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3 часа назад

IT Internship (Data Science)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
c1
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
IT Internship (Data Science) (Python/SQL/Spark): Applying data science, software, advanced analytics, and machine learning to real-world business and consumer challenges with an accent on statistical modeling, optimization, and data engineering. Focus on building solid code, processing data with pandas, SQL, or Spark, and communicating insights through data storytelling.

Location: Mumbai General Office, India

Company

Procter & Gambl applies data science, software, and advanced analytics to improve business results and consumer experiences.

What you will do

  • Apply data science and software to real-world business challenges.
  • Use advanced analytics and machine learning to support better decision-making.
  • Develop data science and data engineering solutions using scripting and statistical tools.
  • Process and analyze data with pandas, SQL, or Spark.
  • Communicate insights and tell clear stories with data.
  • Collaborate with a team to brainstorm and solve complex problems.

Requirements

  • 2+ years of experience using scripting languages such as Python and/or statistical or mathematical software such as R, SAS, or Matlab.
  • Deep understanding of statistics, machine learning, optimization, and advanced analytical models.
  • Ability to write solid code and familiarity with pandas, SQL, or Spark.
  • Strong communication, prioritization, curiosity, creativity, and problem-solving skills.
  • Master’s degree or PhD in a quantitative or computational field such as operations research, computer science, engineering, applied mathematics, statistics, analytics, data science, life sciences, or physics.
  • Fluent English, written and oral, is required.

Culture & Benefits

  • Collaborative, team-oriented approach to data science.
  • Opportunity to work on cutting-edge data science and software applications.
  • Work focused on practical improvements and measurable business and consumer impact.

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