обновлено 8 дней назад
Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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