Senior Data Scientist, Ophelos

£80-85k

AWS

Python

Tensorflow

NumPy

Pandas

Scikit-Learn

PyTorch

Mid and Senior level

London

2+ days a week in office

Using AI and behavioural science to get people debt-free and organisations paid back.

Open for applications

Using AI and behavioural science to get people debt-free and organisations paid back.

21-100 employees

FintechB2BPersonal financeMachine LearningSaaS

Open for applications

£80-85k

AWS

Python

Tensorflow

NumPy

Pandas

Scikit-Learn

PyTorch

Mid and Senior level

London

2+ days a week in office

21-100 employees

FintechB2BPersonal financeMachine LearningSaaS

Company mission

To become Europe’s trusted standard for how organisations resolve and manage debt.

Job

Company

Role

Who you are

Strong Python skills, particularly within the data science ecosystem (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, visualisation libraries)
4+ years of experience delivering machine learning products end-to-end in production
Hands-on experience with LLMs – fine-tuning, prompt engineering, vector databases, or RAG pipelines
Proven experience with A/B testing, experimentation design, or causal inference to guide product decisions
Exposure to Databricks, MLflow, AWS, and PySpark (or similar technologies) is a plus
Excitement about Ophelos’ mission to support households and businesses in breaking the vicious debt cycle

What the job involves

We are looking for an experienced and creative Senior Data Scientist to help shape the next generation of AI-driven products at Ophelos. You will lead the development of innovative, data-driven solutions that help improve the lives of people in financial difficulty at scale.The data team sits at the heart of Ophelos and is responsible for developing:
The Ophelos Decision Engine – a reinforcement learning algorithm that determines the most effective actions for each customer, enhancing results and minimising unwanted interactions
OphelosGPT – our generative AI model for empathetic, context-aware customer communication
Ophelos Analytics – our client-facing real-time analytics suite
Advanced NLP & LLM-driven classifiers to identify vulnerable customers, disputes, and intent, enabling proactive support and accurate resolutions
Forecasting and risk models to improve decision-making and operational efficiency
Take ownership of high-impact ML and LLM features from ideation through to production deployment
Design and run feature experimentation and A/B testing to optimise model performance and product outcomes
Research, prototype, and productionise state-of-the-art LLM techniques – including fine-tuning, prompt engineering, and RAG – to build explainable, reliable AI products
Collaborate closely with engineering, product, and operations teams to translate business problems into scalable data and AI solutions
Work with a modern data stack and have the freedom to propose and adopt new tools and methodologies

Salary benchmarks

Our take

Debt is a major issue in the UK, with over 300 people declared insolvent every day and millions of households struggling with low savings or lacking basic appliances. Yet, debt collection practices haven't changed much in a century.

Ophelos launched in 2021 to fix that, and by 2023, it was acquired by Interum, Europe's largest credit management firm. The team brings experience from top companies like Monzo, Google, and IBM, and works closely with leading universities to drive innovation in finance and AI.

Ophelos is redesigning how debt is handled, using a digital-first, AI-driven approach that helps people pay off debt affordably while giving businesses smarter insights. And clients like Octopus Energy and Scottish Power are already using their platform to improve the customer experience.

Backed by top investors and now part of Interum, Ophelos has expanded into 17 European markets, scaling its missions to make debt recovery fairer and more human.

Freddie

Company Specialist at Welcome to the Jungle

Insights

44% female employees

Glassdoor (4.7)

Trustpilot (3.7)

Company

Funding (2 rounds)

Jun 2022

$6.8m

SEED

Jun 2021

$2.3m

SEED

Total funding: $9.1m

Company benefits

Private healthcare
Learning & Development allowance
Work from home allowance
Cycle to work scheme
25 Days holiday + Flexible public holidays
20 days working abroad allowance
Referral bonus

Company values

Customers and Clients first
Win as one
Dream big
Get it done

Company HQ

London, UK

Leadership

Amon Ghaiumy

(Co-Founder & CEO)

Experienced startup operator, previously Director at Moat (acquired by Oracle) and ASAPP.

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