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3 дня назад

Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
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
Data Scientist (AI) (Python/SQL/ML): Co-developing production-level data science projects with customers and extending the Dataiku platform through Python-based plugins with an accent on machine learning, visualization, and cloud data systems. Focus on integrating data science solutions, explaining complex technical topics to diverse audiences, and building custom functionality with Solutions, R&D, and Product teams.

Location: United Kingdom, London

Company

hirify.global provides an enterprise platform for building, deploying, governing, and operating analytics, machine learning, and AI solutions.

What you will do

  • Scope and co-develop production-level data science projects with customers across industries and use cases.
  • Help users discover and master the hirify.global platform through training, office hours, and consultative support.
  • Provide data science expertise and strategic input to customers, account teams, sales, and marketing.
  • Develop custom Python-based plugins with Solutions, R&D, and Product teams.
  • Support platform integrations and co-develop projects from design through deployment.

Requirements

  • More than 2 years of experience with Python and SQL.
  • More than 2 years of experience building machine learning models and using ML tools such as scikit-learn.
  • Familiarity with data visualization in Python and R.
  • Understanding of cloud architectures, Hadoop, or SQL-based data systems.
  • Ability to explain complex topics clearly to technical and non-technical audiences.
  • Curiosity, empathy, and willingness to learn and share expertise.

Nice to have

  • Consulting or customer-facing data science experience.
  • Data engineering or MLOps experience.
  • Experience developing web applications with JavaScript, RShiny, or Dash.
  • Experience building APIs or using enterprise data science tools.
  • Passion for teaching or public speaking.

Culture & Benefits

  • Work in an environment focused on innovation, collaboration, and professional growth.
  • Contribute to the development of enterprise AI technology.
  • Inclusive employment practices based on dignity, decency, fairness, and equal opportunity.

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