Data＆AI コンサルタント中堅層 ‐ ソング本部 at Accenture

Tokyo, Japan

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, Consumer Goods, Food Manufacturing, Finance, Insurance, Telecommunications, Entertainment, Energy, Healthcare, PharmaceuticalsIndustries

Requirements

University degree or above
Programming knowledge and experience (SQL/Python/R etc.) for 1+ years
One of the following experiences: (i) data analysis experience, (ii) consulting experience, (iii) machine learning engineering experience, or (iv) AI utilization experience
Basic knowledge of data analysis techniques and statistics
Ability to proactively solve problems with agility and communication skills
Business-level Japanese

Responsibilities

Propose or lead projects for clients using data/AI on diverse themes (deepening customer understanding, new business development, service review, business process reform, AI solution development, organizational/cultural reform, talent development, etc.)
Serve as core team member in data/AI-driven business transformation projects, collaborating with other specialized teams to support strategy formulation through execution for business value creation

Skills

SQL

Python

Data Analysis

Statistics

Machine Learning

Generative AI

Consulting

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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