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Seequent

Senior Data Scientist

Calgary, AB, Canada

Job type: Full-time
Apply by: Oct 31, 2026
Experience: 7+ years of research and development experience in machine learning, including deep learning and advanced techniques.
Posting language: English
Posted: Oct 1, 2026

Apply About employer

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Original job description

About Us

At Seequent, we help organisations to understand the underground, giving the confidence to make better decisions faster.

We build world-leading technology that is at the forefront of Earth sciences, transforming the way our customers work. Every day we help them develop critical mineral resources more sustainably, design and build better infrastructure, source renewable energy, and reduce their impact on the environment.

We operate in 145+ countries while proudly maintaining headquarters in New Zealand.

The Role 

Reporting to the Vice President, Seequent Labs, this role contributes generative AI, agentic AI, machine learning, and data science expertise to a multidisciplinary research and prototyping team. The role develops novel applications for subsurface modelling through experimentation and customer engagement.

In this role, you will have the opportunity to: 

Solve geoscience challenges using machine learning and AI technologies, including large language models.
Develop AI and machine learning algorithms and models using accepted best practices.
Assess model performance and resilience, and deliver quality, user-friendly prototypes aligned with customer needs.
Integrate algorithms into prototypes and products and demonstrate solutions to customers.
Acquire data from multiple sources, assess data integrity and quality, and prepare training datasets using effective cleaning strategies.
Analyse user challenges, workflows, and use cases to identify opportunities for innovative machine learning applications.
Stay current with relevant scientific literature and emerging developments across AI and machine learning.
Prepare and present reports and results to peers, internal stakeholders, and users, while sharing knowledge to grow AI capabilities at Seequent.

To be successful in this role, you should have: 

A BSc, MSc, or PhD in machine learning, data science, a quantitative science, mathematics, computer science, or a related specialty.
7+ years of research and development experience in machine learning, including deep learning and advanced techniques.
Experience using large language models, LangChain, and LangGraph.
Experience with complex orchestration of agentic solutions.
Experience working with cloud-based data solutions and programming tools such as Python and PyTorch.
Experience with AI models for imagery, GIS, or 3D data such as point clouds and meshes is preferred.
Commercial software development experience and experience with modern data plotting libraries such as D3 or Plotly are preferred.
Excellent interpersonal skills, persistence in problem solving, enthusiasm for continual learning, and the ability to research new topics and learn quickly.

Additional Information

Work Mode= Hybrid

Posting Close Date: 10/15/2026

Our Commitment to Equity, Diversity, and Inclusion

At Seequent, we champion the uniqueness of each individual. Our commitment to inclusiveness, equity, and accessibility is fundamental to who we are. If you require accommodation during our recruitment process, please let our Talent Acquisition team know. We are here to ensure a fair opportunity for all.

Research underscores that some individuals, especially women and underrepresented groups, may hesitate to apply for roles if they don't meet every requirement. Please don't count yourself out if you don’t tick every box. We are committed to hiring a diverse team and encourage individuals of all background and abilities to apply. Thank you for considering us as your potential employer; we're excited to see what you can bring to our team!

Benefits of being a Seequenteer and why you’ll love being on our team.

We aspire to be pioneers of positive change in the way organisations work with the underground. We work collaboratively, stay curious, make change happen and have a global impact. We bring our authentic selves to work and are enthusiastic about what we do. Plus, you can expect great benefits; these benefits are unique to each location Seequent resides in. Please ask your Talent Acquisition Specialist.

If this posting gets you excited about joining Seequent please apply now!

For more information about everything Seequent, please visit Seequent.com.

Equal Opportunity Employer

Seequent (Bentley) is an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, sex, sexual orientation, gender identity, disability, pregnancy, protected veteran status, religion, national origin, age, genetic information or any other protected characteristic. This commitment extends to all aspects of employment, including, but not limited to, hiring, placement, promotion, compensation, and training. Know Your Rights as an applicant under the law.

Seequent (Bentley) Policy on EEO, Affirmative Action and Pay Transparency Non-Discrimination

Seequent (Bentley) participates in e-Verify / Seequent (Bentley) participate in e-Verify / Right to Work Notice

Request An Accommodation

As an Equal Opportunity Employer, Seequent is committed to providing reasonable accommodations to applicants with disabilities. We encourage you to request a reasonable accommodation if you are not able to fully use or access our online application system. You can make an accommodation request by sending us an email at disabilityrequest@bentley.com.

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More about this job

Responsibilities

Develop and evaluate machine learning and AI solutions for geoscience and subsurface modelling, including prototypes that address customer needs. Prepare and assess data, integrate algorithms into prototypes and products, present findings, and share knowledge with internal teams and customers.

Requirements

A BSc, MSc, or PhD in machine learning, data science, a quantitative or related field, and at least seven years of machine learning research and development experience are required. Candidates should have experience with deep learning, LLMs, LangChain, LangGraph, agentic solution orchestration, cloud data solutions, Python, and PyTorch; experience with imagery, GIS, 3D data, commercial software development, or D3/Plotly is preferred.

Skills

Machine Learning
Deep Learning
Generative AI
Agentic AI
Large Language Models
LangChain
LangGraph
Python
PyTorch
Cloud-Based Data Solutions
Data Preparation
Model Evaluation
Geospatial Data
3D Data
Commercial Software Development
Data Visualization

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Deep Learning
Generative AI
Agentic AI
Large Language Models
LangChain
LangGraph
Python
PyTorch
Cloud-Based Data Solutions
Geoscience
Subsurface Modelling
Data Science
Data Integrity
Data Quality
Training Datasets
Model Performance
Model Resilience
Customer Engagement
GIS
Imagery
Point Clouds
Meshes
Commercial Software Development
D3
Plotly
Prototyping
Earth Sciences

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