Data Scientist in City of Westminster

Data Scientist in City of Westminster

City of Westminster Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Build and optimise machine learning models to enhance debt recovery strategies.
  • Company: Fast-growing startup revolutionising debt collection with AI technology.
  • Benefits: Top-tier salary, equity options, hybrid work model, and real ownership of projects.
  • Other info: Collaborative environment with direct access to founders and career growth opportunities.
  • Why this job: Join a dynamic team making a significant impact in the $300B+ industry.
  • Qualifications: Degree in maths, statistics, or computer science; 2+ years of ML experience.

The predicted salary is between 63000 - 77000 £ per year.

Murphy AI deploys voice AI agents that help banks collect debt. We’ve built a fully-fledged platform designed to optimize recovery rates while maintaining respectful and personalized communication. Our advanced automation streamlines the process of collecting overdue invoices for banks and other industries, providing a seamless and effective solution. Our AI-powered agents adapt instantly, engaging with debtors across channels like voice, messengers, email and SMS to maximize results while preserving trust. By combining advanced artificial intelligence with powerful automation, we’re setting a new standard for how businesses recover payments. As a fast-growing startup that has already made an impact within less than a year in the market, we are building a talented team to scale our operations and drive our vision forward.

About the Role

We're looking for a Data Scientist to build 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.
  • 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

  • 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.
  • 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.
  • 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.
  • 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.

Data Scientist in City of Westminster employer: Getmurphy

At Murphy AI, we pride ourselves on being an exceptional employer that champions innovation and flexibility. As a fast-growing startup in the fintech sector, we offer our employees the unique opportunity to shape the future of debt recovery while enjoying a competitive salary, stock options, and a hybrid work environment that promotes work-life balance. Our commitment to personal and professional growth, coupled with local benefits tailored to enhance your lifestyle in the UK, makes Murphy AI a truly rewarding place to build your career.

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Contact Details:

Getmurphy Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist in City of Westminster

Get Involved in Data Science Meetups

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Getmurphy.

Apply Directly through Our Website

When you find a suitable opening like Data Scientist at Getmurphy, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Scientist in City of Westminster

Machine Learning
Statistical Analysis
Experimental Design
Causal Inference
Python
A/B Testing
Data Modelling

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Getmurphy, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Getmurphy. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Getmurphy

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Getmurphy!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.