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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

8Open Positions

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Equity Continental Sales Data Analyst Intern

Euronext
Found 2 months ago
Location
Paris, France
Duration (Months)
6 Months
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
  • AI
  • ML
  • machine learning algorithms

Soft Skills

  • analytical skills
  • technical skills
  • 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.Key ResponsibilitiesData Extraction, Analysis, and Modeling:Collect, process, and analyze large and complex trading and client datasets using Python, Dataiku, and SQL.Apply machine learning techniques to detect client behavioral patterns, segment clients, and predict sales trends, particularly in the retail segment.Data Visualization and Reporting:Design intuitive Power BI dashboards and automated reports to monitor key performance indicators (KPIs), visualize insights, and communicate findings effectively to stakeholders.CRM Optimization through AI:Integrate AI-driven analytics into CRM systems to improve customer segmentation, lead scoring, and sales pipeline management.Market Intelligence:Conduct market and sentiment analysis to identify emerging opportunities, competitive shifts, and macro trends impacting equity sales strategies.Predictive and Prescriptive Analytics:Develop and deploy models to forecast sales performance, identify high-potential clients, and recommend data-driven actions that enhance commercial effectiveness.Collaboration and Process Improvement:Work closely with the sales and strategy teams to streamline workflows, enhance performance tracking, and translate analytical insights into actionable business outcomes.

Requirements

  • 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
  • Team-oriented mindset with experience working in cross-functional and multicultural environments

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • Experience or coursework in machine learning algorithms (e.g., regression, clustering, classification)
  • Experience working with CRM systems and leveraging AI features for sales analytics
  • Familiarity with financial markets or equity sales
  • Certifications in Data Science, Machine Learning, or AI
▶Apply Now

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