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Akkodis

Senior Data Scientist - AI/ML

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 8, 2026
Experience: 5+ years of experience designing and implementing data science and machine learning solutions.
Posting language: English
Posted: Oct 9, 2026

Original job description

Position: Senior Data Scientist - AI/ML

Duration: 12 months

Location: 1 York, Toronto, ON

Work Model: Hybrid (3 days onsite per week, Thursday designated as team collaboration day)

About Our Client:

A leading Canadian organization focused on leveraging advanced analytics, machine learning, and Generative AI to drive business growth, innovation, and operational excellence across multiple business units.

About this opportunity:

We are seeking an experienced Senior Data Scientist - AI/ML to join a high-performing Data Science team. Reporting to the Director, Data Science, this role will support Canadian business units by accelerating the adoption and application of advanced analytics, machine learning, and Generative AI solutions.

The successful candidate will leverage expertise in data science, machine learning, and GenAI technologies to design, develop, and deploy innovative solutions that create measurable business value. This position offers the opportunity to work on cutting-edge AI initiatives, including AI agents, chatbots, large language models (LLMs), and Retrieval-Augmented Generation (RAG) solutions.

What You’ll Do:

Data Science & Machine Learning

Translate business objectives into analytical and machine learning solutions.
Identify and implement appropriate statistical methods, machine learning algorithms, and GenAI architectures.
Develop and deploy machine learning and data science products in collaboration with cross-functional teams.
Apply descriptive, predictive, and machine learning techniques from concept through production implementation.
Perform feature engineering, model training, validation, testing, and performance optimization.
Develop prompt engineering strategies for large language models and AI applications.

GenAI & Agentic AI Development

Design, build, and deploy GenAI applications including AI assistants, chatbots, and autonomous agents.
Research, evaluate, and pilot emerging GenAI technologies and frameworks.
Implement Retrieval-Augmented Generation (RAG) solutions for enterprise use cases.
Develop AI agents using modern frameworks such as LangChain, LangGraph, CrewAI, or similar technologies.
Build intelligent information retrieval systems utilizing vector databases and embedding models.
Enhance AI systems with reasoning capabilities, tool usage, and workflow automation.

Technical Leadership & Collaboration

Break down complex initiatives into actionable work plans and development milestones.
Create and maintain technical documentation, solution designs, data models, and integration specifications.
Collaborate with stakeholders to understand business needs and communicate technical recommendations.
Present analytical findings and business insights to technical and non-technical audiences.
Mentor and support junior data scientists and data engineers.
Promote innovation, continuous improvement, and best practices across the analytics community.

What You Bring:

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience.
5+ years of experience designing and implementing data science and machine learning solutions.
Advanced proficiency in Python for data science, machine learning, and Generative AI development.
Strong experience writing complex SQL and PySpark queries.
Proven experience working with both structured and unstructured datasets.
Strong knowledge of supervised and unsupervised machine learning techniques.
Experience with APIs, microservices architecture, and cloud-native applications.
Hands-on experience with LLMs, GenAI frameworks, and AI application development.
Strong understanding of prompt engineering, RAG architectures, fine-tuning methodologies, vector databases, and embedding models.
Experience developing conversational AI and chatbot solutions.
Excellent communication, presentation, and stakeholder engagement skills.
Demonstrated ability to manage multiple priorities and projects simultaneously.
Strong analytical, problem-solving, and decision-making capabilities.
Experience mentoring technical team members and contributing to knowledge sharing initiatives.

Nice to Have

Experience with AWS cloud services, including SageMaker, Lambda, Bedrock, and related AI/ML services.
Experience with data warehousing, ETL pipelines, and big data platforms.
Hands-on experience with AWS Glue, Glue Catalog, Glue Data Quality, and AWS Step Functions.
Experience deploying machine learning models in production environments.
Familiarity with MLOps practices and model monitoring frameworks.

How to Apply:

Interested candidates are encouraged to submit their resumes via the Akkodis Canada website

Akkodis Canada will never share your resume or any personal details without your explicit consent.

We thank all applicants for their interest in this opportunity. Only candidates meeting the above qualifications will be contacted for further discussions

Our Commitment:

At Akkodis, part of The Adecco Group, we’re committed to making the future work for everyone. We live our values, Passion, Collaboration, Inclusion, Courage, and Customers at Heart, by fostering a workplace where diversity is celebrated and every voice matters. We encourage applications from individuals of all backgrounds and identities. Together, we’re making the future work for everyone.

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More about this job

Responsibilities

Translate business objectives into data science, machine learning, and Generative AI solutions, and develop, deploy, and optimize those solutions for production use. Lead technical planning and documentation, collaborate with stakeholders, communicate findings, and mentor junior data science and engineering team members.

Requirements

Requires a bachelor's degree in a relevant field or equivalent practical experience, plus at least five years designing and implementing data science and machine learning solutions. Candidates should have advanced Python skills, strong SQL and PySpark experience, and hands-on expertise with LLMs, GenAI applications, RAG, prompt engineering, and conversational AI.

Skills

Python
SQL
PySpark
Machine Learning
Generative AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
AI Agents
LangChain
LangGraph
CrewAI
Vector Databases
Embedding Models
AWS
MLOps

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Generative AI
Python
SQL
PySpark
Supervised Learning
Unsupervised Learning
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
AI Agents
Chatbots
LangChain
LangGraph
CrewAI
Vector Databases
Embedding Models
Fine-Tuning
APIs
Microservices
Cloud-Native Applications
AWS SageMaker
AWS Lambda
AWS Bedrock
AWS Glue
ETL Pipelines
Data Warehousing
MLOps
Model Monitoring

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