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Paid Internship
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Time Spent
Required Degree
Duration

20Open Positions

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Equity Continental Sales Data Analyst Intern

hrhub
Found 2 months ago
Location
Paris, France
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Python
  • SQL
  • Dataiku
  • Excel
  • Power BI
  • CRM platforms
  • business intelligence tools
  • machine learning algorithms
  • AI

Soft Skills

  • analytical
  • technical
  • communication skills
  • Problem-Solving
  • Innovation
  • Time Management
  • Collaboration
  • Team-oriented mindset

Job Description

The Equity Continental Sales Data Scientist Intern plays a key role in transforming data into strategic insights that drive sales growth and performance optimization. By leveraging advanced data analytics including artificial intelligence (AI), and machine learning (ML), the intern supports the sales team with data-driven recommendations and predictive models that anticipate market behavior and client needs. Working collaboratively across teams, such as Equity Product team and Quant Team and locations at Euronext, the ideal candidate will possess strong analytical, technical, and communication skills, with proficiency in Python, SQL, Dataiku, Excel, Power BI, CRM platforms, and other business intelligence tools.

Requirements

  • Currently pursuing a Bac+4/5 (Master’s level) degree in Data Science, Applied Mathematics, Engineering, Statistics, or a related field.
  • Proficiency in Python, SQL, and Dataiku for data preparation, analytics, and model building.
  • Strong command of Excel and Power BI for reporting and visualization.
  • Experience or coursework in machine learning algorithms (e.g., regression, clustering, classification) is a plus.
  • Experience working with CRM systems and leveraging AI features for sales analytics.
  • Ability to interpret complex data, build predictive models, and derive actionable insights that support strategic decision-making.
  • Strong verbal and written communication skills, with the ability to explain analytical results clearly to non-technical audiences.
  • Familiarity with financial markets or equity sales is a plus.
  • Demonstrated ability to apply AI-driven approaches to solve business challenges and optimize processes.
  • Proven ability to manage multiple projects and deliver high-quality results within tight deadlines.
  • Certifications in Data Science, Machine Learning, or AI are advantageous.
  • Team-oriented mindset with experience working in cross-functional and multicultural environments.

Related Field

  • Data & Analytics

Related Subfield

  • Data Science

Languages

  • English

Nice to Haves

  • Familiarity with financial markets or equity sales is a plus.
  • Certifications in Data Science, Machine Learning, or AI are advantageous.
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