At a Glance
- Tasks: Lead the development of innovative AI and ML solutions to solve complex business challenges.
- Company: Join a forward-thinking company shaping the future of data science and analytics.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Mentor junior data scientists and stay ahead of industry trends in AI and machine learning.
- Why this job: Make a real impact on customers' lives while working with cutting-edge technology.
- Qualifications: 5+ years in data science, strong Python and SQL skills, and a relevant degree.
The predicted salary is between 63000 - 77000 $ per year.
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). We are looking for candidates in either Sydney (preferable) or Melbourne.
Duties and Responsibilities
- Design, develop, and implement AI and machine learning solutions to address complex business challenges.
- Translate business problems into clear technical approaches, success measures and delivery plans.
- Select appropriate approaches across generative AI, machine learning and statistical methods, balancing quality, complexity, cost and maintainability.
- Establish evaluation frameworks, representative test datasets and automated checks to assess quality, reliability and business impact before and after release.
- Work with Product, Engineering and Data Engineering to deliver scalable, maintainable AI solutions and integrate them into business products and workflows.
- Guide the design of agentic workflows, including tool integration, access controls, failure handling and appropriate human review.
- Establish and promote good practices for experimentation, testing, code review, documentation and responsible AI.
- Communicate technical choices, trade-offs, limitations and recommendations clearly to stakeholders.
- Mentor and guide junior data scientists to foster their growth and development.
- 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.
- Skill and experience required
- A degree in Statistics, Computer Science, Data Science or a related quantitative field (Masters or Ph D 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.
- Demonstrated experience delivering LLM applications, with practical knowledge of RAG, tool use and AI evaluation.
- Strong foundations in statistics, machine learning and experimental design.
- Experience deploying and operating solutions on cloud platforms and working with modern data infrastructure.
- 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 mentoring others and improving technical practices within a team.
- Experience delivering agentic AI workflows into production.
- Experience with dbt or similar data transformation tools.
- Experience applying AI in financial services or other environments involving sensitive data.
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).
We are looking for candidates in either Sydney (preferable) or Melbourne.
Duties and
Responsibilities
- Design, develop, and implement AI and machine learning solutions to address complex business challenges.
- Translate business problems into clear technical approaches, success measures and delivery plans.
- Select appropriate approaches across generative AI, machine learning and statistical methods, balancing quality, complexity, cost and maintainability.
- Establish evaluation frameworks, representative test datasets and automated checks to assess quality, reliability and business impact before and after release.
- Work with Product, Engineering and Data Engineering to deliver scalable, maintainable AI solutions and integrate them into business products and workflows.
- Guide the design of agentic workflows, including tool integration, access controls, failure handling and appropriate human review.
- Establish and promote good practices for experimentation, testing, code review, documentation and responsible AI.
- Communicate technical choices, trade-offs, limitations and recommendations clearly to stakeholders.
- Mentor and guide junior data scientists to foster their growth and development.
- 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.
Skill and experience required
- A degree in Statistics, Computer Science, Data Science or a related quantitative field (Masters or Ph D 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.
- Demonstrated experience delivering LLM applications, with practical knowledge of RAG, tool use and AI evaluation.
- Strong foundations in statistics, machine learning and experimental design.
- Experience deploying and operating solutions on cloud platforms and working with modern data infrastructure.
- 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 mentoring others and improving technical practices within a team.
- Experience delivering agentic AI workflows into production.
- Experience with dbt or similar data transformation tools.
- Experience applying AI in financial services or other environments involving sensitive data.
Senior Data Scientist in Melbourne employer: Ray White
Ray White is an excellent employer that fosters a collaborative and innovative work culture, making it an ideal place for an Analytics Engineer to thrive. With flexible hybrid working arrangements and a focus on employee growth, you will have the opportunity to develop your skills while contributing to impactful data-driven initiatives in a vibrant city like Brisbane, Melbourne, or Sydney. The company values its employees and offers a supportive environment that encourages professional development and meaningful contributions to the team.
