【Commercial － Strategy】Data＆Analytics （DnA） コンサルタント － JAP000J9

<Senior Manager > 【Senior Data Scientist （＋5 years experience）】 （1） Role Description － Manages large and complex analytical projects from data exploration, model building, performance evaluation and testing － Works with clients / stakeholders to design, deliver insights and develop solutions using multiple sources of structured, semi－structured and unstructured data － Acts as an intermediary between the business / client community and the technical community － Presents complex solutions and options in a simplified manner for clients / business （2） Responsibilities － Leads the delivery of large projects and data science insights using a range of tools and methods and serves as a best practice resource for team members － Builds internal relationships with key stakeholders across the business as well as externally with the client and technical 　community － Ensures robust governance around data ethics and use of data within data science models, setting policies and procedures － Develops new data sources internally and externally and identifies large projects and opportunities through close collaboration with the business, client and technical community ＜Senior Consultant/ Manager＞ 【Data Scientist （＋3 years experience）】 （1）Role Description 　－ Develops and reviews complex data analytics models, algorithms, systems and solutions, using advanced and specialist 　 data science, programming and analytical techniques 　－ Delivers complex predictive models and identifies new projects, opportunities and data sources which can be used to 　　drive measurable client and commercial benefit 　－ Provides insights and recommendations from different data sources to senior team members to help make decisions 　　that drive better business outcomes for clients 　（2）Responsibilities 　－ Works closely with senior team members to scope, identify and establish appropriate data analysis methodologies for 　 projects － Seeks new data sources internally and externally that enable leading edge data science solutions － Develops complex statistical modelling tools that drive business outcomes for clients, involving complex algorithms, artificial intelligence methods, machine learning, deep learning and advanced statistics － Confidently uses visual tools to communicate data insights and links data to business outcomes.

待遇・福利厚生 　昇給年1回 　通勤手当 　健康保険 　厚生年金 　雇用保険 　団体生命保険 等 勤務時間 　9:30－17:30 休日・休暇 　完全週休2日制（土・日）、祝祭日 　年末年始休暇 　有給休暇 　慶弔休暇等 　創立記念日