Graduate Transition Initiative – Scientific Computing and Modeling Developer

Verafin; San Juan de Terranova; On-site; CAD 80,000 - 100,000; Full time

Job summary

A growing tech firm in Newfoundland and Labrador is seeking a Scientific Computing and Modeling Developer. This role focuses on developing numerical optimization algorithms for MESO, a platform that evaluates renewable energy systems. Candidates should have completed a post-secondary program in a related field and possess strong Python skills. This position offers a chance for mentorship and professional growth within a dynamic team. Applications should include a cover letter, résumé, and online portfolio links.

Benefits

Opportunity to work on cutting-edge modeling

Mentorship and professional development

Hands-on experience with proprietary software

Qualifications

• Completed a post-secondary program within the past two years.
• Competence in implementing numerical or optimization algorithms.
• Understanding of numerical methods and scientific computing.

Responsibilities

• Implement and test numerical optimization algorithms.
• Structure model input/output parameters in an architecture.
• Collaborate with a multidisciplinary team.

Skills

Competence in Python

Numerical optimization algorithms

Communication skills

Scientific computing concepts

Analytical problem-solving

Education

Post-secondary program in Scientific Computing or related field

Tools

Optimization libraries (e.g., Pyomo, SciPy)

Time-series analysis tools

Job description

Angler Solutions is seeking a Scientific Computing and Modeling Developer to contribute to the ongoing development of our proprietary software platform, Model for Energy Systems Optimization (MESO). MESO is used to evaluate renewable and hybrid energy systems under technical, economic, operational, and emissions constraints.

This role focuses on scientific software development, numerical optimization, and computational modelling. You will work within a multidisciplinary team advancing the analytical and algorithmic foundations of MESO for clients across renewable energy, energy diversification, ocean technology, and upstream resources.

Responsibilities

• Implement and test numerical optimization algorithms within the MESO platform
• Structure model input/output parameters and constraints in a maintainable architecture
• Build and validate computational model prototypes
• Run parameter sweeps, scenario analyses, and sensitivity studies
• Process time-series datasets for renewable resources and system performance
• Contribute to software development workflows, documentation, and code management
• Collaborate with a multidisciplinary team of engineers, developers, and specialists
• Document model logic, assumptions, and development progress

Qualifications

• Completed a post‑secondary program within the past two years in one of Scientific Computing, Computer Science, Optimization Modelling, or a related field
• Competence in Python and implementing numerical or optimization algorithms
• Understanding of scientific computing concepts or numerical methods
• Ability to analyze and structure complex technical problems
• Strong communication skills and comfort working in a software‑focused environment

Technical Assets

• Experience with linear, nonlinear, or mixed‑integer optimization
• Familiarity with optimization libraries such as Pyomo or SciPy
• Experience with time‑series analysis
• Exposure to renewable energy systems, energy storage, or hybrid energy modelling
• Experience contributing to software validation or verification workflows

Funding Support Requirements

• Able to work full‑time in Newfoundland and Labrador starting January 2026.
• Legally entitled to work full‑time in Newfoundland and Labrador.
• Completion (within the past two years) of a minimum one‑year post‑secondary or skills training program at a recognized NL institution (e.g., MUN, CNA, Keyin, etc.)
• Candidate must not be currently enrolled as a full‑time student.

This position is funded through the Graduate Transition Initiative, delivered by techNL and the Department of Jobs, Growth and Rural Development. The initiative provides support to eligible companies that hire recent graduates into software development and tech sales roles, providing meaningful early‑career experience while supporting long‑term growth in NL’s tech sector.

What We Offer

• Opportunity to work on cutting‑edge modeling in the renewable energy sector
• Mentorship and professional development within a growing innovation‑focused firm
• Hands‑on experience contributing to a proprietary software platform

Please submit a cover letter, resume, and links to GitHub/online portfolio as a combined pdf via email to [e-mail].