Data Scientist

Lumi

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profile Job Location:

Sydney - Australia

profile Monthly Salary: Not Disclosed
Posted on: 4 hours ago
Vacancies: 1 Vacancy

Job Summary

Data Science is expanding into all areas at Lumi and we are looking for a junior-to-mid level Data Scientist to help foster its growth. This role is uniquely suited to a practitioner who views data through a mathematical and statistical lens. This role will be the primary steward of Lumis current models - ensuring they remain theoretically sound and accurate - while supporting the development of new models and conducting deep-dive statistical analyses to derive actionable insights across the business.

 

The Role

  • Model Stewardship: perform ongoing maintenance updates and performance monitoring of live models to detect performance degradation and statistical anomalies to ensure our models remain fit for purpose as market conditions evolve.
  • Model Development: assist the Lead Data Scientist in the end-to-end development of new models from feature engineering to data validation.
  • Inference & Statistics: conduct robust statistical analyses (hypothesis testing significance testing) to provide clarity in areas of business uncertainty.
  • Data Integrity & Retrieval: design and execute data queries to retrieve and cleanse data ensuring the underlying distributions are understood and verified before use in modeling.
  • Cross-Team Collaboration: work with disparate teams to understand their goals and translate their business constraints into mathematical frameworks.
  • Communication: provide clear written and verbal communication with a specific focus on translating complex statistical concepts into intuitive narratives for non-technical stakeholders.

Qualifications :

This Person Is Someone With

  • Demonstrated experience in a Data Science role.
  • Bachelors degree with Honours (Masters or PhD highly preferred) in statistics mathematics econometrics or a related quantitative field or equivalent relevant experience.
  • Proven experience in statistical modeling (e.g. GLMs clustering regression classification) and a deep understanding of experimental design.
  • Strong experience in Python (required). Experience in other statistical tooling like R is advantageous.
  • Solid SQL skills.
  • Experience in data visualisation using tools/libraries like Tableau Seaborn Matplotlib GGplot Plotly to communicate findings.
  • Experience with cloud computing (especially Databricks but could also include AWS GCP etc.) - highly desired.
  • Familiarity with version control (Git/Bitbucket) and a commitment to writing reproducible well-documented code.
  • Strong ability to communicate and collaborate with both technical and non-technical stakeholders.
  • Ability to apply AI and agentic methods to streamline business processes highly regarded.

Additional Information :

Perks & Benefits

Wellbeing: Free counselling seasonal activities Wellbeing Allowance wellness room flu shots

Work Life: Home Workspace Allowance Purchased Leave Parental Leave Parental Flex Leave Lumi Life Leave for challenging events breastfeeding/expressing space

Social & Food: Monthly lunches regular celebrations stocked kitchen beer & kombucha on tap board games rooftop BBQs

Rewards & Recognition: Competitive pay referral bonuses shout-out recognitions

Community Support: Paid volunteer leave diversity celebrations company volunteer days

Career & Growth: Rapid advancement opportunities higher education sponsorship hackathons


Remote Work :

No


Employment Type :

Full-time

Data Science is expanding into all areas at Lumi and we are looking for a junior-to-mid level Data Scientist to help foster its growth. This role is uniquely suited to a practitioner who views data through a mathematical and statistical lens. This role will be the primary steward of Lumis current mo...
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About Company

WHO IS LUMI?We’re a leading Fintech small business lender fuelling growth by making finance more accessible.We deliver fast & flexible funding designed to meet the unique needs of Australian businesses. With over $1.5 billion funded since 2018 and backing for 15,000+ small businesses, ... View more

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