Data Science Practitioner at Accenture

Mexico City, Mexico City, Mexico

Accenture Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Professional Services, Technology, ConsultingIndustries

Requirements

  • Intermediate proficiency in Data Science
  • Intermediate proficiency in Data Analytics, Machine Learning, and Generative Design (recommended)
  • Ability to perform independently and become a subject matter expert

Responsibilities

  • Formulating, designing, and delivering AI and machine learning based decision making frameworks and models aimed at achieving business outcomes
  • Measuring and justifying the value of AI and machine learning based solutions
  • Active participation and contribution in team discussions
  • Providing solutions to work related problems
  • Developing innovative AI and machine learning models that drive business insights
  • Collaborating with cross functional teams to integrate data driven solutions into existing processes
  • Analyzing complex datasets to identify trends and patterns that inform strategic decisions
  • Presenting findings and recommendations to stakeholders in a clear and compelling manner

Skills

Data Science
Data Analytics
Machine Learning
Generative Design
AI
Python
R
SQL
TensorFlow
PyTorch
Scikit-learn
Data Visualization

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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