10 publicaciones de empleo destacadas de data scientist en b (¡Están contratando!)

Business Data Scientist - CFO
Accenture —Buenos Aires, Buenos Aires
- Tiempo completo
Data Intelligence Platform Engineer
Philip Morris International —Buenos Aires, Buenos Aires
- Tiempo completo
Staff Software Engineer
Capgemini —Buenos Aires, Buenos Aires
Analyst - McKinsey Digital
McKinsey & Company —Buenos Aires, Buenos Aires
Senior Machine Learning Engineer
GoFundMe —Capital Federal, Buenos Aires
Postulación rápida
Sr Mainframe Automation Engineer
Capgemini Sogeti —Buenos Aires, Buenos Aires
Senior Software Engineer, Windows/Desktop Applications - Buenos Aires, Argentina
Speechify —Capital Federal, Buenos Aires
7d
Ingenieros/as en Machine Learning
Lovelytics —Buenos Aires, Buenos Aires
AI Engineer – Azure AI Foundry / LangGraph / RAG (Híbrido)
Talent Connect —Capital Federal, Buenos Aires
R&D Scientist - AMEA Region
The Clorox Company —Aldo Bonzi, Buenos Aires
- Tiempo completo
1d

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Business Data Scientist - CFO

Accenture -
Buenos Aires, Buenos Aires

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Detalles del empleo

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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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data scientist empleos en b

Business Data Scientist - CFO

Data Intelligence Platform Engineer

Staff Software Engineer

Analyst - McKinsey Digital

Senior Machine Learning Engineer

Sr Mainframe Automation Engineer

Senior Software Engineer, Windows/Desktop Applications - Buenos Aires, Argentina

Ingenieros/as en Machine Learning

AI Engineer – Azure AI Foundry / LangGraph / RAG (Híbrido)

R&D Scientist - AMEA Region

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