Data Scientist at Lumi

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

22 Jun, 26

Salary

0.0

Posted On

24 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Model Maintenance, Model Development, Statistical Analysis, Hypothesis Testing, Data Querying, Data Cleansing, Feature Engineering, Python, SQL, Tableau, Seaborn, Matplotlib, Git, Bitbucket, Communication, Agentic Methods

Industry

Financial Services

Description

Company Description 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, we're trusted for our speed, high quality service, and tailored approach. Working At Lumi We are building a culture where you can grow and make a difference for customers. We are looking for people to join us on this journey who are passionate, curious and great problem-solvers. We are incredibly proud of our awards, including most recently our Deputy CEO, Anna Hawter, receiving the Finnies’ 2025 Outstanding FinTech Leader of the Year award. We also ranked in the top #3 on the 2024 Australian Financial Review BOSS Best Places to Work Banking, Superannuation and Financial Services list, 2023 Best Workplace Diversity Award by FinTech Australia and the 2022 Empowering Innovation Affie Award. We also ranked #36 among the fastest-growing technology companies in Australia in the 2022 Deloitte Technology Fast 50 Australia. We foster a workplace where everyone feels a sense of belonging and respect and can reach their full potential. If you need any adjustments for a fair recruitment process, please let us know when applying. Our Values Egos at the door We own. We don’t judge. We don’t blame. We are open. We are in this together. We are respectful. See the customer We show up. We understand. We anticipate. We do what we say. We genuinely focus on solutions. Think lean We make things simple. We are resourceful. We understand the problem. We think ahead. Learn to grow We are curious. We challenge. We try. We fail forward. We learn. We try again. Job Description 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 Lumi’s 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. Bachelor’s 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

Responsibilities

This role involves the primary stewardship of existing models, ensuring their theoretical soundness and accuracy through ongoing maintenance and performance monitoring. Additionally, the Data Scientist will support the development of new models and conduct deep-dive statistical analyses to generate actionable business insights.