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Sia Partners

Management consulting integrating AI and design

Data Scientist Intern - Marketing

Data ScienceConfirmed live in the last 24 hours
InternshipÎle-de-France, FranceNo salary listedIn-person

About the Job

Requirements

  • Be nearing completion of a Bac+5 engineering-school program or advanced training in data analysis, statistics, applied mathematics, or marketing.
  • Have proficiency in Python, SQL, and data modeling.
  • Have strong knowledge of machine learning and generative artificial intelligence, including supervised and unsupervised learning and clustering.
  • Be able to understand marketing business challenges and design suitable data solutions.
  • Be able to present analyses and recommendations to senior management.
  • Speak French and English fluently in a professional context.

Responsibilities

  • Conduct advanced analyses to support strategic decisions by business departments on offerings, assortment, performance, and omnichannel operations.
  • Design business intelligence solutions and self-service tools using data engineering and analytics skills.
  • Design machine learning models for prediction, segmentation, recommendation, and forecasting to improve marketing and commercial performance.
  • Develop artificial intelligence and generative artificial intelligence use cases for data and content analysis, including natural language processing, Marketing Mix Modelling, recommendations, and personalization.
  • Design solutions that turn data into performance levers and address business challenges and customer experience.
  • Support non-technical stakeholders in Marketing, Client, and Product leadership.
  • Explain analyses in accessible terms and formulate impactful recommendations while developing autonomy.
  • Contribute to developing the firm's offerings through training, working groups, publications, and internal and external materials.
  • Monitor research publications and experiment with new tools and models, including large language models, machine learning architectures, and Python libraries.
  • Contribute to thematic labs in generative AI, computer vision, time series, and data marketing, and share work and lessons learned through write-ups and internal presentations.
  • Develop automated detection and classification of needs from free-text exchanges such as surveys and emails using generative AI, natural language processing, and clustering.
  • Build a machine learning sales forecasting model to estimate the sales potential of new luxury products by store and recommend in-store assortments.
  • Analyze customer behavior for a luxury company by segmenting customers through clustering to identify homogeneous profiles and their attributes for better-targeted marketing actions.

Desired Qualifications

  • A first experience with natural language processing and/or generative artificial intelligence.
  • Knowledge of a cloud environment such as Google Cloud Platform, Amazon Web Services, or Microsoft Azure.
  • Understanding of business challenges in luxury, fast-moving consumer goods, energy, banking, and insurance.
  • Experience analyzing data in a marketing context.
  • Proficiency with business intelligence tools such as Power BI, Tableau, or Qlik, and visualization tools such as Dash or Plotly.

About the Company

Sia Partners

Management consulting integrating AI and design

Sia Partners is a management consulting firm that blends AI and design with traditional advisory to help clients improve performance. Its approach combines thorough analysis of competitive, regulatory, and organizational factors with AI-enabled and design-driven solutions across 30+ sectors, delivered by a global network of 2,400 consultants in 38 countries. It differentiates itself by staying independent from the IT services industry (a pure-player) and embracing a Consulting for Good mindset that creates CSR-enabled, sustainable transformations. Its goal is to become a leading independent management consulting firm in Europe, driving value-driven change for clients and responsible growth.

Company size
1,001-5,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$12.7M
Headquarters
Paris, France
Founded
1999

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