],"Data Warehouse","Generative AI",{"id":282,"slug":283,"title":284,"raw_title":11,"is_featured":12,"company":285,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":286,"processed_country_iso_code_gmaps":287,"processed_home_office":65,"processed_salary_min":111,"processed_salary_max":112,"processed_salary_currency":113,"processed_salary_source":25,"processed_working_hours":288,"processed_employment_types":69,"processed_it_skills":289,"processed_it_skills_labels":290,"processed_job_expertise_skills":313,"processed_job_expertise_skills_labels":314,"max_cpc":55,"actual_cpc":55},88194,"ind-staff-software-engineer-hartford-global-services-private-limited-9","IND Staff Software Engineer",{"name":105,"slug":106,"logo_url":11},[108],[110],[27],{"git":31,"sql":71,"w&b":31,"hnsw":31,"unix":31,"numpy":71,"ragas":31,"mlflow":31,"pandas":71,"python":71,"tabula":31,"camelot":31,"pymupdf":31,"pytorch":31,"trulens":31,"deepeval":31,"layoutlm":31,"pgvector":31,"postgres":31,"ratabase":30,"langchain":31,"langgraph":31,"tesseract":31,"duck creek":30,"llamaindex":31,"opensearch":31,"pdfplumber":31,"tensorflow":31,"apache tika":31,"aws bedrock":31,"scikit-learn":71,"aws sagemaker":31,"google vertex ai":31,"vector databases":31,"azure ai services":31},[33,117,73,35,38,118,119,37,120,121,122,123,124,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312],"Duck Creek","Ratabase","vector databases","OpenSearch","pgvector","Postgres","HNSW","RAGAS","TruLens","DeepEval","PyMuPDF","pdfplumber","Apache Tika","Tesseract","LayoutLM","Camelot","Tabula","LangChain","LangGraph","LlamaIndex","MLflow","W&B",{"nlp":71,"mlops":71,"document ai":31,"agent design":71,"deep learning":71,"generative ai":71,"responsible ai":31,"diffusion models":31,"fine-tuning llms":31,"machine learning":71,"model evaluation":71,"model monitoring":71,"cloud ai platforms":71,"prompt engineering":71,"statistical modeling":71,"regulatory compliance":31,"orchestration frameworks":31,"embedding model selection":31,"synthetic data generation":31,"knowledge base engineering":31,"unstructured data processing":71,"retrieval-augmented generation (rag)":71},[127,43,128,134,135,140,315,280,316,148,317,318,145,319,320,150,321,322,323,324,325,326],"NLP","Retrieval-Augmented Generation (RAG)","Agent Design","MLOps","Regulatory Compliance","Responsible AI","Knowledge Base Engineering","Document AI","Embedding Model Selection","Orchestration Frameworks","Fine-tuning LLMs","Diffusion Models",{"id":328,"slug":329,"title":330,"raw_title":11,"is_featured":12,"company":331,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":332,"processed_country_iso_code_gmaps":335,"processed_home_office":65,"processed_salary_min":67,"processed_salary_max":336,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":337,"processed_employment_types":69,"processed_it_skills":339,"processed_it_skills_labels":340,"processed_job_expertise_skills":349,"processed_job_expertise_skills_labels":350,"max_cpc":55,"actual_cpc":55},81803,"ai-automation-specialist2881-allianz-insurance","AI Automation Specialist_2881",{"name":14,"slug":15,"logo_url":16},[333,334],"Pune","Trivandrum",[110],100000,[27,338],"PART_TIME",{"sql":31,"faiss":31,"numpy":31,"crewai":71,"pandas":31,"python":71,"autogen":71,"grafana":30,"chromadb":31,"pinecone":31,"power bi":30,"rest api":71,"weaviate":31,"langchain":71,"langgraph":71},[33,38,308,309,341,342,343,344,345,346,347,34,73,348,242],"AutoGen","CrewAI","REST API","Pinecone","Weaviate","FAISS","ChromaDB","Grafana",{"ci\u002Fcd":31,"devsecops":31,"rag pipelines":71,"data analytics":31,"llm integration":71,"agentic ai development":71,"ai security & guardrails":71,"cybersecurity