Data Scientist

Hybrid Full TimeLondon, England, United KingdomOodle Car Finance

Role Overview

The Data Scientist will join the Pricing and Credit Decisioning team, helping to develop and deploy data science models and algorithms affecting Oodle’s key business objectives. The role involves working with the wider Data team, Profitability function, Product, and Engineering to drive business outcomes.

What You Will Do

Develop and iterate on data science models and algorithms, leveraging internal and external data. Write production-quality code and deploy to production, including testing and documentation. Maintain and develop Oodle’s automated loan decisioning system.

Why It Might Be a Fit

The role will be a great fit if you have demonstrable experience building, validating, and iterating on statistical or machine-learning models, and skills in contextualising data, applying domain understanding, and exercising judgement when training and evaluating models.

Requirements

  • Demonstrable experience building, validating, and iterating on statistical or machine-learning models
  • Programming experience in Python, with a working knowledge of SQL
  • Solid understanding of regression and classification principles, including model assumptions, validation techniques, and performance metrics
  • Good communication and interpersonal skills

Benefits

  • Discretionary Company Bonus Scheme
  • 25 days holiday (rising to 28 after 3 years’ service) plus bank holidays
  • Private Medical – via vitality
  • Health cash plan – via health shield
  • Pension – Oodle will contribute 5% of your salary into your pension pot
  • Free breakfast, drinks and fruit in the office
  • Employee discounts
  • 1 day volunteer day per year
  • Mental health care – 6 free counselling sessions via our EAP (Employee Assistance Programme)
  • Paid sick leave – enhanced company sick pay
  • Enhanced family leave – we provide enhanced family leave for primary and secondary caregivers

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To apply for this job please visit job-boards.greenhouse.io.

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