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Paid Internship
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14Open Positions

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Financial AI Transformation Analyst - Apprenticeship

Mirakl
Found 1 month ago
Location
Paris, France
Duration (Months)
18 Months
Time
Not disclosed
Work Mode
On-site
Salary
Monthly apprenticeship allowance
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Python
  • Pandas
  • NumPy
  • Scikit-learn
  • TensorFlow
  • PyTorch
  • AI
  • Data Science
  • ML
  • financial data analysis

Soft Skills

  • Curious
  • autonomous
  • ability to explain technical concepts to non-technical profiles
  • Team player
  • collaborate effectively
  • share best practices
  • drive business performance
  • strategic decision-making

Job Description

You'll be part of our Finance team led by Anastasia Derly, FP&A Director. You'll be participating in Mirakl's financial activities, playing a critical role in driving business performance and strategic decision-making. As a Financial AI Transformation Analyst, you'll be at the intersection of AI and finance, pioneering the integration of artificial intelligence into financial processes and analytics.

Requirements

  • Currently pursuing a Master's degree (Bac+4/5) in engineering with AI/Data specialization, AI, Data Science, Computer Science, or related field
  • Previous experience in data science, ML, or AI (internship, academic project, hackathon) is a plus
  • Strong command of Python and main data science and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch)
  • Interest in finance, numbers, and financial data analysis (no deep prior finance experience required)
  • Curious, autonomous, with strong ability to explain technical concepts to non-technical profiles
  • Team player : you collaborate effectively and share best practices to elevate team performance
  • Interest in e-commerce, tech, and marketplaces is a plus

Related Field

  • Finance and Banking

Related Subfield

  • Financial Planning and Analysis (FP&A)

Languages

  • English
  • French

Nice to Haves

  • Previous experience in data science, ML, or AI (internship, academic project, hackathon)
  • Interest in finance, numbers, and financial data analysis
  • Interest in e-commerce, tech, and marketplaces
▶Apply Now

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