domain awareness":31},[51,351,352,353,256,354,355,77],"LLM Integration","RAG Pipelines","AI Security & Guardrails","Cybersecurity Domain Awareness","DevSecOps",{"id":357,"slug":358,"title":359,"raw_title":11,"is_featured":12,"company":360,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":364,"processed_country_iso_code_gmaps":365,"processed_home_office":21,"processed_salary_min":367,"processed_salary_max":368,"processed_salary_currency":369,"processed_salary_source":25,"processed_working_hours":370,"processed_employment_types":69,"processed_it_skills":371,"processed_it_skills_labels":372,"processed_job_expertise_skills":374,"processed_job_expertise_skills_labels":375,"max_cpc":55,"actual_cpc":55},87130,"data-analytics-sr-leader-banco-santander-brasil-sa","Data & Analytics Sr Leader",{"name":361,"slug":362,"logo_url":363},"Banco Santander (Brasil) S.A.","banco-santander-brasil-sa","\u002Fimages\u002Flogos\u002Fsantander-logo-2018.svg",[],[366],"BR",240000,360000,"BRL",[27],{"git":31,"sql":71,"numpy":71,"spark":71,"pandas":71,"python":71,"pyspark":71,"databricks":71,"scikit-learn":71},[33,38,373,75,78,37,34,73,74],"Spark",{"gam":71,"glm":71,"ifrs 9":71,"pd modeling":71,"ead modeling":71,"lgd modeling":71,"stress testing":71,"machine learning":71,"model monitoring":71,"model validation":71,"stage allocation":71,"survival analysis":71,"people development":71,"project management":71,"agile methodologies":71,"logistic regression":71,"regulatory modeling":71,"resolução cmn 4.966":71,"credit risk management":71,"expected credit loss (ecl)":71,"generative ai (genai and llms)":71,"audit and regulatory compliance":71,"backtesting and model calibration":71,"applied statistics for risk modeling":71},[376,377,378,379,380,381,382,383,384,385,386,387,388,389,43,390,391,392,393,135,394,395,396,397],"IFRS 9","Resolução CMN 4.966","PD Modeling","LGD Modeling","EAD Modeling","Expected Credit Loss (ECL)","Stage Allocation","Stress Testing","Applied Statistics for Risk Modeling","Logistic Regression","Survival Analysis","GLM","GAM","Backtesting and Model Calibration","Generative AI (GenAI and LLMs)","Credit Risk Management","Regulatory Modeling","Model Validation","Audit and Regulatory Compliance","Agile Methodologies","Project Management","People Development",{"id":399,"slug":400,"title":401,"raw_title":11,"is_featured":12,"company":402,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":406,"processed_country_iso_code_gmaps":408,"processed_home_office":65,"processed_salary_min":336,"processed_salary_max":162,"processed_salary_currency":200,"processed_salary_source":25,"processed_working_hours":409,"processed_employment_types":69,"processed_it_skills":410,"processed_it_skills_labels":411,"processed_job_expertise_skills":425,"processed_job_expertise_skills_labels":426,"max_cpc":55,"actual_cpc":55},80416,"software-engineer-american-century-services-llc-3","Software Engineer",{"name":403,"slug":404,"logo_url":405},"American Century Services, LLC","american-century-services-llc","https:\u002F\u002Fupload.wikimedia.org\u002Fwikipedia\u002Fcommons\u002Fthumb\u002Fb\u002Fbd\u002FAmerican_Century_Investments_Logo.svg\u002F320px-American_Century_Investments_Logo.svg.png",[407],"Kansas City",[197],[27],{"sql":71,"nosql":31,"numpy":71,"aws s3":71,"pandas":71,"python":71,"aws sns":31,"aws sqs":31,"ibm db2":31,"aws glue":71,"postgresql":31,"sql server":31,"aws lambdas":71,"apache spark":31,"data modeling":71,"java spring boot":30,"java spring batch":30,"aws step functions":71,"agile methodologies":31,"software design patterns":71},[33,34,73,412,413,414,415,416,417,418,38,419,169,420,421,422,423,87,424,395],"AWS