Data Scientists 2023 - Recruitment, Training, Utilization and Future Outlook

Language:
Japanese
Product Code No:
C65102900
Issued In:
2023/07
#of Pages:
194
Publication Cycle:
Biannual
Format:
PDF
Geographic Coverage:
, Japan ,
Industry:

Price

200,000 yen ($1,265.02)
(excluding consumption tax)
400,000 yen ($2,530.04)
(excluding consumption tax)
600,000 yen ($3,795.07)
(excluding consumption tax)
* Equivalent value in US$ (Today's rate : $1= 158.1 yen , 2024/04/28 Japan)
*Scope of Each License Type

Coverage: (Product/service)

Recruitment, Training, and Utilization of Data Scientists

Research Target:

IT businesses, user companies, private businesses, educational institutions, municipalities

Research Content:

When compared to the last report, the research was held to cover wider ranges of data scientists to include recruitment (new graduates and mid-career) in addition to bringing up and utilization. In the situation of shortage of data scientists, how to recruit, train, and upgrade them are the pressing issue. Not only IT businesses but user companies recognize the issue as the highly important matter.

This time, the interviews were conducted to three cutting-edge municipalities focusing on EBPM (Evidence Based Policy Making) in addition to major IT businesses and user companies, to find out how they define, position, recruit, and train data scientist from viewpoints of each of their positionings.

This report is full of knowhows and solutions that each market player has obtained from their ample trial-and-error experiences.

TOC:

I General Remarks

  1. What is a Data Scientist?
    1) Outline of a data scientist (Definition, Processes of data analysis)
    2) Outline of Organizations related to data utilization (The Japan Data Scientist Society and FDUA (Financial Data Utilizing Association)
  2. Trend of Businesses over Data Scientists by Phase
    1) Production of human resources (Educational institutions, Recurrent education service providers)
    2) Recruitment (IT vendors, user companies)
  3. Environmental Conditions Required When Recruiting a Data Scientist
    Three conditions required for recruiting a data scientist:
    1) Strategy
    2) IT systems (cloud, environment to facilitate data analysis including data management, tools for data scientists)
    3) HR conditions (adoption, assessment, wages)
  4. Forecast on size of human resources that work on data (FY2020-FY2025)

II   Recruitment, Education and Utilization of Data Scientists at IT Businesses, User Companies, and Municipalities

  1. Recruiting, Educating and Utilizing of Data Scientists at IT Businesses
    1) Recruitment & Training environment for data scientists at major system integrators
  • Efforts on new graduates
  • Whether or not conducted mid-career recruitment for certain professions, and their required skillsets
  • Unique compensation plans

   2) Data scientists in analysis specialty businesses

  • Efforts on new graduates
  • Required mid-career skillsets
  • Unique system to secure employees

   3) Comparison of efforts among targeted businesses found out in this  survey

  • Definition of a data scientist
  • Business strategy
  • Efforts on new graduates
  • Efforts on mid-career recruitment
  • Efforts on corporate training
  • Efforts on employee retention/acquisition
  1. Recruiting, Educating and Utilizing of Data Scientists at User Companies
    1) Attempts relating to recruitment and training
    2) Status of utilization of data scientists in major industries:
  • Manufacturing
  • Distribution/Retailing
  • Financial
  • Pharmaceutical

               3) Comparison of attempts at targeted businesses found out in this survey

  1. Training and Utilization of Data Scientists at Municipalities
    1) Outline of EBPM
    2) Comparison of municipal efforts found out in this survey (Yokohama, Kobe)
  • How data is utilized
  • Efforts to produce and train data scientists
  • Future efforts

III   Data Science Education at Educational Institutions

  1. National Policy
  2. Attempts from Primary to High Schools
  3. Attempts at Universities/Colleges
    1) Moves to formulate model curriculum
    2) Current education on mathematical principle, data science, and AI
    3) Education program accreditation/certification systems for mathematical principle, data science, and AI

IV   Company Profiles

  1. Data4Cʼs K.K
  2. TOSHIBA CORPORATION
  3. IBM Japan, Ltd.
  4. NEC Corporation
  5. Hitachi, Ltd.
  6. BrainPad Inc.
  7. ASAHI KASEI CORPORATION
  8. Nippon Yusen Kabushiki Kaisha
  9. Bandai Namco Nexus Inc.
  10. Bridgestone Corporation
  11. Mitsui Sumitomo Insurance Company, Limited
  12. Mitsubishi Estate Company,Limited
  13. WORKMAN CO., LTD.
  14. Kobe City Government
  15. Yokohama City Government

Price

written in Japanese
200,000 yen ($1,265.02)
(excluding consumption tax)
400,000 yen ($2,530.04)
(excluding consumption tax)
600,000 yen ($3,795.07)
(excluding consumption tax)
* Equivalent value in US$ (Today's rate : $1= 158.1 yen , 2024/04/28 Japan)
*Scope of Each License Type