Data Scientist
Key Skills for This Role
Full Job Posting
Responsibilities
- Model development: Build and test components of credit risk and pricing models, under guidance from senior team members.
- Data exploration: Explore internal and external data sources, clean and prepare real-world datasets, and engineer features that could improve our models.
- Analysis: Carry out analysis of merchant behaviour, repayment performance and product performance to answer well-defined business questions.
- Model monitoring: Help track model performance, flag changes or drift, and support investigations into what is driving them.
- Model deployment: Support Data Engineering with deploying models onto the ML Platform and integrating them into the credit decisioning system.
- Documentation: Document your work clearly so models and analysis are easy to understand, review and build on.
- Collaboration: Work closely with Product, Engineering, Data Engineering and Credit Strategy, and actively seek feedback from senior data scientists to develop your technical and commercial skills.
Requirements
- 0–2 years' experience in data science, quantitative analysis or a related field.
- Degree in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science or a related discipline.
- Solid grounding in statistics and an understanding of core machine learning techniques.
- Working knowledge of Python and SQL, with experience handling and analysing real-world datasets.
- Ability to explain analytical work clearly to both technical and non-technical stakeholders.
- Curious, pragmatic and commercially minded, with a desire to understand how models drive business outcomes.
- Eagerness to learn, take on feedback and grow within a collaborative team.
- Exposure to credit risk modelling or financial services is a plus.
- The Perks
- We trust you, so we offer flexible working hours, as long as it suits both you and your team.
- Physical and mental health support through our partnership with WellHub, giving free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, and digital fitness and nutrition apps.
- Our company offers extended and improved maternity and paternity leave choices, giving employees more flexibility and support.
- Cycle-to-Work Scheme.
- Health and Life Insurance.
- Pension Scheme.
- 25 days of Annual Leave (plus Bank Holidays).
- Office snacks every day.
- Friendly, comfortable, and informal office environment in Central London.
- Teya is proud to be an equal opportunity employer.
- We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all.
- If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application—we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.
Preferred Qualifications
- Exposure to credit risk modelling or financial services is a plus.
About Teya
Financial platform for local businesses.
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