S3","AWS Step Functions","AWS Lambdas","AWS SNS","AWS SQS","AWS Glue","Apache Spark","NoSQL","PostgreSQL","IBM DB2","Java Spring Batch","Java Spring Boot","Software Design Patterns",{"data analysis":71,"etl pipelines":71,"microservices":71,"risk management":31,"application support":71,"investment analytics":31,"portfolio operations":31,"software engineering":71,"investment management":31,"investment operations":31,"testing methodologies":31,"application development":71,"technical documentation":71,"message driven applications":71},[427,428,429,430,431,432,433,179,434,435,436,437,438,439],"Application Development","Application Support","Investment Management","ETL Pipelines","Data Analysis","Microservices","Message Driven Applications","Investment Analytics","Investment Operations","Portfolio Operations","Software Engineering","Testing Methodologies","Technical Documentation",{"id":441,"slug":442,"title":443,"raw_title":11,"is_featured":12,"company":444,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":447,"processed_country_iso_code_gmaps":449,"processed_home_office":65,"processed_salary_min":451,"processed_salary_max":452,"processed_salary_currency":453,"processed_salary_source":25,"processed_working_hours":454,"processed_employment_types":69,"processed_it_skills":455,"processed_it_skills_labels":456,"processed_job_expertise_skills":464,"processed_job_expertise_skills_labels":465,"max_cpc":55,"actual_cpc":55},84545,"data-scientist-sales-analytics-commerzbank-pl","Data Scientist - Sales Analytics",{"name":445,"slug":446,"logo_url":11},"COMMERZBANK PL","commerzbank-pl",[448],"Łódź",[450],"PL",180000,300000,"PLN",[27],{"sql":71,"pandas":71,"python":71,"bigquery":31,"langchain":31,"terraform":31,"agentic ai":71,"generative ai":71,"cloud composer":31,"machine learning":71,"google cloud platform":31,"google agent development kit":31,"gemini enterprise agent platform":31},[33,38,457,458,459,460,461,43,280,462,308,463,34],"Google Cloud Platform","BigQuery","Cloud Composer","Gemini Enterprise Agent Platform","Terraform","Agentic AI","Google Agent Development Kit",{"data science":71,"ai governance":71,"data analysis":71,"model deployment":71,"model monitoring":71,"model validation":71,"pricing solutions":31,"data preprocessing":71,"model optimization":71,"feature engineering":71,"stakeholder management":71,"technical documentation":71},[42,466,135,467,393,468,469,431,470,439,147,471],"Model Deployment","Model Optimization","Data Preprocessing","Feature Engineering","Stakeholder Management","Pricing Solutions",{"id":473,"slug":474,"title":475,"raw_title":11,"is_featured":12,"company":476,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":477,"processed_country_iso_code_gmaps":478,"processed_home_office":65,"processed_salary_min":451,"processed_salary_max":452,"processed_salary_currency":453,"processed_salary_source":25,"processed_working_hours":479,"processed_employment_types":69,"processed_it_skills":480,"processed_it_skills_labels":481,"processed_job_expertise_skills":482,"processed_job_expertise_skills_labels":483,"max_cpc":55,"actual_cpc":55},84546,"data-scientist-with-german-sales-analytics-commerzbank-pl","Data Scientist with German - Sales Analytics",{"name":445,"slug":446,"logo_url":11},[448],[450],[27],{"sql":71,"pandas":71,"python":71,"bigquery":31,"langchain":31,"terraform":31,"cloud composer":31,"google cloud platform":31,"google agent development kit":31,"gemini enterprise agent platform":31},[33,38,34,457,458,459,460,461,308,463],{"agentic ai":71,"data science":71,"ai governance":31,"deep learning":71,"generative ai":71,"machine learning":71,"model deployment":71,"model