Description:
This role offers an excellent opportunity for a data science professional to develop within a rapidly growing organisation. The data science team is responsible for delivering insight across our marketing, fraud, underwriting, and customer management strategies. The successful candidate will be a key player in this team, providing leadership across a number of different areas. The aim of the position is to advance Oakbrook’s data science and innovation capabilities across the full customer lifecycle including developments within machine learning using innovative data sources not traditionally used by consumer finance companies.
Responsibilities
- Owning the development and maintenance of predictive models to improve customer outcomes across fraud, marketing, credit and collections
- Advance our autonomous decisioning capability including model deployment, setting policy, and testing across all areas of the business
- Developing test and learn strategies across different lines of business using data driven analysis, monitoring performance and providing clear recommendations to drive the company forward to help support the company’s ambitious growth aspirations
- Providing leadership and identifying opportunities to improve process and procedures through inquisitive analysis
KPI's and Deliverables
- Model and Analytical Development:
- Analyse, build and integrate machine learning models that have a tangible benefit to the business
- Deliver valuable insight to the business through thorough analysis and excellent communication
- Quality & Communication:
- Ensure all deliverables are accurate and error-free
- Present findings clearly to technical and non-technical audiences
What We Are Looking For
- Technical Skills
- Experience with the full lifecycle data science projects
- Experienced and knowledgeable in predictive modelling, machine learning and AI
- Good programming skills in R, SQL, Python
- Data visualisation and dashboarding e.g. Power BI
- Understanding of statistical concepts
- Structure thinking and problem-solving capabilities
- Ability to understand IT infrastructure
- Non-Technical Skills
- Commercial acumen
- Usage of Gen AI
- Exceptional Communication and Interpersonal Skills
- Strong time management skills
- Discretion when dealing with confidential information
- Self-motivated and proactive
- Keen eye for detail
- Willingness to adapt role in line with business requirements