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Applied Data Scientist (AI)

Формат работы
onsite
Тип работы
project
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

HR Data Analyst (AI): Driving data-driven decision-making for People & Culture teams with an accent on strategic partnership, end-to-end analysis, and data storytelling. Focus on uncovering insights from complex datasets and translating them into actionable recommendations for diverse audiences.

Location: Onsite in London, UK

Company

hirify.global is an organization dedicated to advancing artificial intelligence for widespread public benefit and scientific discovery.

What you will do

  • Drive data-driven decision-making within People & Culture teams.
  • Build strong relationships with stakeholders to understand challenges and develop data solutions.
  • Become a strategic partner, proposing and championing data-driven changes.
  • Leverage internal AI tools to scale analytical work.
  • Conduct rigorous, end-to-end analyses to uncover insights, model trends, and answer complex questions.
  • Translate complex analytical findings into clear narratives and actionable recommendations.

Requirements

  • Fixed-term contract, ending in December 2026.
  • Strong track record of building stakeholder relationships and presenting persuasive recommendations to diverse audiences.
  • Ability to manage multiple projects simultaneously, prioritize effectively, and deliver high-quality insights.
  • Experience with or a strong interest in People & Culture (HR, recruiting, performance, talent, or employee engagement).
  • For Profile 2: 3+ years of experience as a Data Scientist, Data Analyst, Quantitative Analyst, or Product Data Scientist.
  • For Profile 2: High proficiency in using SQL to extract, manipulate, and analyze complex datasets.
  • For Profile 2: Solid understanding and practical application of statistical concepts for analysis (e.g., hypothesis testing, regression, forecasting).

Nice to have

  • AI Fluency: Ability and curiosity to use AI tools practically and effectively in your work.
  • Proficiency in Python and common data analysis libraries (e.g., Pandas, NumPy, SciPy).
  • Experience creating effective dashboards and visualizations using tools like Tableau, Looker, or Google Data Studio.
  • Experience designing and implementing ELT workflows (using tools like Dagster, dbt).

Culture & Benefits

  • Direct strategic impact through analysis and recommendations that inform critical investment and strategic decisions.
  • Opportunities for leadership exposure by working closely with senior leaders and key decision-makers.
  • Be part of a supportive and highly skilled data & analytics group, learning from peers.
  • Commitment to equal employment opportunities regardless of sex, race, religion, or belief.
  • Accommodations provided for disabilities or additional needs.

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