Skip to main content

Spatial Data Scientist

Expired
This role has expired and is no longer accepting applications. Browse similar roles →
Veris
Melbourne VIC
hybrid
Full Time

Apply for this job

Posted 9 months ago
This role is expired

These roles are hiring now

View all similar roles →

Senior Data Scientist - Product

Xero
Melbourne, VIC
hybrid
  • End-to-end data science projects shaping product conversion & retention
  • Strong proficiency in SQL, Python, statistics & experimentation design
  • ML models, AI-powered analytics, Snowflake, dbt, Git
Posted 10d ago

Data Scientist - Quantium Telstra

Quantium
Melbourne, VIC | Sydney, NSW
hybrid
  • Build AI solutions and predictive models for Telstra's operational systems
  • Experience with Python, SQL, predictive modelling and GenAI/LLMs
  • Python, SQL, GBM, GenAI, RAG, agentic workflows, AWS/Azure
Posted 10d ago

Associate Data Scientist

Culture Amp
Melbourne, VIC
hybrid
  • Develop, test and deploy AI powered features with engineers and data scientists
  • Experience with classical data science, statistics, LLMs and ML models
  • Python, SQL, LLMs, statistical modelling, data visualization, agentic workflows
Posted 12d ago

Data Scientist Open Search

IBM
Australia
hybrid
  • Optimize search performance, analyze semantic search quality, query optimization
  • Senior professional level experience required
  • Vector search, OpenSearch, NLP, ML, shard tuning, query optimization
Posted 2d ago
About Us
Veris is a market leading national survey, spatial and planning business. With over 450 professionals working across Australia Veris combines innovative technologies with some of Australia’s best spatial experience to deliver an integrated approach to the full project life cycle, from initial planning and feasibility through to construction and beyond.

The Opportunity
We’re very excited to be expanding our Digital Solutions team at Veris. In this research and development role, you will join a team of spatial scientists working on the development of innovative geospatial solutions. Our main aim is to bring value to clients and expand our solutions into new areas, and we’re looking for candidates that enjoy solving complex problems and excel in a dynamic environment.
  
Spatial innovation at Veris will involve the application of various tools and disciplines within data mining, computer vision, web visualisation, machine learning and VR/AR to develop platforms and identify trends, patterns and insights from data. Our spatial data scientists extract meaning from location-based data to uncover insights and enable clients to use data in their business decision making. This role at Veris will involve:

As a Spatial Data Scientist you will be involved in solving our clients’ problems and developing novel spatial solutions. This will primarily involve feature extraction from 3D point clouds and imagery gathered from mobile mapping systems, UAVs and other capture systems. Your activities at Veris will involve: 
  • Developing innovative solutions to complex geospatial problems
  • Researching and advising on the options and recommending solutions for solving the problems
  • Identifying all the relevant data sources to solve the business needs 
  • Building spatial analytics, predictive models and/or machine learning algorithms to extract features from our captured spatial data, particularly point clouds and drone imagery 
  • Developing and/or extending web platforms to solve a range of client needs  
  • Processing, cleansing & verifying spatial datasets
About You
As a client facing business it is essential that you are actively involved with Veris’ clients. You will be an active team member, and as a senior member of the team will mentor and guide less experienced team members. You will also support senior leaders to engage with clients on a range of spatial problems. The role will involve creating reports, visualisations and industry presentations.
Experience you will need:
  • Tertiary qualifications in survey, engineering, geospatial or related discipline.
  • 5+ years of relevant work experience with coding, debugging, and testing, , or a PhD in a related discipline.
  • Demonstrated spatial machine learning and coding experience to extract features from point cloud and/or imagery data.
  • Ability to develop high quality project scope and requirements documentation.
  • Ability to communicate ideas and present information in a simple, effective, and inclusive way.
  • Ability to work autonomously and as an effective team member.
  • A commitment to maintaining high ethical standards and professionalism in all your dealings.
Our Culture
At Veris we value providing a diverse and inclusive workplace where every individual is treated with dignity and respect. We are an Equal Opportunity employer and all qualified applicants will receive consideration for employment regardless of their race, cultural background, ethnicity, national origin, ability/disability, gender identity, sexual orientation, spirituality or religion and encourage applicants from diverse backgrounds, communities and industries.
  
We respect and honour Aboriginal and Torres Strait Islander Elders past, present and future. We acknowledge the stories, traditions and living cultures of Aboriginal and Torres Strait Islander peoples on this land and commit to building a brighter future together.