Data Scientist: Credit Risk & Impact (Hybrid, London)

Oodle Car Finance; Greater London; Hybrid; GBP 70,000 - 95,000; Full time

Benefits offered by this job

25 days holiday

Private Medical

Health cash plan

Pension 5%

Free breakfast

Employee discounts

Volunteer day

Mental health care

Sick leave

Family leave

Job summary

Oodle is seeking a Data Scientist to advance our data science capability in a fast-paced credit risk environment in London. The role offers a hybrid model with 2-3 days in the office near Liverpool Street.

You will build and deploy models such as credit risk scorecards, loss forecasting, and collections models; Python and SQL are central; 3+ years' data science experience required. The team is part of Pricing and Credit Decisioning, based in London.

Qualifications

• 3+ years of data science work experience.
• Hands-on with data wrangling, exploration, and deep data understanding.
• Proficiency in Python with SQL knowledge.

Responsibilities

• Develop and iterate on data science models and algorithms, leveraging internal and external data such as credit bureau data and loan performance data.
• Write production-quality code and deploy to production, including testing and documentation, in collaboration with software engineers.
• Maintain and develop Oodle’s automated loan decisioning system: a system which is fundamental to the success of the business, underpinning responsible lending and good customer outcomes.
• Support model monitoring and governance.
• Conduct exploratory analyses as an integral part of the data science project life cycle.
• Partner with subject matter experts (e.g. in credit, pricing, operations) to create solutions that are technically rigorous, interpretable, and align with business requirements.
• Communicate to stakeholders across the business on model behaviour, performance, limitations, and trade-offs.
• Contribute to the design and evolution of the data and technology stack, to support scalable and reliable delivery of data science work.
• Contribute to a culture of knowledge-sharing, continuous improvement, and technical rigour in the data science team, and role model these principles within our analytics community.

Skills

Statistical modelling

Machine learning

Data wrangling

Data exploration

Tools

Python

SQL

Job description

Oodle is seeking a Data Scientist to advance our data science capability in a fast-paced credit risk environment in London. The role offers a hybrid model with 2-3 days in the office near Liverpool Street.

You will build and deploy models such as credit risk scorecards, loss forecasting, and collections models; Python and SQL are central; 3+ years' data science experience required. The team is part of Pricing and Credit Decisioning, based in London.