Data Scientist

Murphy AI

Dubai

Hybrid

AED 180,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Top salary
Equity with upside
Ownership of Murphy's strategy
Autonomy and impact

Job summary

Murphy AI in Dubai is seeking a Data Scientist to build the Murphy brain—the ML that decides who to contact, when, and how, to recover debt within hard legal limits. You own the data problem and shape the strategies guiding every call.

We require 2+ years shipping ML in production with proficiency in Python and TS, plus rigorous experimental design and causal inference. You will collaborate with product, engineering and commercial teams to optimize outcomes.

Qualifications

  • 2+ years shipping ML in production and moving business metrics.
  • Experience turning models into actions and measuring impact.
  • Expertise in experimental design and causal inference for real-world data.
  • Ability to ship production code and monitor models in a production environment.

Responsibilities

  • Own the contact strategy and channels to maximise recovery within legal guardrails.
  • Model the debtor with propensity and uplift models that guide live segments for agents.
  • Design and analyse experiments (A/B tests, bandits) to lift recovery and ship improvements.
  • Collaborate with product, engineering and commercial teams to define solutions and improve key metrics.

Skills

ML production experience
Experimental design
Causal inference
Model-driven decision making
Communication with stakeholders

Education

Bachelor's degree in a relevant field

Tools

Python
TypeScript
AWS
PostgreSQL

Job description

Murphy deploys AI agents for banks starting with the most straightforward business case: voice AI for debt collection. We’ve built a fully‑fledged platform designed to optimize recovery rates while maintaining respectful and personalized communication.

Our AI‑powered agents adapt instantly, engaging with debtors across channels like voice, messengers, email and SMS to maximize results while preserving trust.

We’re live with Santander, Revolut, BBVA and dozens others. We’ve proven the product in large‑scale pilots with top‑tier banks. And now we need to move fast to secure leadership in this $300Bn+ industry.

About The Role

We're looking for a Data Scientist to build the Murphy’s brain — the ML that decides who we contact, when, how and how often, to recover the most debt inside hard legal limits. Recovery is a data problem before it's a voice problem, and you own the data problem. This is one of the highest‑leverage seats in the company: your models set the strategy every AI agent executes, on every call.

Murphy builds AI voice agents that collect overdue debt for banks: more recovered, faster, cheaper, fully compliant, and respectful to the debtor. We're live with Santander, Revolut, BBVA and dozens others. We've proven the product in large‑scale pilots with top‑tier banks — now we're making every contact smarter, and we need a scientist to own the models that decide how we collect.

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.
  • You turn models into decisions. You can explain to stakeholders why the model says to call this client at 6pm — and defend it.
What we offer
  • Salary at the top of the benchmark.
  • Fair equity with enormous upside potential.
  • Real Ownership - Murphy's strategy is yours to drive.
  • Small team, high autonomy, and outsized impact.
  • The founding team's direct attention, and a category with a $300B+ industry behind it.
Hybrid & Flexible

Our default setup is hybrid – 3 days a week at our office and 2 days of remote work.

Our Process
  1. First Interview – Getting to Know You: A conversation with a future teammate who’s excited to find a new colleague. We’ll talk about your story, what drives you, and what you’re looking for next—no trick questions, just a genuine exchange.
  2. Second Interview – Deep Dive: You’ll meet the Hiring Manager and potentially another team member. This is a more technical discussion where we explore your skills in detail, walk through real scenarios, and answer any questions you might have about the role.
  3. Tech Assessment or Business Case: A practical exercise to see how you approach challenges similar to those you’d tackle at Murphy. You’ll have time to reflect and showcase your thinking—no rush, no surprises.
  4. Call with the Founders: Our founders meet every team member and it’s a great opportunity for you to learn about the company and its direction.

We are committed to building a diverse, inclusive, and equitable workplace where everyone, regardless of background, identity, or experience, feels valued and empowered to thrive. We believe that different perspectives drive innovation and success, and we actively foster an environment where all voices are heard and respected.

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