Data Scientist, Machine Learning

About Mox

Mox is built by and for the ones who aspire to live life to the fullest – we call them Generation Mox! The name Mox reflects the endless opportunities we can create, - Mobile eXperience; Money eXperience; Money X (multiplier), eXponential growth, eXploration… it’s all up for us to define together.

Why Mox

Everything at Mox – from our products, features, to rewards – is designed based on customer research, tailor made for your needs. We care about what customers care about, especially in data security and privacy. Data ethics is core to everyone here at Mox.

Mox rewards you with an array of banking and lifestyle benefits. Who says banking can’t be fun?

Who are we looking for?

We are now looking for a Data Scientist, Machine Learning! This role reports directly to the Lead Data Scientist, Data Department.



  • As a Machine Learning (ML) focused Data Scientist, you'd be working with us as the driver and implementer of in-house ML models based on the troves of data we have as a digital-first business.
  • Your work will span the ML model lifecycle; from model scoping, data exploration, feature transformation and developing models, to deploying and monitoring performance of developed models.
  • You will be a champion for ensuring that solid engineering principles are upheld, while leading the way on a data-driven and experimentation-led approach to ML.
  • Mox aim’s to be the global benchmark for banking and your work through modelling is expected to take us closer to that point.


We expect candidates to have had demonstrable experience collaborating with business users, and engineers to translate business problems that require modelling into solutions or products that incorporate Machine Learning components.

Candidates should have in-depth experience in a subset of the following skills and technologies and be interested in filling any gaps in knowledge as needed on the job. More importantly, we seek people who can focus on business value, without compromising on best practices and quality output. We also value good communication and fluency in English for collaboration with teammates and stakeholders alike.

  • Proficiency using Python and SQL for data analysis and modelling with large data sets.
  • Proficiency with a variety of machine learning techniques (clustering, decision tree and gradient boosting, neural networks, etc.) and understand their real-world advantages/drawbacks.
  • Experience using data science environments to develop, deploy and monitor machine learning models at score (eg. AWS Sagemaker, Jupyter, MLFlow).
  • ML frameworks and tools: Pandas, Numpy, Sci-Kit Learn, Keras, Pytorch.
  • Experience using business intelligence platforms (eg. Tableau, PowerBI) to visualize, explore and share data.
  • General AWS services (or other cloud platform equivalents): Glue, Athena, S3.
  • Experience applying multivariate experimentation and hypothesis testing.
  • Agile/Lean project methodologies and rituals: Scrum, Kanban.
  • Version control: git commands, branching strategies, collaboration etiquette, documentation best practices.
  • Workflow scheduling and monitoring tools: Apache Airflow, Luigi, AWS Batch.

To be eligible for internal referrals at Mox Bank, you must be referred by a full time permanent employee of Mox Bank.