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6 дней назад

Graduation Internship: Data-Driven Customer Targeting And Sales Opportunity Identification (AI)

Тип работы
project
Грейд
trainee
Английский
b2
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Graduation Internship: Data-Driven Customer Targeting and Sales Opportunity Identification (Data Science): Developing a predictive model to identify customer purchase intent and optimal outreach moments for truck parts sales with an accent on data exploration and feature engineering. Focus on translating business problems into analytical solutions and validating models using historical data.

Location: Veghel, Netherlands

Company

An international family-owned company operating in the commercial vehicle industry, providing trade, logistics, and digital platforms for truck parts and tyres worldwide.

What you will do

  • Explore historical customer orders, seasonal demand patterns, and geographic market data.
  • Develop a data-driven model or analytical framework to predict potential purchasing opportunities per customer.
  • Identify relevant parts or product categories to recommend for proactive customer engagement.
  • Determine the most promising moments for commercial outreach.
  • Perform feature engineering and validate the approach using historical data or simulated scenarios.
  • Deliver a research report, a prototype model, and a final presentation of the results.

Requirements

  • Currently enrolled in an HBO or WO program (e.g., Data Science, AI, Computer Science, Software Engineering, or Business IT & Management).
  • Strong interest in data analysis, machine learning, or predictive modeling.
  • Ability to translate complex business problems into technical and analytical solutions.
  • English: Good communication skills required.
  • Ability to work independently while actively engaging with stakeholders.

Culture & Benefits

  • Professional and collaborative environment working alongside business, engineering, and data specialists.
  • Opportunity to contribute to real-world business challenges in an international setting.
  • Focus on analysis and experimentation rather than immediate production implementation.
  • Entrepreneurial family business culture with a passion for teamwork.

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