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Added 6 hours ago
X
Software Developer - Frontend (Intermediate to Senior)
Xanadu
Toronto, ON
- Full-time
…adoption of PennyLane, an open-source framework for quantum machine learning, quantum computing, and quantum chemistry. No quantum software experience is…
Added 6 hours ago
X
Quantum Scientist - Compilation
Xanadu
Toronto, ON
- Full-time
Ability to conduct research in an interdisciplinary team environment, as well as independently when required.
Added 6 hours ago
X
Software Development Manager - Quantum Software
Xanadu
Toronto, ON
- Full-time
Xanadu is looking for an experienced Software Development Manager to lead the PennyLane Core Quantum Software team. The team is developing PennyLane, an open-source framework for quantum…
Added 6 hours ago
X
Software Developer - Backend (Intermediate to Senior)
Xanadu
Toronto, ON
- Full-time
…adoption of PennyLane, an open-source framework for quantum machine learning, quantum computing, and quantum chemistry. No quantum software experience is…
Added 6 hours ago
X
Technical Product Marketing Manager
Xanadu
Toronto, ON
- Full-time
Xanadu Quantum Technologies is seeking a Technical Product Marketing Manager to lead the messaging, positioning, and go-to-market strategy for PennyLane, our industry-leading open-source…
Added 6 hours ago
X
Sr. Technical Engagement Manager, Algorithms and Applications
Xanadu
Toronto, ON
- Full-time
As Xanadu's Technical Engagement Manager (TEM), Algorithms and Applications, you will lead the growth of our pipeline of commercial algorithms and applications research projects. You will…
Added 6 hours ago
X
Business Development Lead
Xanadu
Toronto, ON
- Full-time
Strong technical aptitude - ability to quickly grasp high-level concepts in quantum computing, machine learning, and photonic hardware to hold technical discussions with CTOs, VP-level…
Added 6 hours ago
X
Senior Data Scientist – Decision Intelligence
Xanadu
Toronto, ON
- Full-time
BSc. in Physics, Mathematics, Computer Science, Data Science, AI, Machine Learning or a related quantitative field.
Added 8 hours ago
AS
Sr. Applied Scientist - AWS Catalog, AWS Catalog
Amazon Science
Vancouver, BC
- Full-time
You influence your team's science and business strategy, collaborating with Applied Scientists, Engineers, and Product Managers across identity, storage, analytics, and machine learning…
Added 23 hours ago
IT Support Technician
CONA Services
Montreal, QC · Lachine, QC
We are recruiting for an IT Support Technician to join our Information Technology team. The IT Support Technician serves as an on-site technical resource dedicated to the Lachine Coca-Cola…
Added 1 day ago
R
Account-Based Marketing Manager - TrainAI
RWS
Canada
- Full-time
…responsible AI data that’s targeted, accurate and reliable to ensure machine learning (ML) success. But preparing AI training data is a monumental task that can take up the vast majority of…
Added 1 day ago
TF
EHS Specialist I
Thermo Fisher Scientific
Whitby, ON
- Full-time
Lead the creation, development and integration of EHS programs – safety examples: lockout tagout, machine guarding, process safety; environmental examples: NPRI, NSNR; Industrial hygiene…
Added 1 day ago
ES
Senior Product Manager | Applied AI
EPAM Systems
Canada
- Full-time
…AI-powered features - not the ability to build, train or tune machine-learning models as an ML engineer or data scientist…
Added 1 day ago
X
Business Development Lead
Xanadu
Toronto, ON
- Full-time
Strong technical aptitude - ability to quickly grasp high-level concepts in quantum computing, machine learning, and photonic hardware to hold technical discussions with CTOs, VP-level…
Added 2 days ago
B
Developer Lead (AI-Enabled Systems)
BMO
Toronto, ON · FCP
- Full-time
…genuine business value. Candidates are not expected to have a research background in machine learning. We are looking for engineers who have implemented LLM-based functionality, understand…
Added 2 days ago
A
Data Scientist
Amyantek
Toronto, ON · Greater Toronto Area, Canada
- Contract
…puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for…
Added 2 days ago
ET
Demand Generation Manager
ExcelSense Technologies Corp.
Vancouver, BC
- Full-time
Initially lead trade show operations and logistics with support from ExcelSense’s operations and logistics team. As the marketing team expands, these responsibilities will transition to…
Added 2 days ago
A
1836 Data Scientist III
Amyantek
Toronto, ON
- Contract
…puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for…
Added 2 days ago
B
Senior Manager, AI Strategy & Product Management
BMO
Toronto, ON · FCP
- Full-time
Lead product discovery and prioritization by integrating client research, analytics, market intelligence, business objectives, and technical considerations into actionable product…
Added 2 days ago
TV
Technical Business Development Director
TandemLaunch Ventures Studio & Funds
Montreal, QC
- Full-time
…innovations in consumer electronics, hardware-enabled technologies, machine learning, and embedded systems, working directly with researchers from major university labs. We are one of very…
Added 2 days ago
TV
Director of Product Strategy and Commercialization
TandemLaunch Ventures Studio & Funds
Montreal, QC
- Full-time
…innovations in consumer electronics, hardware-enabled technologies, machine learning, and embedded systems, working directly with researchers from major university labs. We are one of very…
Added 2 days ago
Lead Software Developer
Geotab
Toronto, ON · Oakville, ON · Waterloo, ON
…billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety…
Added 2 days ago
Directeur de la stratégie produit et de la commercialisation | Director of Product Strategy and Commercialization
TandemLaunch
Montreal, QC
Added 2 days ago
ES
Experience Designer II - A-Team
EA SPORTS
Vancouver, BC
- Full-time
We are a cross-functional, applied R&D team, strategically positioned in EA to drive and disrupt the future of character animation technology. We are a self-motivated, collaborative team,…
Added 2 days ago
IC
Triton Compiler Engineering Manager
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
…developers to create highly optimized GPU kernels that power modern machine learning frameworks and…