monitoring":71,"model validation":71,"data preprocessing":71,"model optimization":71,"feature engineering":71,"reinforcement learning":71,"stakeholder management":71,"technical documentation":31},[42,43,128,484,280,462,468,469,466,135,467,393,439,147,470],"Reinforcement Learning",{"id":486,"slug":487,"title":488,"raw_title":11,"is_featured":12,"company":489,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":492,"processed_country_iso_code_gmaps":494,"processed_home_office":21,"processed_salary_min":495,"processed_salary_max":496,"processed_salary_currency":200,"processed_salary_source":25,"processed_working_hours":497,"processed_employment_types":69,"processed_it_skills":498,"processed_it_skills_labels":499,"processed_job_expertise_skills":501,"processed_job_expertise_skills_labels":502,"max_cpc":55,"actual_cpc":55},88236,"quantitative-risk-management-senior-associate-tiaa","Quantitative Risk Management Senior Associate",{"name":490,"slug":491,"logo_url":11},"TIAA","tiaa",[493],"Frisco",[197],86100,129000,[27],{"sql":31,"numpy":31,"pandas":31,"python":31,"scikit-learn":31,"ai and generative ai technologies":31},[38,33,117,73,35,500],"AI and Generative AI technologies",{"statistics":31,"data analysis":31,"financial acumen":31,"model validation":31,"financial modeling":31,"advanced mathematics":31,"market\u002Findustry dynamics":31,"quantitative risk management":31},[503,393,504,431,44,505,506,507],"Quantitative Risk Management","Financial Modeling","Advanced Mathematics","Financial Acumen","Market\u002FIndustry Dynamics",{"id":509,"slug":510,"title":511,"raw_title":11,"is_featured":12,"company":512,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":515,"processed_country_iso_code_gmaps":517,"processed_home_office":21,"processed_salary_min":162,"processed_salary_max":518,"processed_salary_currency":200,"processed_salary_source":25,"processed_working_hours":519,"processed_employment_types":69,"processed_it_skills":520,"processed_it_skills_labels":521,"processed_job_expertise_skills":528,"processed_job_expertise_skills_labels":529,"max_cpc":55,"actual_cpc":55},83029,"associate-loans-strat-group-strategic-analytics-5006-deutsche-bank-securities-inc","Associate, Loans Strat, Group Strategic Analytics",{"name":513,"slug":514,"logo_url":11},"5006 Deutsche Bank Securities Inc.","5006-deutsche-bank-securities-inc",[516],"New York",[197],163000,[27],{"c++":31,"git":31,"sql":71,"html":31,"numpy":71,"pandas":71,"python":71,"javascript":31,"typescript":31,"oracle apis":31,"ci\u002Fcd pipelines":31},[33,34,73,38,522,523,524,525,526,37,527],"C++","Oracle APIs","HTML","JavaScript","TypeScript","CI\u002FCD pipelines",{"data ingestion":71,"risk measurement":71,"data model design":71,"index computation":71,"financial valuation":71,"root cause analysis":71,"front-end interfaces":31,"web pages development":31,"quantitative analytics":71,"accrual-based analytics":71,"performance attribution":71,"valuation methodologies":71,"automated workflow tools":71,"relational database design":71,"large-scale data processing":71,"data pipeline implementation":71,"production reporting systems":71,"profit and loss calculations":71,"financial calculation engines":71,"portfolio-level risk measurement":71,"multi-asset financial instrument analytics":71},[530,531,532,533,534,535,536,537,538,539,540,541,542,543,544,545,546,547,548,549,550],"Valuation methodologies","Quantitative analytics","Financial valuation","Risk measurement","Large-scale data processing","Production reporting systems","Root cause analysis","Financial calculation engines","Index computation","Performance attribution","Accrual-based analytics","Relational database