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Data Science New Grad Jobs in Quebec (NOW HIRING)

... new products based on AI, and collaborate with an established team of Data Scientists. By virtue of its unique market positioning, our team targets a wide variety of AI-related research fields ...

Experience with modeling, actor-based simulation, machine learning, data science, statistics and ... Ability to quickly learn and adapt to new technologies and frameworks. Education * Bachelors degree ...

Experience with modeling, actor-based simulation, machine learning, data science, statistics and ... Ability to quickly learn and adapt to new technologies and frameworks. Education * Bachelor ...

... new users and use cases. * Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks ...

As a senior member of the team, you'll collaborate closely with data scientists, software engineers ... Evaluate and adopt new tools, technologies, and processes. * Partner with DevOps and engineering ...

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Data Science New Grad information

What are the key skills and qualifications needed to thrive as a Data Science New Grad, and why are they important?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.

What types of projects can a Data Science New Grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are Data Science New Grad roles?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.
What are popular job titles related to Data Science New Grad jobs in Quebec? For Data Science New Grad jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Science New Grad jobs in Quebec look for? The top searched job categories for Data Science New Grad jobs in Quebec are:
What cities in Quebec are hiring for Data Science New Grad jobs? Cities in Quebec with the most Data Science New Grad job openings:
Senior Applied AI Scientist

Senior Applied AI Scientist

Bentley Systems

Quebec, QC • On-site

Other

Posted 25 days ago


Job description

Senior Applied AI Scientist

(Please submit resume in English)

 

Location: Hybrid, Quebec, Canada

As a Senior Applied AI Scientist, you'll have the opportunity to develop innovative solutions in artificial intelligence (AI) for smart infrastructure, participate in the development of new products based on AI, and collaborate with an established team of Data Scientists. By virtue of its unique market positioning, our team targets a wide variety of AI-related research fields, including computer vision, graphical models, natural language processing, advanced signal processing, unsupervised learning and clustering, reinforcement learning, etc.

Responsibilities:

  • Develop AI/ML algorithms and models using accepted best practices
  • Analyze user challenges, workflows, and use cases
  • Keep yourself up to date with the relevant research and scientific literature
  • Provide a technological watch over various areas of AI/ML
  • Assist in data acquisition from various sources
  • Analyze data integrity and quality
  • Develop data cleaning strategies and prepare training datasets
  • Measure model performance and resilience
  • Prepare reports and presentations on results
  • Present results to peers, internal stakeholders, and users

Qualifications:

  • BSc, MSc, or PhD in machine learning or a related specialty
  • at least 6 years of experience doing research and development in machine learning - including deep learning and advanced techniques
  • Experience with Large Language Models, RAG, and Copilot systems
  • Experience in practical machine learning applications and development
  • Ability to develop innovative solutions in artificial intelligence to resolve concrete and complex challenges
  • Programming and use of tools related to our area of practice, such as Python, PyTorch, Scikit-learn, LangChain, Llamaindex, DSPy, GraphRAG
  • Strong problem-solving capabilities using various technologies
  • Capability to research a new topic and to learn quickly
  • Experience with major cloud providers (Microsoft Azure, Amazon AWS, ElasticSearch, etc.) and/or MLOps experience desired
  • Fluent in English

What We Offer:

  • A great Team and culture - please see our colleague video. 
  • An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction - watch this short documentary about how we got our start. 
  • An attractive salary and benefits package. 
  • A commitment to inclusion, belonging, and colleague wellbeing through global initiatives and resource groups. 
  • A company committed to making a real difference by advancing the world's infrastructure for a better quality of life, where your contributions help build a more sustainable, connected, and resilient world. Discover our latest user success stories for an insight into our global impact. 

