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Data Scientist

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (Data Science ML): Build and deploy machine learning models and predictive analytics solutions to answer key business questions and drive growth for digital media products with an accent on statistics, optimisation, and scalable model deployment. Focus on designing robust ML systems, ensuring data integrity, and collaborating across interdisciplinary teams in an agile environment.

Location: London, Sofia, Bangalore

Company

hirify.global is part of News UK, a leading media business in the UK and Ireland delivering news, analysis, and entertainment across multiple formats and platforms.

What you will do

  • Own end-to-end project lifecycle for data science initiatives
  • Build, research, and prototype machine learning models to solve business problems
  • Partner with business stakeholders to deliver impactful data-driven solutions
  • Design and oversee deployment platforms for ML systems
  • Ensure data quality, validation, and governance
  • Develop tools to monitor model performance and data accuracy

Requirements

  • English: B2 level or higher
  • Hands-on experience as a data scientist, preferably in B2C digital products
  • Advanced degree in Computer Science, Statistics, Mathematics, or related field
  • Strong programming skills in Python and SQL
  • Experience with machine learning, statistics, experimental design, and Git
  • Ability to work independently and collaboratively in agile teams

Nice to have

  • Experience with cloud computing platforms such as Google Cloud
  • Ability to build and deploy AI models focusing on scaling and monitoring

Culture & Benefits

  • Inclusive and values-driven work environment with diversity focus
  • Generous maternity and paternity leave
  • Wide range of training and LinkedIn Learning access
  • Private medical insurance including pre-existing conditions
  • Discounts on gym memberships, books, and access to exclusive events
  • Wellbeing benefits including counselling and physiotherapy
  • Generous pension scheme and paid holidays

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