2 publicaciones de empleo destacadas en machine learning engineer (¡Están contratando!)

Business Data Scientist - CFO
Accenture —Buenos Aires, Buenos Aires
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Modus Digital —Capital Federal, Buenos Aires
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Business Data Scientist - CFO

Accenture -
Buenos Aires, Buenos Aires

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Detalles del empleo

Tiempo completo

Descripción completa del empleo

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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