LMG is the largest and most progressive aggregator group across Australia and New Zealand supporting a community of over 6,000 brokers and advisers. Proudly family-owned and led, LMG supports businesses operating under their own brand, or the Loan Market brand, and partners with over 70 banks and lenders. The business has grown rapidly, with LMG brokers in both countries helping over 330,000 customers settle over $126 billion worth of loans in FY24.
We're not a conventional company with a lot of rules and hierarchy, and we don't intend to become one. We live our values in everything we do: Compassion for our customers, doing what we say, being curious and thinking openly, going further together, and staying hungry but humble. We're a large company with a start-up attitude. Our success is driven by hiring outstanding people and accepting nothing less than being the best at what we do.
About the role:
As a Senior Data Scientist, you'll be a key contributor in our Data & Analytics team, leading the development and implementation of cutting-edge AI and ML solutions. You'll work closely with business stakeholders, data engineers, data modellers, software engineers and analysts to deliver impactful, data-driven outcomes. This is a high-impact role where you'll have the opportunity to shape the future of LMG and make a real difference in the lives of our customers.
This is a hybrid role (2 days in the office per week) that can be done from Sydney, Melbourne or Brisbane
Key Responsibilities:
* Design, develop, and implement AI and machine learning solutions to address complex business challenges.
* Evaluate and optimize model performance to ensure accuracy, stability, and scalability.
* Collaborate with data engineering teams to deploy models on Google Cloud Platform (GCP) and integrate them seamlessly into existing workflows.
* Leverage dbt (Data Build Tool) to create reusable features for the data and analytics community at LMG.
* Stay at the forefront of industry trends in AI, machine learning, and data science, driving innovation and continuous improvement within the team.
* Communicate technical insights and recommendations effectively to both technical and non-technical stakeholders.
* Mentor and guide junior data scientists to foster their growth and development.
To succeed in this role you will bring with you:
* A degree in Statistics, Computer Science, or a related quantitative field (Masters or PhD in Data Science will be an advantage)
* 5+ years of hands-on experience in data science, including model development, deployment, and productionization.
* Strong proficiency in Python and SQL for data manipulation, analysis, and machine learning model development.
* Experience with cloud platforms like Google Cloud Platform (GCP) and its services (BigQuery, Vertex AI, etc.).
* Proven ability to translate business problems into data science solutions and deliver impactful results.
* Excellent communication and presentation skills with the ability to explain complex technical concepts to diverse audiences.
* Experience with dbt (Data Build Tool) is a significant advantage.
* Strong leadership skills with the ability to mentor and guide junior team members.
Flexibility & Balance
* Hybrid & Flexible Working
* 6 'Me' Days: Extra leave to prioritise personal time.
* Religious & Cultural Swap Leave: Trade a public holiday for one that's meaningful to you.
* Extra Annual Leave: Need more time off? Purchase additional leave to recharge.
Family & Wellbeing
* 16 Weeks Paid Parental Leave: Plus up to 52 weeks of paid superannuation.
* Paid Fertility Treatment Leave: Support when navigating your fertility journey.
* 12 Days Personal Leave: Time off when life happens.
* Wellbeing Support: Access to EAP for personal, financial, and career advice.
Growth & Development
* Paid Study Leave: Support for your studies.
* L&D Programs: Grow your skillset and advance your career with tailored learning programs.
* Accelerate Program: Development opportunities for high performers.
Community
* LMG Share Tomorrow Foundation: Earn volunteer donation rewards and company donation matching.
* Paid Volunteer Day: Volunteer with paid time off
At LMG, we know that diversity and inclusion are key to our success. We're dedicated to building a workplace where everyone feels valued, respected, and supported—no matter their race, gender identity, sexual orientation, religion, age, or any other part of who they are. We understand that diverse perspectives fuel innovation and drive business growth. As an inclusive employer, we foster a culture where everyone has the opportunity to thrive and show up as their authentic selves every day.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering, Information Technology, and Science
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