{"id":1671,"date":"2019-05-27T17:44:23","date_gmt":"2019-05-27T15:44:23","guid":{"rendered":"https:\/\/ecole.ensai.fr\/?page_id=1671"},"modified":"2025-03-13T09:10:11","modified_gmt":"2025-03-13T08:10:11","slug":"le-marketing-et-la-connaissance-client","status":"publish","type":"page","link":"https:\/\/ensai.fr\/en\/le-marketing-et-la-connaissance-client\/","title":{"rendered":"Marketing and Client Insight"},"content":{"rendered":"<h2>Quantitative marketing<\/h2>\n<p><b>Data Scientists with a specialization in Marketing are highly sought after by businesses struggling to make sense of the avalanche of unstructured, heterogeneous, big data created in today&#8217;s digital economy.<\/b><\/p>\n<p>The multifaceted, detailed nature of data created by the digital universe is pushing companies to acquire highly-valued skills that will allow them to extract and analyze data to explain and understand behavior, but above all to predict it as it relates to purchasing products and services.<\/p>\n<p>ENSAI graduates from the Quantitative Marketing and Revenue Management program are trained to have <strong>full Marketing knowledge<\/strong> \u00a0(courses include: Marketing Mix with the Markstrat Challenge, Experiential Marketing , Digital Marketing, Customer Relationship Management) as well as perfectly master\u00a0 <strong>Datamining<\/strong>, <strong>Segmentation<\/strong> and <strong>Scoring<\/strong> <strong>Methods<\/strong> and Consumer Behavior Modeling (structural equations, discrete choice models), and temporal dimensions (predictive models, Econometrics of panel data). They are also taught how to use the data generated by chatbots through Data Science, <strong>Machine Learning<\/strong>, and <strong>Deep Learning <\/strong>Tools like <strong>Natural Language Processing<\/strong> (NLP).<\/p>\n<p>Career opportunities for Marketing and Revenue Management graduates are vast. The industries in which they work include consulting, media, telecommunications, distribution, banking, insurance, energy, automobile, cosmetics, hospitality, transportation, leisure, and luxury.<\/p>\n<h3>Keywords<\/h3>\n<p>Datamining \/ Scoring \/ Statistical Machine Learning \/ Deep Learning \/ Marketing Mix \/ CRM \/ Yield &amp; Revenue Management<\/p>\n<h3>Careers<\/h3>\n<p>Statistical Studies Manager \/ Pricing Analyst\u00a0 \/ Data Scientist \/ Revenue Manager<\/p>\n<h3>Businesses within the ENSAI ecosystem<\/h3>\n<p>Carrefour \/ Disneyland Paris \/ Fnac-Darty \/ Louis Vuitton \/ M\u00e9diam\u00e9trie \/ Orange \/ Publicis \/ SNCF \/ Yves Rocher&#8230;<\/p>\n<p style=\"text-align: center;\"><span class=\"hentry_link_contour\"><a href=\"https:\/\/ensai.fr\/en\/apres-lensai\/les-metiers-de-la-data-2\/le-marketing-et-la-connaissance-client\/program\/\">Program<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Quantitative marketing Data Scientists with a specialization in Marketing are highly sought&#8230; <br \/><a class=\"readmore\" href=\"https:\/\/ensai.fr\/en\/le-marketing-et-la-connaissance-client\/\">Lire la suite<\/a><\/p>\n","protected":false},"author":1,"featured_media":3498,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1671","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Marketing and Client Insight | ENSAI<\/title>\n<meta name=\"description\" content=\"Les dipl\u00f4m\u00e9s ENSAI de la fili\u00e8re MQRM b\u00e9n\u00e9ficient d\u2019une culture marketing compl\u00e8te et maitrisent les m\u00e9thodes de datamining, segmentation et scoring.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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