Business Scientist Intern

Date: Jun 11, 2026

Location:

Luxembourg, LU

Company: M7 LUXEMBOURG

About CANAL+Group

Founded as a French subscription-TV channel 40 years ago, CANAL+ is now a global media and entertainment company. On 22 September 2025, CANAL+ confirmed it is in effective control of MultiChoice Group and beginning the integration process. MultiChoice is Africa’s leading entertainment platform, offering a wide range of products and services, including DStv, GOtv, Showmax, M-Net, SuperSport, Irdeto, and KingMakers. Together, the new combined group has 40 million subscribers worldwide, operates in over 70 countries and has approximately 15,000 employees.

CANAL+ operates across the entire audio-visual value chain, including production, broadcast, distribution and aggregation. It is home to STUDIOCANAL, a leading film and television studio with worldwide production and distribution capabilities; Dailymotion, major international video platform powered by cutting-edge proprietary technology for video delivery, advertising, and monetization; CANAL+ Distribution, a production and distribution company specializing in creating and distributing diverse content and channels; and telecommunication services, through GVA in Africa and CANAL+ Telecom in the French overseas jurisdictions and territories. 

CANAL+ also has significant equity stakes in Viaplay (the Pay-TV leader in Scandinavia), Viu (a leading OTT platform in Southern Asia) and UGC, a leading French cinema group. 

From the CANAL+ office in Luxemburg the activities for Austria, Belgium, Czech, Germany, Hungary, The Netherlands, Romania, Slovakia, Switzerland and SPI are being coordinated.

Job Objective

As a Business Scientist Intern, you will sit at the intersection of business strategy and data science. Your mission is to turn raw data into actionable intelligence that directly impacts commercial performance across our European footprint. You will work on real, high-impact projects alongside experienced data professionals and business stakeholders.

Your Responsibilities

Market Analysis & Business Intelligence

• Conduct deep-dive market analyses across European territories to identify growth opportunities, competitive dynamics, and performance drivers
• Build and maintain dashboards and automated reporting pipelines to monitor KPIs (subscriber acquisition, churn, ARPU, engagement)
• Produce strategic insight reports for senior leadership and local market teams
  
  

Projections & Forecasting

• Develop and refine subscriber projection models using historical data and market signals
• Support budget and business plan cycles with data-backed scenario analyses
• Monitor forecast accuracy and iterate on modeling approaches to improve reliability
  
  

Upsell & Cross-Sell Modeling (Machine Learning)

• Design and implement ML-based propensity models to identify upsell and cross-sell opportunities within the existing subscriber base
• Perform feature engineering, model training, evaluation, and A/B testing in close collaboration with marketing and CRM teams
• Translate model outputs into clear, actionable commercial recommendations for non-technical stakeholders
  
  

Ad Hoc Analytics & Cross-Functional Support

• Respond to ad hoc analytical requests from business stakeholders across markets
• Contribute to the continuous improvement of the team’s data infrastructure, tools, and processes
  
  

Skills & Experience

• Currently pursuing a Master’s degree (M1 or M2) in Data Science, Business Analytics, Statistics, Economics, Engineering, or a related quantitative field
• Strong academic track record with a genuine interest in both business strategy and technical analytics
• Proficiency in SQL for data extraction and manipulation (mandatory)
• Strong command of Python or R for data analysis and machine learning (scikit-learn, pandas, numpy, or equivalent)
• Familiarity with data visualization tools (Tableau, Power BI, Looker, or similar)
• Exposure to cloud data platforms (Snowflake, BigQuery, or similar) is a plus
• Understanding of machine learning fundamentals: classification, regression, clustering, model evaluation.
• Ability to translate data findings into clear business narratives. You think in insights, not just numbers
• Intellectual curiosity, autonomy, and a proactive mindset
• Excellent communication skills; comfortable presenting to both technical and non-technical audiences
• Fluent in English (mandatory); French is a strong plus
• Interest in the media/entertainment industry, subscription business models, or European markets is appreciated
  
  

What We Offer

• Hands-on experience with real business data at scale across 10 European markets
• Mentorship from a seasoned data & AI leader with deep expertise in analytics, machine learning, and business strategy
• Exposure to end-to-end ML workflows: from problem framing to production-ready models
• A multicultural, fast-paced environment at the crossroads of tech and media
• A strong addition to your portfolio with tangible, measurable projects