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Data Scientist (AI)

Формат работы
hybrid
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, machine learning, statistics): Building and optimizing models that determine contact strategies for AI voice agents collecting overdue debt, with an accent on probability, experimentation, and business-level outcomes. Focus on shipping production ML, modeling debtor behavior, turning models into collection decisions, and optimizing recovery rates.

Location: London, UK — Hybrid

Company

hirify.global builds voice AI agents that help banks and other businesses recover overdue debt through respectful, personalized, and compliant communication.

What you will do

  • Own the contact strategy used by AI agents during debt-recovery calls.
  • Build models of debtor behavior and determine how agents should engage with debtors.
  • Design and run experiments to optimize recovery rates and business outcomes.
  • Ship machine-learning models into production and turn model outputs into operational decisions.
  • Improve contact strategies across voice, messaging, email, and SMS channels.

Requirements

  • 2+ years of experience shipping machine-learning systems that ran in production and improved business metrics.
  • Expert Python skills.
  • Strong probability and statistics knowledge, with the ability to defend analytical conclusions.
  • Experience with experimentation and model-driven decision-making.
  • Degree in mathematics, statistics, machine learning, computer science, or a related field.

Nice to have

  • Experience in collections or fintech is not required.

Culture & Benefits

  • Hybrid and flexible working model.
  • Small team with high autonomy and significant ownership.
  • Direct attention from the founding team.
  • Opportunity to work on an AI platform used by banks, including Santander, Revolut, and BBVA.
  • Fair equity with significant upside potential.

Hiring process

  • Introductory conversation with a future teammate.
  • Technical discussion with the hiring manager and potentially another team member.
  • Practical exercise based on challenges relevant to the role.
  • Conversation with the founders.

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