Intermediate Environmental Modeller

Toronto, ON
Permanent
Full-time

1 month ago

Company DescriptionAre you ambitious and looking to make the right move in your career? Now is the perfect time to join Egis. Egis is experiencing substantial growth in North America, highlighted by our recent acquisition of Ecometrix-now made up of over 1,000 engineers, architects and planners across Canada and the USA. This strategic move underscores our commitment to investing in North America, propelling our expansion to new heights.Our values showcase everything we believe in:A Responsible Company - We care about people, and we care about our impact; acting responsibly wherever we work and whatever we do.A People-First Company - This is an environment of mutual respect where every team member matters, no matter who they are.A Creative Company - Creativity is in our DNA. This is the fuel that helps us tackle the major challenges of our time.The more important question you likely have is: Are we the right company for you?Joining Egis is an opportunity to make a valuable, positive impact on the world, while growing and developing as a person. Our culture is very collaborative, and we care about people and our impact. We take great pride in being responsible for our clients, for each other and for our planet and its people. You'll work and innovate in an environment where high standards and personal consideration go hand-in-hand.Learn more about the exciting opportunity below where you'll be part of projects renowned for technical excellence, ambition and sustainability.Job DescriptionAbout The RoleWe are seeking a talented and motivated Intermediate Environmental Modeler to join our team. The ideal candidate will have a Master's degree and a minimum of 3 years work experience or a Bachelor's Degree and 5+ years experience looking at fate and transport of chemicals and radionuclides in the environment. The successful candidate will support and be involved in model verification and validation activities. It is expected that the successful candidate will work well in a team environment, supporting our in-house programmer, project managers, team members, and other modelling specialists. The position will also require data analysis, statistical analysis, data summary and report preparation.Key Responsibilities:

Develop an in-depth understanding of in-house models in the area of hydrology, fate and transport modelling, and human and ecological risk assessment
Set-up, calibrate and validate models for various projects for mining, nuclear and other industry clients
Participate in model quality assurance and verification activities
Synthesize data and interpret model results;
Participate in report preparation; and
Work with other innovative thinkers to continue to develop models in-house.

Qualifications

Mater's Degree (M.Sc., M.A.Sc. or M. Eng.) with 3 years of work experience or graduated with a Bachelor's degree in engineering or science with 5 years of work experience;
Strong foundation in mathematics;
Effective communication skills (verbal and written);
Excellent organizational skills including attention to detail;
Ability to prioritize and multi-task in order to meet deadlines; and
Willingness to learn and take on challenging tasks.

Additional InformationEgis Canada is an equal opportunities employer offering a competitive salary and benefits to those with the skills suited to the needs of our clients.We welcome and encourage applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process.This role is eligible for a referral bonus in line with the Referral Program. If you have been referred, please provide the name of the employee who has referred you at the time of your application.At Egis, we embrace innovation to tackle challenges and utilize AI in our recruitment process under stringent ethics and compliance policies and in alignment with our values of being a Responsible Company, a People First Company and a Creative Company. Committed to diversity, growth and collaboration, we may leverage AI to support the recruitment process.

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