Data Science Leader
2 days ago
Genesis is one of New Zealand's leading energy retailers, supplying electricity, natural gas, and LPG to over half a million customers. Our goal is to be New Zealanders' first choice for energy management, striving to deliver new products and services, challenge the status quo, be bold, and innovative while taking responsibility for our customers and what matters to them.
About Our Data, Analytics, AI & Insights TeamWe are committed to harnessing the full potential of data to lead our business into a new era of innovation and excellence. Our Data team enables us to make data-driven decisions and deliver exceptional value to our stakeholders. We are looking for dynamic individuals who thrive in a fast-paced environment to join us and be part of this exciting journey.
About The RoleAs a Senior Data Scientist, you will support the strategy, planning, and delivery of impactful data solutions across our business. You will have the opportunity to work on your own projects and provide thought leadership in transforming our data science practices. This role offers an exciting opportunity to drive data-driven decision-making and develop advanced analytics solutions using tools such as LLMs and Gen-AI.
Your Key Responsibilities:- Manage data science projects from ideation through to deployment and productionisation.
- Shape our data science practice capability through mentoring the Data Science team in applying analytical techniques and conducting peer reviews.
- Collaborate with business unit leaders to enhance the use of analytical capabilities for value management decisions.
- Plan and implement shared datasets and data integration for new business initiatives and features.
- Provide input to strategic data management and technology roadmaps to meet existing and future requirements.
We are looking for a proactive and technically skilled individual passionate about designing, developing, testing, and deploying impactful data solutions. Our ideal candidate will have extensive experience in data science managing solutions from ideation through to productionisation.
The successful candidate will have exposure to advanced analytics including statistical forecasting, predictive modelling, machine learning, and Gen-AI. Skilled coding languages such as Python or R are essential. Knowledge and hands-on experience with Azure ML and Databricks are also required.
The ability to connect data insights to user needs and product opportunities, shaping solutions that deliver value, is crucial. Experience in mentoring and coaching within a data science environment and operating as a champion and thought leader in best practices is also desired.
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