design","Multi-asset financial instrument analytics","Portfolio-level risk measurement","Automated workflow tools","Profit and loss calculations","Data ingestion","Data model design","Data pipeline implementation","Front-end interfaces","Web pages development",{"id":552,"slug":553,"title":554,"raw_title":11,"is_featured":12,"company":555,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":559,"processed_country_iso_code_gmaps":561,"processed_home_office":65,"processed_salary_min":562,"processed_salary_max":563,"processed_salary_currency":453,"processed_salary_source":25,"processed_working_hours":564,"processed_employment_types":69,"processed_it_skills":565,"processed_it_skills_labels":566,"processed_job_expertise_skills":570,"processed_job_expertise_skills_labels":571,"max_cpc":55,"actual_cpc":55},84392,"compliance-data-methodology-ing-hubs-bv-sp-z-oo-oddzia-w-polsce","Compliance Data Methodology",{"name":556,"slug":557,"logo_url":558},"ING Hubs B.V. sp. z o.o. Oddzial w Polsce","ing-hubs-bv-sp-z-oo-oddzial-w-polsce","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",[560],"Warszawa",[450],156000,216000,[27],{"dash":71,"numpy":71,"cognos":71,"pandas":71,"python":71,"power bi":71,"tensorflow":71,"scikit-learn":71},[33,34,73,567,119,568,242,569],"Scikit-learn","Dash","Cognos",{"data literacy":71,"data ingestion":71,"digitalisation":71,"data governance":71,"data management":71,"data architecture":71,"rapid prototyping":71,"data visualisation":71,"project management":71,"dashboard development":71,"ai and machine learning":71,"compliance risk management":71},[262,90,85,572,573,574,575,576,577,396,578,579],"Data Ingestion","Compliance Risk Management","AI and Machine Learning","Rapid Prototyping","Dashboard Development","Data Visualisation","Data Literacy","Digitalisation",{"id":581,"slug":582,"title":583,"raw_title":11,"is_featured":12,"company":584,"raw_hiringOrganization_logo_url":587,"processed_city_gmaps":588,"processed_country_iso_code_gmaps":590,"processed_home_office":65,"processed_salary_min":22,"processed_salary_max":23,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":592,"processed_employment_types":28,"processed_it_skills":593,"processed_it_skills_labels":594,"processed_job_expertise_skills":599,"processed_job_expertise_skills_labels":600,"max_cpc":55,"actual_cpc":55},89109,"werkstudent-data-science-mit-python-databricks-mwd-arag-se","Werkstudent Data Science mit Python & Databricks (m\u002Fw\u002Fd)",{"name":585,"slug":586,"logo_url":587},"ARAG SE","arag-se","https:\u002F\u002Fwww.karriere-bei-arag.de\u002Fuploads\u002F726\u002Fsettings\u002Fcreators\u002Farag-zentrale-306-606c6ea26a090.png",[589],"Düsseldorf",[591],"DE",[338],{"git":31,"sql":71,"azure":71,"ci\u002Fcd":31,"nosql":31,"numpy":71,"pandas":71,"python":71,"pyspark":71,"azure ml":31,"databricks":71,"scikit-learn":71,"azure data factory":31,"azure sql data warehouse":31},[33,78,595,38,419,37,77,34,73,75,35,596,597,598],"Azure","Azure Data Factory","Azure SQL Data Warehouse","Azure ML",{"dataops":71,"finance":31,"security":31,"clustering":31,"controlling":31,"data quality":71,"data analysis":71,"classification":31,"data engineering":71,"data integration":71,"machine learning":71,"model deployment":31,"etl\u002Felt pipelines":71,"data visualization":31,"predictive analytics":71,"time series analysis":31,"performance optimization":31,"scalable data architectures":31},[601,602,89,431,603,43,604,605,606,607,466,86,608,609,610,611,612,613],"ETL\u002FELT Pipelines","Data Integration","Data Visualization","Predictive Analytics","Time Series Analysis","Classification","Clustering","DataOps","Scalable Data