Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Стажировка дает практический опыт в Data Science или Data Engineering, но объединяет два разных направления и мало раскрывает содержание проектов и повседневных задач.
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Текст:
Hirify AI/Оригинал
TL;DR
Data & Analytics Intern - January 2027 (AI & Data): Solving client Data Science and Analytics problems and supporting data pipeline, warehousing, modelling, and data-driven solution development with an accent on machine learning, analytics, and data quality. Focus on applying statistical and programming knowledge, implementing data engineering processes, and collaborating with data scientists, analysts, and software engineers.
Location: Barcelona, Spain
Company
hirify.global is a global consulting firm delivering AI & Data, Digital Commerce, Marketing & Design, and Advisory solutions across multiple industries.
What you will do
Solve client-facing Data Science and Analytics problems and apply theoretical machine learning and analytics knowledge in practice.
Design, develop, and maintain data pipelines for extracting, transforming, and loading data from various sources.
Support data warehousing, data modelling, data quality, and data governance activities.
Help create data-driven solutions that support business needs.
Collaborate with data scientists, business analysts, software engineers, strategists, and other analytics specialists.
Participate in code reviews and stay current with data engineering technologies and best practices.
Requirements
Currently enrolled in a quantitative Master's degree focused on data analysis, such as econometrics, mathematics, physics, business analytics, or another exact science, for the Data Science track.
Knowledge of statistical concepts, programming languages such as R or Python, machine learning, and visualization tools such as Power BI, Tableau, R, or Shiny.
Strong theoretical foundations from Bachelor's and Master's studies.
Professional fluency in English.
Pursuing a degree in computer science, software engineering, or a related field for the Data Engineer track.
Strong programming skills in one or more languages such as Python, Java, or Scala.
Strong analytical and problem-solving skills, teamwork ability, and good communication and interpersonal skills.
Strong interest in data and technology and a desire to learn and grow as a data engineer.
Nice to have
Analytical work experience.
Culture & Benefits
Relevant working experience in strategy consulting and exposure to complex business challenges.
Regular client interaction and opportunities to create business solutions through data-driven insights.
Mentorship from a dedicated mentor.
Collaborative environment with multidisciplinary experts and knowledge sharing.
International, diverse, and fast-growing team committed to diversity, equity, inclusion, and belonging.
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