Job Description
Full job description
Your day-to-day:
The Data Scientist is responsible for solving complex business challenges using their advanced statistical, algorithmic and machine learning techniques to leverage data. You will architect solutions, experiment, test hypotheses, build technically sophisticated models and effectively communicate insights and outcomes to support strategic decision making.
Data Science
Build and refine predictive, time'series and recommendation models that drive personalisation and support timely, insight'led game changes.
Develop approaches to monitor and improve product, channel and organisational performance.
Lift efficiency through automation while keeping Lotto NZ future'ready by staying across emerging data'science trends.
Analytics and Insight
Deliver clear, accurate insights that deepen understanding of customer behaviour, sales and market trends.
Prepare, integrate and model data to support predictive work and strategic decision'making.
Bring data to life through compelling visualisations and proactively source new data that strengthens Lotto NZ's insight capability.
Stakeholder Engagement
Confidently present findings to a wide range of audiences, including senior leaders, enabling fast and informed decisions.
Build trusted relationships across Lotto NZ and help strengthen our Data Science practice.
Be a Lotto NZ Information Expert
Share accurate, relevant information across the organisation in smarter, more impactful ways.
Proactively develop improved methods for accessing and sharing customer and market insights that enhance decision'making.
Your team:
This role will work cross functionally where their machine learning and predictive analytics abilities can be utilised to create efficiency and optimise existing systems and processes. Reporting to the Data Science & Insights Lead, you will support the analytics team and the wider business in identifying key insights from the depths of data that cannot be easily identified or extracted.
Additionally, this role will also provide data analysis, build PowerBI dashboards and complete other adhoc reporting tasks to support the busy Data & Analytics team here at Lotto NZ.
A bit about you:
With strong practical knowledge of timeseries forecasting and financial modelling, and at least 3 years' experience in a similar role, the Lotto NZ Data Scientist with possess a deep understanding of solution design using data.
Our ideal candidate will have:
Excellent problem-solving skills and lateral thinking ability
Strong SQL and strong ability in R and/or Python.
Experience in a big data platform such as Apache Spark
Experience in ML frameworks such as Tensorflow, Keras, Sklearn etc.
A background in mathematics and statistics is advantageous
As a naturally curious person with an utmost passion for data, cutting edge technologies, and mathematical principles, the data scientist will stay abreast of emerging trends and developments to ensure Lotto NZ is continuously maximising the value in data.
Your day-to-day:
The Data Scientist is responsible for solving complex business challenges using their advanced statistical, algorithmic and machine learning techniques to leverage data. You will architect solutions, experiment, test hypotheses, build technically sophisticated models and effectively communicate insights and outcomes to support strategic decision making.
Data Science
Build and refine predictive, time'series and recommendation models that drive personalisation and support timely, insight'led game changes.
Develop approaches to monitor and improve product, channel and organisational performance.
Lift efficiency through automation while keeping Lotto NZ future'ready by staying across emerging data'science trends.
Analytics and Insight
Deliver clear, accurate insights that deepen understanding of customer behaviour, sales and market trends.
Prepare, integrate and model data to support predictive work and strategic decision'making.
Bring data to life through compelling visualisations and proactively source new data that strengthens Lotto NZ's insight capability.
Stakeholder Engagement
Confidently present findings to a wide range of audiences, including senior leaders, enabling fast and informed decisions.
Build trusted relationships across Lotto NZ and help strengthen our Data Science practice.
Be a Lotto NZ Information Expert
Share accurate, relevant information across the organisation in smarter, more impactful ways.
Proactively develop improved methods for accessing and sharing customer and market insights that enhance decision'making.
Your team:
This role will work cross functionally where their machine learning and predictive analytics abilities can be utilised to create efficiency and optimise existing systems and processes. Reporting to the Data Science & Insights Lead, you will support the analytics team and the wider business in identifying key insights from the depths of data that cannot be easily identified or extracted.
Additionally, this role will also provide data analysis, build PowerBI dashboards and complete other adhoc reporting tasks to support the busy Data & Analytics team here at Lotto NZ.
A bit about you:
With strong practical knowledge of timeseries forecasting and financial modelling, and at least 3 years' experience in a similar role, the Lotto NZ Data Scientist with possess a deep understanding of solution design using data.
Our ideal candidate will have:
Excellent problem-solving skills and lateral thinking ability
Strong SQL and strong ability in R and/or Python.
Experience in a big data platform such as Apache Spark
Experience in ML frameworks such as Tensorflow, Keras, Sklearn etc.
A background in mathematics and statistics is advantageous
As a naturally curious person with an utmost passion for data, cutting edge technologies, and mathematical principles, the data scientist will stay abreast of emerging trends and developments to ensure Lotto NZ is continuously maximising the value in data.
💡 Quick Summary
Seeking a career-building opportunity? The Data Scientist position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Auckland offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
