[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-process-reengineering-in":3,"job-search-\u002Fen-in\u002Fjobs-by-expertise\u002Fprocess-reengineering":4,"expertise-filters-\u002Fen-in\u002Fjobs-by-expertise\u002Fprocess-reengineering":56,"featured-jobs-\u002Fen-in\u002Fjobs-by-expertise\u002Fprocess-reengineering":115},{},{"total":5,"jobs":6},1,[7],{"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":42,"processed_job_expertise_skills_labels":44,"max_cpc":5,"actual_cpc":55},75324,"senior-manager-data-scientist-amvc-mg-global-services","Senior Manager - Data Scientist (AMVC)",null,false,{"name":14,"slug":15,"logo_url":11},"M&G Global Services","mg-global-services",[17],"Mumbai",[19],"IN","onsite",3000000,5000000,"INR","estimated",[26],"FULL_TIME","permanent",{"sql":29,"mlops":29,"devops":29,"github":29,"pandas":30,"python":30,"pyspark":29,"pytorch":29,"databricks":29,"scikit-learn":30},3,4,[32,33,34,35,36,37,38,39,40,41],"Python","SQL","PySpark","Databricks","GitHub","DevOps","pandas","scikit-learn","PyTorch","MLOps",{"control design":29,"data preparation":30,"machine learning":30,"model validation":30,"actuarial processes":43,"audit documentation":29,"feature engineering":30,"predictive modeling":30,"process reengineering":29,"financial data analysis":29},2,[45,46,47,48,49,50,51,52,53,54],"Predictive Modeling","Machine Learning","Model Validation","Feature Engineering","Data Preparation","Financial Data Analysis","Actuarial Processes","Process Reengineering","Control Design","Audit Documentation",0.3,{"industry":57,"employment_type":61,"expertise_skills":64,"it_skills":85,"salary_currency":111,"processed_working_hours":113},[58],{"key":59,"label":60,"count":5},"financial services","Financial Services",[62],{"key":27,"label":63,"count":5},"PERMANENT",[65,67,69,71,73,75,77,79,81,83],{"key":66,"label":51,"slug":66,"count":5},"actuarial-processes",{"key":68,"label":54,"slug":68,"count":5},"audit-documentation",{"key":70,"label":53,"slug":70,"count":5},"control-design",{"key":72,"label":49,"slug":72,"count":5},"data-preparation",{"key":74,"label":48,"slug":74,"count":5},"feature-engineering",{"key":76,"label":50,"slug":76,"count":5},"financial-data-analysis",{"key":78,"label":46,"slug":78,"count":5},"machine-learning",{"key":80,"label":47,"slug":80,"count":5},"model-validation",{"key":82,"label":45,"slug":82,"count":5},"predictive-modeling",{"key":84,"label":52,"slug":84,"count":5},"process-reengineering",[86,88,91,94,97,99,102,104,107,109],{"key":87,"label":35,"slug":87,"count":5},"databricks",{"key":89,"label":90,"slug":89,"count":5},"devops","Devops",{"key":92,"label":93,"slug":92,"count":5},"github","Github",{"key":95,"label":96,"slug":95,"count":5},"mlops","Mlops",{"key":38,"label":98,"slug":38,"count":5},"Pandas",{"key":100,"label":101,"slug":100,"count":5},"pyspark","Pyspark",{"key":103,"label":32,"slug":103,"count":5},"python",{"key":105,"label":106,"slug":105,"count":5},"pytorch","Pytorch",{"key":39,"label":108,"slug":39,"count":5},"Scikit-Learn",{"key":110,"label":33,"slug":110,"count":5},"sql",[112],{"key":23,"label":23,"count":5},[114],{"key":26,"label":26,"count":5},{"total":116,"jobs":117},0,[]]