Data Scientist

Data Scientist

Data Scientist

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  • Date posted
    October 9, 2026
  • Expiration date
    January 9, 2027
  • Application ends
    January 9, 2027

Our client is seeking a Data Scientist

Responsibilities

What you’ll do

  • Own the contact strategy. Who Murphy contacts, when, how often, on which channel — voice, WhatsApp, etc. — to maximise recovery inside hard legal guardrails.
  • Model the debtor. Propensity and uplift models — who picks up, who pays, who responds to which voice, script or offer — turned into live segments the agents act on.
  • Optimise with experiments. A/B tests and bandits over timing, cadence, voice and negotiation policy; find what lifts recovery, and ship it fast.
  • Own business-level outcomes. Collaborate with product, engineering and commercial teams to define solutions and improve the key metrics.

Who you are

  • You hold a degree in mathematics, statistics, machine learning, or computer science.
  • Rigorous with probability and statistics. Experimental design, causal inference. You reach for the right tool, and you know when a result is real.
  • AI-native, ruthless on quality. You reach for AI to automate and streamline by default — and you know exactly where it gets sloppy. You never let that through, and you control quality rigorously.
  • You don’t need a collections or fintech background. We’d rather teach the domain to a killer than hire a lifer who can’t ship — you’ll pick up the domain, the data and the regulation cold, fast.

Requirements

  • 2+ years shipping ML that ran in production and moved business metrics. Models that pick the best next action and measure whether it actually changed the outcome; ranking, pricing or contact-strategy models. Models that ship as code, not notebooks.
  • Expert Python. Comfortable in a real production codebase — you take a model from idea to production and monitor it. We use Python for ML/AI services and TypeScript around it, on AWS and PostgreSQL.
  • Statistics you can defend. Experimental design, causal inference, measuring the real effect of an action — not just correlations. You know when a result is real, when it’s noise, and how to test it.
  • Experimentation. You’ve designed, run and interpreted A/B tests or bandits on live traffic, and shipped the winner.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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