Data Scientist, Credit & Analytics (Hybrid)

Wwshemi; Greater London; Hybrid; GBP 45,000 - 70,000; Full time

Benefits offered by this job

Hybrid working

Flexible hours

WellBeing support

Cycle-to-Work

Pension

Job summary

Teya in London is seeking a Data Scientist to join the Credit & Analytics team and help build the models underpinning our lending products across geographies.

You will work across the model lifecycle, from data exploration and feature development through to deployment and performance monitoring, learning how to develop models in a statistically sound way and how they shape credit decisions and portfolio performance.

Qualifications

• Early in your data science career, with some experience in data science, quantitative analysis or a related field (including internships, research or substantial academic projects).
• Degree in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science or a related discipline.
• A 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.

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.

Skills

Python

SQL

Data science

Statistics

Machine learning

Education

Degree in a quantitative field

Job description

Teya in London is seeking a Data Scientist to join the Credit & Analytics team and help build the models underpinning our lending products across geographies.

You will work across the model lifecycle, from data exploration and feature development through to deployment and performance monitoring, learning how to develop models in a statistically sound way and how they shape credit decisions and portfolio performance.