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Adoc Talent Management

Senior Data Scientist

Remote, Canada

Remote

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Education: Master’s degree
Posting language: English · French
Posted: Nov 4, 2026

Original job description

English section of this bilingual listing.

We are recruiting a Senior Data Scientist for a leading international economic consulting firm. With a global presence and an extensive network of experts from academia, government, and industry, the firm provides strategic consulting in the fields of economics, finance, strategy, and health data analysis to major corporations and prestigious institutions.

As a Senior Data Scientist, you will play a key role in designing, deploying, and maintaining innovative technological solutions to address major challenges across multiple sectors. You will serve as a driving force for innovation, constantly monitoring technological developments - particularly in generative artificial intelligence (AI) - to identify and integrate cutting-edge tools, applications, and data sources to optimize the firm’s service offerings.

Missions

Perform advanced mathematical and statistical modeling to translate complex research questions into actionable strategic insights for clients
Architect, validate, and launch full-stack machine learning, data engineering, and AI production systems
Apply natural language processing (NLP) and generative AI to extract value from complex, unstructured datasets like electronic health records and social media
Streamline the architecture and querying procedures for massive databases (e.g., financial data, insurance claims)
Build intuitive interactive analytics portals and robust data visualizations (utilizing Python/Flask, R/Shiny, or D3)
Develop software packages in Python and R, and optimize computationally intensive workflows (C, C++, CUDA) using cloud and grid computing
Serve as a technical mentor, participate directly in client engagements, and help scale the firm’s internal data science knowledge base.

Profile

PhD in a highly quantitative discipline (Computer Science, Statistics, Mathematics, Economics, or a related scientific field)
Demonstrated capability to independently tackle complex analytical problems and extract meaningful insights using advanced mathematical frameworks
Expert proficiency in Python and/or R is mandatory, supported by a strong portfolio of applied project experience
Deep technical understanding of generative AI mechanics (embeddings, RAG, prompt engineering, tool calling, structured generation) with hands-on experience prototyping or deploying AI agents
Keen awareness of the ethical considerations, risks, and responsible-use best practices regarding generative AI applications
Experience with cloud platforms (Azure, AWS) and working within High-Performance Computing (HPC) environments
Familiarity with Linux, Docker, and JavaScript front-end frameworks (Angular, Vue.js) is highly advantageous
Exceptional interpersonal and communication skills, with a proven track record of collaborative teamwork
Fluency in English is strictly required due to continuous interactions with international clients and stakeholders. Candidates must possess valid work authorization.

Read the full bilingual original

ENGLISH VERSION FOLLOWS

---

Nous recrutons, pour une grande firme internationale de conseil en économie, un(e) Scientifique de données senior(e). Fort d'une présence mondiale et d'un vaste réseau d'experts issus du monde universitaire, gouvernemental et de l'industrie, le cabinet intervient stratégiquement dans les domaines de l'économie, de la finance, de la stratégie et de l'analyse des données de santé auprès de grandes entreprises et d'institutions prestigieuses.

En tant que Scientifique des Données Senior (Senior Data Scientist), vous jouerez un rôle clé dans la conception, le déploiement et la maintenance de solutions technologiques innovantes pour répondre à des problématiques majeures dans de multiples secteurs. Vous agirez comme un moteur d'innovation, assurant une veille technologique constante, notamment sur l'intelligence artificielle (IA) générative, afin d'identifier et d'intégrer des outils, des applications et des sources de données de pointe pour optimiser l'offre de services du cabinet.

Missions

Mener des analyses statistiques et mathématiques poussées pour résoudre des problématiques de recherche complexes et en extraire des recommandations stratégiques
Concevoir, valider et déployer des architectures de bout en bout (full stack) en ingénierie des données, apprentissage automatique et IA
Exploiter l'IA générative et le traitement du langage naturel (NLP) pour valoriser des données non structurées (dossiers médicaux, réseaux sociaux, etc.)
Optimiser l'infrastructure, la gestion et l'accès aux bases de données massives (transactions financières, réclamations)
Développer des interfaces analytiques interactives et des outils de visualisation (R/Shiny, Python/Flask, D3)
Programmer des solutions logicielles en R, Python, et optimiser les tâches à forte intensité de calcul (C, C++, CUDA) via des environnements cloud ou de calcul haute performance (HPC)
Accompagner les équipes de projet, offrir des formations techniques et enrichir l'expertise interne en science des données.

