Data Scientist

About us
Tiimely is a platform technology company powering the next generation of financial services products and experiences, enabling greater efficiency, transparency and engagement in lending processes. Tiimely’s proprietary AI-driven platform can be licensed as an end-to-end digital home loan or via software and API solutions that can be utilised across any financial assessment journey. It is currently licensed by 2 of Australia’s larger banks, ASX Top 100 listed companies, fintechs, brokers as well as its own in-house retail business, Tiimely Home.

The position
The Data Scientist will be responsible for embedding automation and Artificial Intelligence into our platform. You will also build and solve complex business problems at Tiimely.
You will work with a wide range of stakeholders and functional teams to advise and collaborate on data's potential. This role involves solving complex business problems using data science techniques and methods.
This crucial role will see you be involved in all elements of AI model development lifecycles, from design, data pre-processing, feature engineering, training, testing, and validation to deployment.
You’re someone who is passionate about your craft and enjoy keeping your skills up to date while following best practices.
Your other responsibilities will include:

• Understand best practices and the latest advancements in data science and AI. This includes advocating for platform automation and ethical use of data and Artificial Intelligence.
  
• Promote Tiimely’s data capability and drive a culture of value creation with data through robust measurement of outcomes and benefits realisation.• Drive the adoption of data science techniques and methods in platform solutions where appropriate.
  
• Maintain and improve standards and procedures for the model development lifecycle.
  
• Build, assess, and optimize models to solve real problems, ensuring understanding of the business domain, interpretability, scalability, maintainability, and overall performance.
  
• Write clean, maintainable, and efficient code following coding standards and practices, ensuring proper documentation.
  
• Build and maintain ETL data pipelines from various sources into an analytics environment suitable for analysis, reporting, and modelling.
  
• Measure and advise on data integrity and quality to ensure accurate data and reporting, supporting business processes where required.
  
• Collaborate with cross-functional teams, including Delivery, Tech, Data, and other business stakeholders.
  
• Work with software engineers to integrate data science elements into solution design.
  
• Quality assurance of the team’s work in accordance with team processes.
  
• Perform advanced analysis to support business decision-making and look for opportunities where automation, modelling, or data can solve business problems more effectively.
  
  

The successful candidate
Here’s some of the things we’d like you to bring:

• Strong stakeholder management skills across all levels of seniority including excellent communication skills, both verbal and written.
  
• Demonstrated ability to lead, influence, and inspire the organisation to solve complex business problems.
  
• Demonstrated experience in one or more analytical programming languages, preferably Python.
  
• Proficient in SQL and data science frameworks, packages, and tools, including common libraries (e.g. AWS Sagemaker, pandas, transformers, NLTK, TensorFlow, scikit-learn, matplotlib, Jupyter notebooks).
  
• Strong understanding of big data principles.
  
• Demonstrated experience building and maintaining data pipelines.
  
• Strong understanding of Agile development methodologies.
  
• It is highly desirable if you hold tertiary qualifications in Mathematics, Statistics, Engineering, an Analytical discipline, or equivalent experience.
  
  

What's in it for you?

• An attractive remuneration package.
  
• Our enviable and generous employee share schemes.
  
• We support flexibility with hybrid work arrangements to balance your work and lifestyle.
  
• Our Adelaide HQ has a vibrant culture and workspaces.
  
• Be part of a successful company, experiencing solid growth, building technology and creating experiences that customers love.
  
  

Whilst all our job opportunities have specific criteria, if the above describes who you are but you don’t tick all our boxes, we still encourage you to apply. If you have any questions, you can get in touch with Karam Singh at karam.singh@tiimely.com
Please let us know if you require any support or adjustments to be made to our hiring process, so that you can participate fully in our recruitment experience.
We’re proud to be recognised as a certified Great Place to Work and Best Places to Work for Women in Australia.