Architectures","Performance Optimization","Security","Finance","Controlling",{"id":615,"slug":616,"title":617,"raw_title":11,"is_featured":12,"company":618,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":619,"processed_country_iso_code_gmaps":620,"processed_home_office":21,"processed_salary_min":621,"processed_salary_max":622,"processed_salary_currency":113,"processed_salary_source":25,"processed_working_hours":623,"processed_employment_types":69,"processed_it_skills":624,"processed_it_skills_labels":625,"processed_job_expertise_skills":626,"processed_job_expertise_skills_labels":627,"max_cpc":55,"actual_cpc":55},78798,"ind-applied-ai-scientist-hartford-global-services-private-limited","IND Applied AI Scientist",{"name":105,"slug":106,"logo_url":11},[108],[110],2000000,3500000,[27],{"git":31,"sql":71,"unix":31,"numpy":71,"pandas":71,"python":71,"pytorch":31,"ratabase":30,"duck creek":30,"tensorflow":31,"aws bedrock":31,"scikit-learn":71,"aws sagemaker":31,"google vertex ai":31,"azure ai services":31},[33,117,73,35,38,118,119,37,120,121,122,123,124,291,292],{"nlp":71,"ocr":31,"rag":71,"embeddings":71,"a\u002Fb testing":71,"ai governance":31,"deep learning":71,"generative ai":71,"pii detection":31,"drift detection":71,"document parsing":31,"machine learning":71,"model deployment":71,"model evaluation":71,"model monitoring":71,"experiment design":71,"cloud ai platforms":31,"prompt engineering":71,"text normalization":31,"retrieval strategies":71,"statistical modeling":71,"production integration":71,"unstructured data processing":71},[127,43,128,134,135,628,136,137,140,141,142,143,144,315,280,629,630,148,631,147,145,466,632],"Experiment Design","Embeddings","Retrieval Strategies","RAG","Production Integration",{"id":634,"slug":635,"title":636,"raw_title":11,"is_featured":12,"company":637,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":640,"processed_country_iso_code_gmaps":642,"processed_home_office":21,"processed_salary_min":643,"processed_salary_max":111,"processed_salary_currency":113,"processed_salary_source":25,"processed_working_hours":644,"processed_employment_types":69,"processed_it_skills":645,"processed_it_skills_labels":646,"processed_job_expertise_skills":648,"processed_job_expertise_skills_labels":649,"max_cpc":55,"actual_cpc":55},75122,"data-scientist-refinitiv-india-shared-services-private-limited","Data Scientist",{"name":638,"slug":639,"logo_url":11},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[641],"Bengaluru",[110],1500000,[27],{"r":31,"aws":31,"git":31,"sql":31,"azure":31,"mlops":31,"numpy":71,"pandas":71,"python":71,"pytorch":31,"tensorflow":31,"scikit-learn":71,"ci\u002Fcd pipelines":31},[33,247,38,34,73,567,119,118,37,527,647,595,318],"AWS",{"nlp":71,"llms":71,"statistics":71,"web scraping":31,"deep learning":71,"lseg datasets":31,"rag workflows":71,"data analytics":71,"cloud platforms":31,"coding standards":31,"entity extraction":31,"data preprocessing":31,"financial services":31,"investment banking":31,"refinitiv datasets":31,"data postprocessing":31,"feature engineering":71,"predictive modeling":71,"relational databases":71,"data management tools":31,"statistical programming":71},[650,651,652,315,653,654,655,44,656,657,658,659,660,661,662,663,664,665,666,667,668],"Data analytics","Feature engineering","Predictive modeling","LLMs","RAG workflows","Deep learning","Relational databases","Statistical programming","Data management tools","Financial services","Investment banking","Refinitiv datasets","LSEG datasets","Web scraping","Entity extraction","Data preprocessing","Data postprocessing","Cloud platforms","Coding