As a Lead Data Scientist, you will be responsible for developing and implementing data science strategy – which spans analytics through to machine learning across product development, performance improvement and risk management.

If you’re driven to succeed, have a desire to provide exceptional service and want to work for a company you’d be proud to tell your friends about; this is the perfect opportunity for you.

Responsibilities

• Data Strategy
  • Contributing to the development of our client’s approach to the collection and use of data assets across the business.
  • Ensuring the quality of data and information across the business and providing the basis of high trust in all of data assets.
  • Selection of quantitative and qualitative methodologies in business decisioning.
  • Input into the development of the data and BI infrastructure, ensuring the business is equipped to make data-driven decisions and that the tools, methodology and infrastructure will scale with the business.
• Analytics
  • Development and implementation of Machine Learning approach across all business applications and domains – from pricing to risk management and beyond. This will include:
    • Developing and training machine learning models to scale workflows for both customers and internal users.
    • Support new product development ideas by providing guidance on the best use of AI/ML to develop products or supporting tools.
    • Create the technical vision for the team on both data analytic foundations and advanced models.
    • Working with the business across research and day-to-day activity to provide tools, insights and BI to support decision making.
  • Using data and analysis techniques to identify:
    • Product improvements – including cross sell / up sell, improved personalisation, pricing and risk management
    • Process improvement – including funnel optimisation, churn / loss reduction, improvements to the business’ forecasting approach
    • Monetisation opportunities of data assets

Qualifications

• 5+ years of experience in BI / Data Science in a high growth environment
• Strong mathematical & numeracy skills
• Extensive experience in SQL, noSQL, Python / R / Matlab
• Understanding of ETL framework and ETL tools including Skyvia, FiveTran, Apache Airflow
• Excellent analytical skills – the ability to identify trends, patterns and insights from data
• Experience with ML / AI models and their application to business problems such as churn, cross sell, risk assessment and other
• Experience interpreting data and analysis to translate these insights into actionable outcomes / business decisions that improve strategy, product and operations.
• A background in SME lending, challenger banks, and other disruptive fintechs will be a natural advantage in this role. A person who has practical experience in developing risk scorecards and automating underwriting processes will also have a head-start
• Experience in bank or non-bank financial institution lenders is highly advantageous

Attributes

• Loves challenging the status-quo
• Ability to work autonomously yet collaboratively
• Strong attention to detail
• Presentation skills – ability to write and speak clearly to easily communicate complex ideas in a way that is easy to understand
• Structured problem solving skills and comfortable with ambiguity
• Be able to continually balance speed, perfection, and actionable outcomes from your analysis