Senior Data Scientist

We are looking for a Senior Data Scientist to join our team and collaborate with a leading organization using data and AI to deliver measurable business results. This hands-on role offers the opportunity to lead high-impact AI initiatives, shape data strategy, and mentor emerging data science talent.

Key Responsibilities:Lead High-Impact Data Science & AI Initiatives:

• Deliver technically complex AI and Data Science projects that create measurable business value.
• Build solutions such as Generative AI models, Intelligent Process Automation, and AI-enabled decision support to improve processes, optimize costs, and enhance customer experience.
• Ensure solutions are production-ready, scalable, and embedded into business processes.

Solution Design & Problem Solving:

• Collaborate with senior business stakeholders to understand challenges and design innovative, first-principles-based solutions.
• Translate business problems into actionable AI and analytics strategies that drive tangible outcomes.
• Extend solutions to production systems for operational impact.

Thought Leadership & Advocacy:

• Provide guidance and mentorship to team members and broader analytics community.
• Communicate complex AI concepts to technical and non-technical audiences, including senior executives.
• Maintain external industry networks and bring emerging Data Science & AI practices into the organization.
• Demonstrate the value of AI through prototypes, presentations, and showcases.

Team & Ecosystem Contribution:

• Mentor junior data scientists and promote best practices in analytics delivery.
• Influence the development of platforms, tools, and workflows that support scalable AI solutions.
• Support a collaborative, high-performing team environment.

Stakeholder Engagement:

• Work closely with Principal Data Scientists, technical leads, and data engineering teams.
• Collaborate with business leaders, engagement managers, and solution architects to align AI initiatives with strategy.
• Engage with external partners and vendors on advanced Data Science & AI projects.
  
  

Required Qualifications:Technical Experience:

• 7+ years of hands-on experience in Data Science, AI, or closely related disciplines - Required.
• Proven track record developing and productionizing machine learning pipelines - Required.
• Experience with Python programming and ML pipeline optimization - Required.
• Deep knowledge of machine learning algorithms and deep neural networks - Required.
• Experience with workflow automation platforms including UiPath - Required.
• Hands-on experience with Generative AI, including POCs and prototypes - Required.
• Experience with cloud-based analytics platforms (e.g., Databricks).
• Experience building low-code AI agents.

Core Technical Skills:

• Comprehensive expertise across diverse data science and AI techniques applicable to financial services or similar complex domains.
• Strong understanding of what works in practice versus theoretical approaches.
• Excellence in end-to-end solution design, balancing technical innovation with user-centered design principles.
• Ability to solve novel analytical problems without established patterns.
• Deep knowledge of ML engineering, including parallel computing, distributed processing frameworks.
• Familiarity with low-code/no-code platforms for democratizing AI development.
• Practical expertise in algorithm design and AI system architecture.

Professional Attributes:

• Pragmatic approach that balances technical excellence with practical delivery constraints.
• Strong work ethic and proactive engagement.
• Genuine commitment to team success and knowledge sharing.
• Research-oriented mindset with intellectual curiosity and analytical rigor.
• Exceptional communication skills across technical and non-technical audiences.
• Outstanding presentation abilities (verbal, written, and visual).
• Flexibility to work across different delivery modes (rapid innovation to formal project governance).
• Unwavering focus on measurable business outcomes and tangible value creation.
• Commercial acumen and understanding of business performance drivers.

Education:

• Bachelor's degree in a technical field (Data Science, Machine Learning, Statistics, Mathematics, Computer Science, Engineering, or related discipline) - Required.
• Postgraduate degree (Master's or PhD) in a relevant quantitative field - Highly Desired:
  • Candidates without postgraduate qualifications should demonstrate equivalent expertise through substantial industry experience.

About INGRITY:

We are a fast-growing, progressive Sydney-based data & analytics company. We service many large corporates and SMBs in the financial services sector, to derive value from data. At Ingrity, we are committed to building a diverse and inclusive workforce to deliver value to customers. As a value-driven organisation, we nurture and support our people by having a laser-sharp focus on skill and talent development, collaboration, and flexibility.