Назад
Company hidden
3 дня назад

Data Scientist Jr Demand Planning (Sports/Fashion)

Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee/junior
Английский
c1
Страна
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data Scientist Jr Demand Planning (Sports/Fashion) (Python/SQL/BI): Building automated reports, dashboards, forecasting tools, and analytical datasets for sales, inventory, and demand planning with an accent on Python automation, business intelligence, and retail analytics. Focus on analyzing large B2B and B2C datasets, comparing forecasts with actuals, simulating scenarios, and optimizing assortment and stock allocation logic.

Location: Annecy, France; hybrid work, with remote work possible after the first month. The internship lasts 6 months and starts in January or February 2027. Applicants from outside the EU must hold a valid residence permit or visa authorising a school-sanctioned internship in France at the start date.

Internship allowance: €700 gross for high school diploma to bachelor's degree, €950 gross for a master's degree, or €1,200 gross for a doctorate. Housing assistance: €300 upon presentation of an eligible lease agreement and monthly receipts.

Company

hirify.global is a mountain sports brand within Amer Sports, producing footwear, apparel and equipment for outdoor and winter sports.

What you will do

  • Build and maintain automated reports and dashboards for sales, stock, margin and performance monitoring.
  • Replace or simplify Excel-based tools with Python, SQL and BI solutions, including automated data extraction, transformation and consolidation.
  • Automate weekly and monthly reports and PowerPoint presentations for internal reviews and management meetings.
  • Support forecasting and demand planning through sales forecasts, inventory projections, scenario simulations and forecast-versus-actual analysis.
  • Analyze large B2B and B2C datasets to identify trends, anomalies and performance drivers, and translate business needs into analytical solutions.
  • Develop standardized datasets, data models, forecasting or machine learning models, and scalable analytics workflows.

Requirements

  • Student in Data Science, Engineering or Applied Mathematics, such as ESILV or an equivalent program.
  • Strong analytical mindset with a clear interest in business and retail, fashion or sports environments.
  • Comfort working with data and imperfect systems; curious, proactive and solution-oriented approach.
  • Fluent English at C1 level.
  • Strong Python knowledge, including pandas, numpy, matplotlib or seaborn.
  • Advanced Excel skills at power-user level.
  • Basic SQL knowledge is a plus.
  • Experience with Power BI, Tableau or similar BI tools is a strong plus.
  • Interest in automation, optimization and forecasting techniques; PowerPoint automation or reporting experience is a plus.
  • A tripartite training agreement, or convention de stage, between the applicant, school and company is mandatory.

Nice to have

  • Basic SQL knowledge.
  • Experience with Power BI, Tableau or similar BI tools.
  • PowerPoint automation or reporting experience.
  • Interest or experience in time series, regression, clustering and other forecasting or machine learning techniques.

Culture & Benefits

  • Hands-on experience in an international fashion and sports company with real planning, merchandising and inventory use cases.
  • Opportunity to build tools used directly by the business, with significant autonomy and ownership.
  • Flexible hours, with arrival between 7:00 and 9:00 a.m. and a flexible end of day.
  • Remote work is possible after the first month.
  • Accessible workplace with dedicated parking and workstation or furniture adjustments when needed.
  • Inclusive recruitment and work environment with disability support and adjustments available throughout the process.

Hiring process

  • Application review followed by a phone pre-qualification call.
  • Manager interview to discuss the position and profile in more detail.
  • Short practical case study, followed by an offer if both sides agree.

Будьте осторожны

Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →