job details

Data Scientist ...

Location: Auckland CBD (hybrid)
Work Type: Full Time, Permanent

Job summary

Lead the design, development, and deployment of custom machine learning models and analytics applications for commercial product deployment. Accelerate data pipelines using advanced GenAI workflows within a modern cloud infrastructure.

About the business

An established commercial product provider based in Auckland CBD is expanding its technical capability. Renowned for delivering high-impact, revenue-generating analytics solutions to market, the team operates in an environment where continuous technical learning is highly valued. The work culture is highly collaborative, with a strong focus on team-oriented project success.

About the role

This position balances highly technical machine learning development with strategic client delivery. The successful candidate will design, implement, and test custom algorithms to solve complex business problems.

Key responsibilities

Design and Implement: Build custom data models, algorithms, and analytics applications for commercial product deployment.
Engage Stakeholders: Partner with internal delivery teams and external clients to understand complex problems and engineer fit-for-purpose solutions.
Optimize Pipelines: Utilize GenAI workflows (Claude) to accelerate pipeline development and architecture scaling.
Monitor Performance: Establish structured tools and processes to track model accuracy and data integrity.
Tell Data Stories: Present complex analysis and modeling outputs to diverse audiences in a clear, accessible manner.

Skills & experience required

Core Tech: Advanced Python and SQL capability alongside statistical modeling expertise (regressions, clustering).
Modern Stack: Practical experience with cloud data warehouses such as BigQuery or Snowflake.
GenAI Workflows: Familiarity with Claude workflows to accelerate data pipeline development.
GIS Technology: Practical knowledge of GIS technology (ArcGIS, PostGIS, or Postgres) is highly beneficial.
Qualifications: Tertiary degree in Mathematics, Computer Science, or a related quantitative discipline.
Best Practice: Strong grasp of version control, package management, and cross-functional team collaboration.

Please Note: Only candidates who are currently residing in New Zealand and possess valid, unrestricted working rights can be considered for this position.

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.

Data Scientist ...

Location: Auckland CBD (hybrid)
Work Type: Full Time, Permanent

Job summary

About the business

About the role

Key responsibilities

Design and Implement: Build custom data models, algorithms, and analytics applications for commercial product deployment.
Engage Stakeholders: Partner with internal delivery teams and external clients to understand complex problems and engineer fit-for-purpose solutions.
Optimize Pipelines: Utilize GenAI workflows (Claude) to accelerate pipeline development and architecture scaling.
Monitor Performance: Establish structured tools and processes to track model accuracy and data integrity.
Tell Data Stories: Present complex analysis and modeling outputs to diverse audiences in a clear, accessible manner.

Skills & experience required

Core Tech: Advanced Python and SQL capability alongside statistical modeling expertise (regressions, clustering).
Modern Stack: Practical experience with cloud data warehouses such as BigQuery or Snowflake.
GenAI Workflows: Familiarity with Claude workflows to accelerate data pipeline development.
GIS Technology: Practical knowledge of GIS technology (ArcGIS, PostGIS, or Postgres) is highly beneficial.
Qualifications: Tertiary degree in Mathematics, Computer Science, or a related quantitative discipline.
Best Practice: Strong grasp of version control, package management, and cross-functional team collaboration.

Please Note: Only candidates who are currently residing in New Zealand and possess valid, unrestricted working rights can be considered for this position.

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.

skills
Data scientist, SQL, Python, ML, Machine Learning, GCP, Azure, BigQuery, Snowflake, GIS, ArcGIS, Data science, Advanced Analytics
qualifications
- Bachelor Degree
education
Bachelor Degree

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summary

auckland, auckland
permanent

specialism
it & ict
sub specialism
developers & programmers
reference number
90M0710919_7517332145598286684

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maarten wurtz

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data scientist.

job details

Job summary

About the business

About the role

Key responsibilities

Skills & experience required

Job summary

About the business

About the role

Key responsibilities

Skills & experience required

skills

qualifications

education

share this job.

the application process.

apply with randstad.

we’ll give you a call.

getting you registered.

compliance check.

reference and background check.

the perfect job for you.

the interview.

start your new job.

get in touch

maarten wurtz

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data business analyst

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