standards",{"id":670,"slug":671,"title":672,"raw_title":11,"is_featured":12,"company":673,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":677,"processed_country_iso_code_gmaps":679,"processed_home_office":65,"processed_salary_min":680,"processed_salary_max":681,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":682,"processed_employment_types":28,"processed_it_skills":683,"processed_it_skills_labels":684,"processed_job_expertise_skills":686,"processed_job_expertise_skills_labels":687,"max_cpc":55,"actual_cpc":693},79875,"studentische-aushilfe-mwd-kontext-rv-versicherung","Studentische Aushilfe (m\u002Fw\u002Fd) KontExt",{"name":674,"slug":675,"logo_url":676},"R+V Versicherung","rv-versicherung","https:\u002F\u002Fupload.wikimedia.org\u002Fwikipedia\u002Fcommons\u002Fthumb\u002Fb\u002Fb6\u002FR%2BV-Logo.svg\u002F330px-R%2BV-Logo.svg.png",[678],"Wiesbaden",[591],12000,15000,[338],{"sql":30,"numpy":30,"django":30,"pandas":30,"python":31,"scikit-learn":30},[33,38,685,117,204,35],"Django",{"databases":30,"algorithms":30,"statistics":30,"data science":30,"data pipelines":30,"model tracking":30,"permission management":30,"reproducible pipelines":30},[42,44,688,689,88,690,691,692],"Algorithms","Databases","Permission Management","Model Tracking","Reproducible Pipelines",0.5,{"industry":695,"employment_type":736,"expertise_skills":743,"it_skills":803,"salary_currency":868,"processed_working_hours":883},[696,700,704,708,712,715,718,721,724,727,730,733],{"key":697,"label":698,"count":699},"financial services","Financial Services",21,{"key":701,"label":702,"count":703},"banking","Banking",16,{"key":705,"label":706,"count":707},"insurance","Insurance",15,{"key":709,"label":710,"count":711},"financial markets infrastructure","Financial Markets Infrastructure",7,{"key":713,"label":714,"count":71},"data","Data",{"key":716,"label":717,"count":71},"asset management","Asset Management",{"key":719,"label":720,"count":31},"data provider","Data Provider",{"key":722,"label":723,"count":30},"financial advisory","Financial Advisory",{"key":725,"label":726,"count":30},"technology solutions","Technology Solutions",{"key":728,"label":729,"count":55},"fund administration","Fund Administration",{"key":731,"label":732,"count":55},"middle office","Middle Office",{"key":734,"label":735,"count":55},"digital banking","Digital Banking",[737,740],{"key":69,"label":738,"count":739},"PERMANENT",52,{"key":28,"label":741,"count":742},"STUDENT",5,[744,747,749,752,754,757,760,762,764,768,770,772,774,776,778,780,784,786,789,792,794,796,798,801],{"key":745,"label":43,"slug":745,"count":746},"machine-learning",31,{"key":748,"label":431,"slug":748,"count":707},"data-analysis",{"key":750,"label":469,"slug":750,"count":751},"feature-engineering",11,{"key":753,"label":128,"slug":753,"count":751},"deep-learning",{"key":755,"label":135,"slug":755,"count":756},"model-monitoring",10,{"key":758,"label":42,"slug":758,"count":759},"data-science",9,{"key":761,"label":256,"slug":761,"count":759},"data-analytics",{"key":763,"label":466,"slug":763,"count":759},"model-deployment",{"key":765,"label":766,"slug":765,"count":767},"nlp","Nlp",8,{"key":769,"label":603,"slug":769,"count":767},"data-visualization",{"key":771,"label":44,"slug":771,"count":767},"statistics",{"key":773,"label":148,"slug":773,"count":711},"prompt-engineering",{"key":775,"label":134,"slug":775,"count":711},"model-evaluation",{"key":777,"label":393,"slug":777,"count":711},"model-validation",{"key":779,"label":86,"slug":779,"count":711},"data-engineering",{"key":781,"label":782,"slug":781,"count":783},"generative-ai","Generative Ai",6,{"key":785,"label":88,"slug":785,"count":783},"data-pipelines",{"key":787,"label":788,"slug":787,"count":783},"project-management","Project