Senior Data Scientist
24 hours ago
Reporting to the Data & Analytics Lead, the Data Scientist unlocks value from Avanti's data by delivering smart, impactful analytics. You'll scope, design, prototype, and deploy data products using advanced statistical methods and cutting-edge algorithms - providing insight, not just information, and guiding stakeholders toward solutions that exceed expectations.
Working in cross-functional teams with Data Engineers, Analysts, and Governance specialists, you'll lead initiatives that drive business outcomes across pricing, risk, profitability, and customer insights. You'll champion innovation, challenge assumptions, and shape methodology from first engagement to final delivery.
Auckland or Christchurch location.
What you can expect to do as a Senior Data Scientist:
- Present
insights clearly across all business levels, translating complex analysis
into actionable recommendations - Act
as a trusted advisor for pricing, risk, profitability, customer analytics,
and strategic problem-solving - Facilitate
discovery workshops to refine requirements, challenge assumptions, and
shape solutions - Partner
with senior stakeholders to develop and prioritise data science roadmaps
aligned to business strategy - Lead
development of prescriptive and predictive models using advanced
statistical and machine learning techniques - Work
with Engineers and Developers to deploy data science solutions from
prototype to production (MLOps) - Research
and introduce cutting-edge methodologies, algorithms, and tools to improve
capabilities - Develop
and implement AI user policies promoting ethical use of Generative and
Agentic AI - Mentor
team members and run workshops on data science best practices and
innovative approaches
What we look for in the successful candidate:
- Advanced
degree in Statistics, Computer Science, Applied Mathematics, or related
field - 5+
years in Data Science and/or AI Engineering, including Predictive AI
(supervised/unsupervised), Generative AI (Prompt, Fine-tuning, RAG),
Agentic AI, and data mining - Strong
understanding of productionised MLOps environments with robust automated
solutions - Proficient
in Python, R, and SQL with proven ability to develop production-ready
solutions - Experience
with back-end or front-end ML/AI applications (e.g., Snowflake AI) - Experience
with data visualization tools (Power BI, Tableau) and translating models
into clear insights - Track
record developing data products in agile environments with
cross-functional teams - Working
knowledge of cloud platforms (AWS, Azure, Snowflake) and modern data
architectures - Financial
services or lending experience valued but not essential
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