Senior Data Scientist – AI-Driven Fintech Innovator

Lendi Group

Sydney

Hybrid

AUD 120,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Hybrid working
Wellbeing programs
Parental Leave 18–26 weeks
Loyalty Leave

Job summary

Lendi Group is seeking a Senior Data Scientist to tackle high-impact analytics challenges with ML, AI, and production-ready solutions. You will develop models end-to-end and drive scalable ML initiatives across the business.

You will work with large datasets, build feature stores, and deploy models in the cloud while advancing ML Ops practices and documentation in a fast-growing fintech environment.

Qualifications

  • Commercial experience as a Data Scientist or related role.
  • Strong knowledge of ML algorithms and mathematical fundamentals.
  • Experience deploying ML models in the cloud (e.g., Databricks).
  • Proficient in Python, R or Scala.
  • Exposure to data visualisation tools and DevOps practices (Git, dbt).

Responsibilities

  • Work with large datasets and feature stores to gain insights and train predictive models.
  • Be involved in the full product lifecycle.
  • Develop scalable and innovative ML solutions.
  • Learn and implement latest AI/ML techniques.
  • Collaborate with product managers and stakeholders to influence business outcomes.
  • Review solutions with the data team and improve coding standards.
  • Implement models end-to-end with productionisation and documentation.
  • Ensure projects are delivered on time and within budget.

Skills

Commercial data science experience
ML algorithms
Python/R/Scala
Databricks
Data visualization tools
DevOps practices

Tools

Databricks
PowerBI
Streamlit
Git
dbt

Job description

Lendi Group is seeking a Senior Data Scientist to tackle high-impact analytics challenges with ML, AI, and production-ready solutions. You will develop models end-to-end and drive scalable ML initiatives across the business.

You will work with large datasets, build feature stores, and deploy models in the cloud while advancing ML Ops practices and documentation in a fast-growing fintech environment.

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