Scientifique senior en intelligence artificielle appliquee

Lieu : Hybride, Quebec, Canada

En tant que scientifique senior en intelligence artificielle appliquee, vous aurez l'occasion de developper des solutions novatrices en intelligence artificielle (IA) pour les infrastructures intelligentes, de participer au developpement de nouveaux produits bases sur l'IA et de collaborer avec une equipe etablie de scientifiques des donnees. En raison de son positionnement unique sur le marche, notre equipe cible une grande variete de domaines de recherche lies a l'IA, notamment la vision par ordinateur, les modeles graphiques, le traitement du langage naturel, le traitement avance du signal, l'apprentissage non supervise et le regroupement, l'apprentissage par renforcement, etc.

Responsabilites :

  • Developper des algorithmes et des modeles d'IA/apprentissage automatique en utilisant les meilleures pratiques reconnues
  • Analyser les defis, les flux de travail et les cas d'utilisation des utilisateurs
  • Se tenir au courant de la recherche et de la litterature scientifique pertinentes
  • Assurer une veille technologique sur divers domaines de l'IA/apprentissage automatique
  • Aider a l'acquisition de donnees provenant de diverses sources
  • Analyser l'integrite et la qualite des donnees
  • Elaborer des strategies de nettoyage des donnees et preparer des ensembles de donnees de formation
  • Mesurer les performances et la resilience des modeles
  • Preparer des rapports et des presentations sur les resultats
  • Presenter les resultats aux pairs, aux parties prenantes internes et aux utilisateurs

Qualifications :

  • Baccalaureat, maitrise ou doctorat en apprentissage automatique ou dans une specialite connexe
  • Au moins 6 ans d'experience en recherche et developpement en apprentissage automatique, y compris l'apprentissage profond et les techniques avancees
  • Experience avec les grands modeles de langage (LLM), les systemes RAG et Copilot
  • Experience des applications et du developpement pratiques de l'apprentissage automatique
  • Capacite a developper des solutions innovantes en intelligence artificielle pour resoudre des defis concrets et complexes
  • Programmation et utilisation d'outils lies a notre domaine de pratique, tels que Python, PyTorch, Scikit-learn, LangChain, Llamaindex, DSPy, GraphRAG
  • Solides capacites de resolution de problemes a l'aide de diverses technologies
  • Capacite a faire des recherches sur un nouveau sujet et a apprendre rapidement
  • Experience avec les principaux fournisseurs de services en nuage (Microsoft Azure, Amazon AWS, ElasticSearch, etc.) et/ou experience en MLOps souhaitee
  • Maitrise de l'anglais

Ce que nous offrons :

  • Une equipe et une culture formidables - veuillez visionner notre [video sur nos collegues].
  • Une carriere passionnante au sein d'une entreprise de logiciels de premier plan mondial fournissant des solutions pour l'architecture, l'ingenierie et la construction - regardez ce [court documentaire] sur nos debuts.
  • Un salaire concurrentiel et une gamme complete d'avantages sociaux.
  • Un engagement envers l'inclusion, l'appartenance et le bien-etre des collegues par le biais d'initiatives mondiales et de groupes de ressources.
  • Une entreprise qui s'engage a faire une reelle difference en faisant progresser les infrastructures mondiales pour une meilleure qualite de vie, ou vos contributions aident a batir un monde plus durable, connecte et resilient. Decouvrez nos plus recents [temoignages de reussite de nos utilisateurs] pour avoir un apercu de notre impact mondial.

About Bentley Systems


Around the world, infrastructure professionals rely on software from Bentley Systems to help them design, build, and operate better and more resilient infrastructure for transportation, water, energy, cities, and more. Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms and owner-operators worldwide, with software that spans engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle. Through our digital twin solutions, we help infrastructure professionals unlock the value of their data to transform project delivery and asset performance. www.bentley.com 

Equal Opportunity Employer:

Bentley is proud to be an equal opportunity employer and considers for employment all qualified applicants without regard to race, color, gender/gender identity, sexual orientation, disability, marital status, religion/belief, national origin, caste, age, or any other characteristic protected by local law or unrelated to job qualifications.