Senior Data Scientist
London (Hybrid)
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Ophelos
Flexible repayments, with an empathetic approach. Discover how we can help you get debt-free on your terms and timescales.Our Mission
At Ophelos, we believe in a different way to deal with debt. One that puts empathy and understanding front and centre, approaching our customers as individuals ā no matter what theyāre going through.
For too long, people in debt have borne the brunt of poor industry practices. Intimidating tactics, time-consuming customer service and a one-size-fits-all approach that overlooks the reasons anyone can fall into debt in the first place. Meanwhile, businesses suffer too. Poor customer experience translates to poor customer satisfaction, high churn rates, bad brand reputation and ultimately missed opportunities.
Thatās why weāre taking a radically different approach. Pioneering an industry-first AI-native collections platform, we build products that help individuals clear their debts in a way that suits them, whilst providing businesses with an improved customer experience and game-changing insights into their customer base.
Since our launch in 2021, weāve worked with some of the UKās leading companies, including Octopus, Scottish Power and Philips ā helping millions of people move toward a more stable, debt-free future. In 2023, we were acquired by Intrum, Europeās biggest credit management service and have begun the next phase in our growth ā expansion into 17 European markets over the next two years.
Senior Data Scientist
We are looking for an experienced and creativeĀ Senior Data ScientistĀ 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:
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- The Ophelos Decision EngineĀ ā a reinforcement learning algorithm that determines the most effective actions for each customer, enhancing results and minimising unwanted interactions
- OphelosGPTĀ ā our generative AI model for empathetic, context-aware customer communication
- Ophelos AnalyticsĀ ā our client-facing real-time analytics suite
- Advanced NLP & LLM-driven classifiersĀ to identify vulnerable customers, disputes, and intent, enabling proactive support and accurate resolutions
- Forecasting and risk modelsĀ to improve decision-making and operational efficiency
- Take ownership of high-impact ML and LLM features from ideation through to production deployment
- Design and runĀ feature experimentation and A/B testingĀ to optimise model performance and product outcomes
- Research, prototype, and productioniseĀ state-of-the-art LLM techniquesĀ ā including fine-tuning, prompt engineering, and RAG ā 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
We donāt expect perfection, but for this senior role we are looking for someone with:
- Strong Python skills, particularly within the data science ecosystem (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, visualisation libraries)
- 4+ years of experienceĀ delivering machine learning products end-to-end in production
- Hands-on experience with LLMsĀ ā fine-tuning, prompt engineering, vector databases, or RAG pipelines
- Proven experience withĀ A/B testing, experimentation design, or causal inferenceĀ to guide product decisions
- Exposure to Databricks, MLflow, AWS, and PySpark (or similar technologies) is a plus
- Excitement about Ophelosā mission to support households and businesses in breaking the vicious debt cycle
About Our Team
Ophelos launched in June of 2021, backed by investors such as AlbionVC, Connect Ventures and Fly Ventures. In 2023, we were acquired by Intrum, Europeās biggest credit management service. Our growing team has team helped build some of the worldās most successful businesses, including the likes of Monzo, Google, Oracle, ASAPP, IBM and more ā in addition to pioneering innovative products, sitting at the intersection of enterprise, financial technology, artificial intelligence and academia, working with institutions such as Oxford University, the University of Amsterdam and the University of Hong Kong.
Our Values
Supporting customers and businesses to improve their financial health is a long-term mission. Our company values act as our north star, steering our every move as an organisation and are the backbone of our unique company culture. Our values and culture allow us to stay true to our larger purpose, even as we continue to grow at a rapid pace.
Customers and Clients first ā We exist to help real people move through debt and to get clients paid back. This commitment drives how we design products, deliver services, and interact with customers and clients daily.
Dream big ā We have ambition and drive to succeed - weāre not just raising the bar, weāre confidently asserting ourselves as the benchmark.
Get it done ā Weāre decisive and embrace a sense of urgency; we donāt let opportunities get away from us. Weād rather act quickly and take informed risks, iterating and learning as we go.Ā
Win as one - We work as one team, supporting each other and aiming for shared goals. At Ophelos, the team isnāt just individual departments - itās all of us together.Ā We challenge and support each other because we care about everyoneās growth and success.Ā
Ophelos is committed to creating a diverse work environment and is proud to be an equal opportunity workplace, providing equal employment and advancement opportunities to all team members. We are building an environment where every Ophelos team member can thrive, feel a sense of belonging, and do the best work of their careers. We value diversity and recruit, hire, and promote individuals solely based on talent, qualifications, competence, and merit. We evaluate candidates without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, disability, or other protected characteristics as required by law and as a matter of our company values.
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GDPR Notice
When you apply to a job on this site, the personal data contained in your application will be collected by Ophelos (āControllerā), which is located at 1 Finsbury Ave, London EC2M 2PF and can be contacted by emailing contact@ophelos.com. Controllerās data protection officer is Paul Chong, who can be contacted at contact@ophelos.com. Your personal data will be processed for the purposes of managing Controllerās recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment.
Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controllerās behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. Because the European Union Commission has determined that United States data privacy laws do not ensure an adequate level of protection for personal data collected from EU data subjects, the transfer will be subject to appropriate additional safeguards underĀ . You can obtain a copy of the standard contractual clauses by contacting us at contact@ophelos.com.
Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: A/B testing AWS Causal inference CX Databricks Engineering Generative AI LLMs Machine Learning MLFlow NLP NumPy Oracle Pandas Pipelines Privacy Prompt engineering PySpark Python PyTorch RAG Reinforcement Learning Research Scikit-learn TensorFlow Testing
Perks/benefits: Career development Startup environment Team events
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