Mid Level Data Scientist/Machine Learning Engineer

Mid-Level Data Scientist/Machine Learning Engineer

Rich Data Corporation

Sydney, Australia

Full-time

Hybrid and flexible working arrangements

About RDC

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 behaviour, 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.

About the Role

Rich Data Co is a cloud native AI Decisioning company whose purpose is financial inclusion and increasing global access to credit. To achieve this, the Data Science function is key to our organisational success. As we look to expand in North America and grow our world-class team, we are seeking a Mid-Level Data Scientist/Machine Learning Engineer to join our Sydney based team. This role will work closely with our customers on developing AI based solutions to solve complex credit-based decisions in the SMB and Commercially lending space.

Key Accountabilities of the Role

• 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.
• Support discovery engagement and develop prototypes to be deployed on the RDC platform for clients across new use-cases in SMB and Commercial lending within ANZ/North America
• Support Scaling Up RDC Data Science Tooling, RDC AI R&D and AI Collaboration with universities and AI research organisations/institutes.
• 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

Your Skills & Experience

As part of our strengths-based culture, we value the uniqueness of what you bring to the table and how each person’s strengths work together to form our world-class team.

For the Mid-Level Data Scientist/Machine Learning Engineer position, candidates should have at least 6 years’ experience in the Data Science domain. You will also have an advanced degree in Computer Science, Data Science, Mathematics, Operation Research or Statistics, post graduate degree in relevant field preferred.

You will be proficient in programming language Python and SQL. Familiarity with Pandas and Scikit-learn is required. Exposure to other languages such as R, Perl, SAS will also be beneficial.

Knowledge of a wide variety of machine learning and statistical based modelling techniques is essential. You will also be comfortable working with non-traditional data sources such as transaction data, accounting data, e-commerce data.

We strongly prefer candidates with real-world Banking/ Financial Services experience within Australia, New Zealand or North America. The best fit for this role is that you are already working for:

• A Bank or Financial services organisation within North America
• FinTech organisation working in the SMB domain
• Financial Software Company that specialises in AI i.e., Moody’s, S&P, Experian, FICO, SAS
• A Management Consulting Firm (eg: Oliver Wyman, PwC, E&Y, KPMG, Deloitte, Accenture) that specialises in model development.

You have a broad, big-picture understanding of Credit and how it impacts businesses and can communicate with both business and technical people. You understand the challenges banks face in understanding the decision-making process behind the lending process. Strong engagement and communication skills is critical for this role. You will be comfortable engaging in conversation with Businesspeople up to Head of Data Science/Business level.

What's Next?

If this sounds like you, get in touch or apply now. Our Head of Talent and Capability would love to speak with you! Get ready for the #futureofcredit

Please note candidates must have Australian working rights.