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Business Data Scientist - CFO

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Onsite

Business Data Scientist - CFO

Accenture

Business Data Scientist - CFO

Skills

SQL QueriesTableauPythonData ScienceRData AnalysisMachine LearningAIPerformance ManagementRisk ManagementPower BI

8 months ago

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Important information


Contract type:

Permanent

Location:

Buenos Aires Province, Argentina

Work mode:

Onsite

Published on:

12 September 2026

What they need


At Accenture’s CFO & Enterprise Value practice, we help CFOs and Finance leaders reimagine how Finance operates in the era of data, AI, and digital transformation. Our teams design and deliver data-driven solutions that unlock value, enhance decision-making, and future-proof Finance functions.

As a Business Data Scientist within CFO & EV, you will work at the intersection of Finance, Data Science, and Technology. You will use advanced analytics, machine learning, and AI to address CFO priorities—ranging from planning & forecasting, working capital optimization, and risk management to financial reporting automation and performance insights.

You will collaborate with Finance executives and multidisciplinary teams to:

  • Translate complex financial problems into data science use cases.
  • Design and implement scalable models that optimize profit, cash, and operational efficiency.
  • Build predictive and prescriptive analytics to support strategic CFO decision-making.
  • Re-engineer financial processes through AI-enhanced automation.
  • Drive adoption of innovative tools and insights across the Finance organization.

Our work blends deep Finance expertise with cutting-edge data science. You’ll have the opportunity to contribute to high-impact transformations across industries, while continuously learning and shaping the future of Finance.

Qualifications

  • Experience: 3–6 years in a Finance environment (finance, accounting, controlling, FP&A, etc.) with hands-on exposure to data analytics.
  • Education: Master’s degree in Applied Economics, Engineering, Data Science, or related field.
  • Finance expertise: Solid understanding of CFO priorities (planning & forecasting, enterprise performance management, reporting, value creation).
  • Technical skills:
    • Advanced Python
    • SQL / R
    • Visualization tools (Power BI, Qlik, Tableau)
  • Analytical skills: Ability to translate Finance needs into models, dashboards, and insights.
  • Business skills: Confident communication with Finance executives, strong problem-solving mindset, entrepreneurial spirit.
  • Other: Strong presentation skills (MS Office), fluent English.

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