Profil

Doctorat (PhD) dans un domaine quantitatif (informatique, mathématiques, statistiques, économie, ou discipline scientifique pertinente)
Solide expérience dans la manipulation de données structurées et non structurées, couplée à une excellente capacité à mener des recherches complexes de manière autonome
Maîtrise avancée de Python ou R exigée, validée par des projets concrets
Expertise pointue des concepts d'IA générative (RAG, plongements vectoriels, appel d'outils, gestion de contexte) et expérience pratique dans la conception ou le déploiement d'agents IA
Compréhension approfondie des risques, des limites et de l'éthique liés au déploiement de solutions d'IA générative
Familiarité avec les infrastructures cloud (AWS, Azure) et les environnements HPC
Des compétences sous environnement Linux, avec Docker, ainsi qu'en développement front-end (Vue.js, Angular) constituent un réel atout
Maîtrise de l'anglais indispensable en raison des interactions quotidiennes avec des équipes et clients internationaux. Un permis de travail valide est requis.

________________________________________________________________

Missions

Perform advanced mathematical and statistical modeling to translate complex research questions into actionable strategic insights for clients
Architect, validate, and launch full-stack machine learning, data engineering, and AI production systems
Apply natural language processing (NLP) and generative AI to extract value from complex, unstructured datasets like electronic health records and social media
Streamline the architecture and querying procedures for massive databases (e.g., financial data, insurance claims)
Build intuitive interactive analytics portals and robust data visualizations (utilizing Python/Flask, R/Shiny, or D3)
Develop software packages in Python and R, and optimize computationally intensive workflows (C, C++, CUDA) using cloud and grid computing
Serve as a technical mentor, participate directly in client engagements, and help scale the firm’s internal data science knowledge base.

Profile

PhD in a highly quantitative discipline (Computer Science, Statistics, Mathematics, Economics, or a related scientific field)
Demonstrated capability to independently tackle complex analytical problems and extract meaningful insights using advanced mathematical frameworks
Expert proficiency in Python and/or R is mandatory, supported by a strong portfolio of applied project experience
Deep technical understanding of generative AI mechanics (embeddings, RAG, prompt engineering, tool calling, structured generation) with hands-on experience prototyping or deploying AI agents
Keen awareness of the ethical considerations, risks, and responsible-use best practices regarding generative AI applications
Experience with cloud platforms (Azure, AWS) and working within High-Performance Computing (HPC) environments
Familiarity with Linux, Docker, and JavaScript front-end frameworks (Angular, Vue.js) is highly advantageous
Exceptional interpersonal and communication skills, with a proven track record of collaborative teamwork
Fluency in English is strictly required due to continuous interactions with international clients and stakeholders. Candidates must possess valid work authorization.

Apply About employer

More about this job

Responsibilities

The Senior Data Scientist will design and deploy innovative technological solutions, including generative AI and machine learning models, to address complex research challenges. They will also mentor team members and optimize computationally intensive workflows within cloud and high-performance computing environments.

Requirements

Candidates must hold a PhD in a quantitative discipline and possess expert proficiency in Python or R. A strong background in generative AI, data engineering, and the ability to work independently on complex analytical problems are essential.

Skills

Python
R
Generative AI
Machine Learning
Natural Language Processing
Data Engineering
Statistical Modeling
Cloud Computing
AWS
Azure
High-Performance Computing
Docker
Linux
Data Visualization
C++
CUDA

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Generative AI
Machine Learning
Python
R
NLP
Data Engineering
Cloud Computing
AWS
Azure
HPC
Docker
Linux
C++
CUDA
RAG
Vector Embeddings
Statistical Modeling
Data Visualization
Economic Consulting
Finance
Health Data Analysis
Full-stack
Prompt Engineering
AI Agents
Quantitative Research
Strategic Consulting
Algorithms
Software Development
Data Analytics

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