management",{"key":790,"label":791,"slug":790,"count":783},"mlops","Mlops",{"key":793,"label":395,"slug":793,"count":783},"agile-methodologies",{"key":795,"label":127,"slug":795,"count":783},"statistical-modeling",{"key":797,"label":90,"slug":797,"count":742},"data-governance",{"key":799,"label":800,"slug":799,"count":742},"entity-extraction","Entity Extraction",{"key":802,"label":432,"slug":802,"count":742},"microservices",[804,806,807,810,813,815,818,821,825,828,831,835,838,841,844,846,849,851,854,855,856,859,862,865],{"key":805,"label":33,"slug":805,"count":5},"python",{"key":117,"label":34,"slug":117,"count":5},{"key":204,"label":808,"slug":204,"count":809},"Numpy",45,{"key":811,"label":38,"slug":811,"count":812},"sql",43,{"key":35,"label":74,"slug":35,"count":814},34,{"key":816,"label":37,"slug":816,"count":817},"git",22,{"key":819,"label":820,"slug":819,"count":699},"pytorch","Pytorch",{"key":822,"label":823,"slug":822,"count":824},"tensorflow","Tensorflow",18,{"key":826,"label":827,"slug":826,"count":824},"aws","Aws",{"key":829,"label":830,"slug":829,"count":703},"ms-azure","MS Azure",{"key":832,"label":833,"slug":832,"count":834},"cicd","Ci\u002FCd",12,{"key":836,"label":837,"slug":836,"count":756},"langchain","Langchain",{"key":839,"label":840,"slug":839,"count":756},"pyspark","Pyspark",{"key":842,"label":843,"slug":842,"count":756},"ms-powerbi","MS PowerBI",{"key":845,"label":247,"slug":845,"count":756},"r",{"key":847,"label":848,"slug":847,"count":759},"docker","Docker",{"key":850,"label":78,"slug":850,"count":767},"databricks",{"key":852,"label":853,"slug":852,"count":711},"kubernetes","Kubernetes",{"key":745,"label":43,"slug":745,"count":711},{"key":790,"label":791,"slug":790,"count":711},{"key":857,"label":858,"slug":857,"count":783},"nosql","Nosql",{"key":860,"label":861,"slug":860,"count":783},"aws-bedrock","Aws Bedrock",{"key":863,"label":864,"slug":863,"count":783},"keras","Keras",{"key":866,"label":867,"slug":866,"count":783},"github","Github",[869,870,871,872,873,874,876,878,880,881],{"key":24,"label":24,"count":707},{"key":113,"label":113,"count":834},{"key":200,"label":200,"count":783},{"key":164,"label":164,"count":783},{"key":453,"label":453,"count":742},{"key":875,"label":875,"count":742},"PHP",{"key":877,"label":877,"count":71},"SGD",{"key":879,"label":879,"count":30},"MYR",{"key":369,"label":369,"count":55},{"key":882,"label":882,"count":55},"GBP",[884,886],{"key":27,"label":27,"count":885},55,{"key":338,"label":338,"count":71},{"total":55,"jobs":888},[889],{"id":890,"slug":891,"title":892,"raw_title":11,"is_featured":893,"company":894,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":898,"processed_country_iso_code_gmaps":900,"processed_home_office":901,"processed_salary_min":902,"processed_salary_max":903,"processed_salary_currency":24,"processed_salary_source":11,"processed_working_hours":904,"processed_employment_types":738,"processed_it_skills":906,"processed_it_skills_labels":11,"processed_job_expertise_skills":907,"processed_job_expertise_skills_labels":908,"max_cpc":914,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":895,"slug":896,"logo_url":897},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[899],"Frankfurt am Main",[591],"HYBRID",45000,65000,[905],"full_time",{},{"Financial Analysis":31,"Regulatory Compliance":31,"New Customer Acquisition":31,"Private Banking Advisory":31,"Banking Products Knowledge":31,"Customer Relationship Management":31},[909,910,911,319,912,913],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Customer Relationship Management","New Customer Acquisition",0.8]