Senior Data Scientist

Key Skills

Aartificial intelligence, Data Discovery, Data science techniques, Design, Generative AI, Java Programming, Large Language Models - LLMs, Machine learning techniques, Perl Programming, Python Programming, R Programming, SAS, Scala Programming, SQL

Job Description

Rich Data Co (RDC) Delivering the Future of Credit Today! We believe credit should be accessible, fair, inclusive, and sustainable. We are passionate about AI and developing new techniques that leverage traditional and non-traditional data to get the right decision in a clear and explainable way. Global leading financial institutions are leveraging RDC’s AI decisioning platform to offer credit in a way that aligns to the customers’ needs and expectations. RDC uses explainable AI to provide banks with deeper insight into borrower behavior, enabling more accurate and efficient lending decisions to businesses.

Join the Future of Credit!

• Work at a 5-Star Employer of Choice 2023- RDC was named one of HRD Australia’s "best companies to work for in Australia".
• Join a fast-growing global AI company- Grow your skills, capabilities and gain AI and global experience.
• High performance team- Work alongside some of the best product teams, data scientists and credit experts in the industry.
• Vibrant team culture- Join an innovative and agile team who celebrates wins and solves problems together.
• Work-life balance- Highly flexible working arrangements - work how’s right for you!
• Financial inclusion- Be part of a company that is striving for global financial inclusion and driving the future of credit.

Purpose of Role

RDC is a cloud native AI Decisioning company whose purpose is financial inclusion and increasing global access to credit. To achieve this, the Data Science / Modeler function is key to our organizational success. As we expand in North America and grow our world-class team, we seek a Lead or Senior Data Science subject matter expert to join our team. The Data Scientist will work closely with our Credit Advisor and customers on developing AI-based solutions, to help RDC’s customers improve and automate their credit provisioning and management strategies. We will work together to solve complex credit-based decisions in the Small and Midsize Business and Commercial lending space.

Accountability & Outcomes

The role will involve the following key accountabilities:

• Designing, Presenting & documenting AI based initiatives to our clients, typically banking and risk executives.
• Design use cases for clients with clear objectives and success criteria, matching our AI platform capabilities and client needs.
• Develop data processing solutions and machine learned models to address the business objective of our clients using RDC platform.
• Lead discovery engagement and develop prototypes to be deployed on the RDC platform for clients across new use cases in SMB and Commercial lending in North America.
• Support sales, client advisory and client delivery team to achieve expected business outcomes as agreed with our clients.
• Help mentor and train more junior Data Science team members on RDC methodologies and AI best practices.

Essential-Qualifications

• Advanced degree in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree.
• Programming experience in Python for 3+ years.
• Programming in SQL for 1+ years.
• Programming experience in Python and SQL, including machine learning techniques.
• Knowledge of data discovery, statistics, and data-driven model discovery, development, and validation, and tracking.
• Ability to learn and adapt to new or emerging modeling techniques (e.g., LLM, GenAI, LSTM, etc.)
• Experience presenting to technical, and non-technical stakeholders, including senior leadership.
• Occasional travel to the customer site is expected (estimated 10-25% travel).

Desired-Qualifications

• Experience working with traditional and non-traditional data sources such as transaction, accounting, and e-commerce data.
• Understanding of the decision-making process behind the lending process.
• Experience with commercial and/or business lending.
• Experience developing and managing quantitative credit risk models including credit decisioning models.
• Experience in credit risk analysis, strategy design, and monitoring.
• Experience with additional programming languages is nice-to-have (e.g., Java, Scala, R, SAS, Perl, etc.)