Amyantek

Data Scientist

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Please send your resume at anila.dada@amyantek.com if you are interested in this 12 month contract with Sunlife with a possibility of extension, If you are not interested, please feel free to pass it in your network for anyone looking for work.

Position title: 1837 Data Scientist I

Working Status: Hybrid (3 days on-site with Thursday being the team collaboration day)

Location: 1 York Street, Toronto

Background Check: Reliability Clearance and Tier 2 checks

Manager Notes

Open to recent graduates and candidates with 0-3 years of relevant experience.
Junior role is primarily execution-focused role supporting senior team members, with a narrower project scope (typically one project at a time) and limited to no direct stakeholder interaction.

Role Summary

Reporting to the Director, Data Science, as a Data Scientist a successful candidate will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

Key attributes:

Fierce curiosity. A successful candidate is drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. The 3 core technical skills would be: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data and unstructured data. Thirst for learning. A successful candidate is a data scientist who is constantly updating their knowledge of data science state-of-the-art.

Key Responsibilities:

Data Science and Machine Learning

Translate business goals into analytical problems; Identify optimal algorithms, statistical techniques and/or GenAI architecture suitable for the business problem at hand
Work in cross-functional teams to develop ML/data science products, including GenAI applications
Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs

GenAI & Agentic AI Development

Design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems that solve complex business problems
Research and pilot the latest GenAI technologies, RAG (Retrieval-Augmented Generation) techniques, and agentic frameworks (LangChain, LangGraph, CrewAI etc.)
Implement AI bots/agents with advanced reasoning capabilities and tool use patterns
Work with vector databases and embedding models to build intelligent information retrieval systems

Technical Leadership & Collaboration

Break down broader data science development milestones into actionable goals, activities, and work plans
Create and maintain technical design artifacts describing application functionality, data models, interfaces, and integrations
Engage and negotiate with stakeholders, make business recommendations with effective presentations of findings at multiple levels of stakeholders
Champion continuous improvement and foster innovation within the analytics communi

Required Qualifications:

Bachelor’s degree in computer science, Statistics, Mathematics, or related field, or equivalent experience
0 to 3 years’ experience in developing and implementing data science techniques
Proficient in Python for data science and GenAI application development
Experience with writing complex SQL and PySpark queries to extract and integrate data from multiple database sources
Proficiency in machine learning including supervised and unsupervised models
Demonstrated experience in data transformation, data manipulation, and working with structured vs. unstructured data
Strong understanding of APIs, microservices architecture, and cloud-native development
Hands-on expertise with GenAI frameworks and LLM APIs with experience developing AI bots/agents with reasoning and tool-use capabilities
Strong understanding of RAG techniques, prompt engineering, and fine-tuning methodologies and familiarity with vector databases and embedding models
Experience with chatbot development concepts and conversational AI design
Exceptional communication skills to articulate complex technical concepts to both technical and non-technical stakeholders
Effective and concise oral and written storytelling and insights communication skills
Strong problem-solving abilities and analytical skills with keen attention to detail

Nice to Have:

Experience with AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services
Experience with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions.

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More about this job

Responsibilities

Develop and implement data science and machine learning solutions, including generative AI applications, agents, chatbots, and retrieval systems, to address business problems. Collaborate with cross-functional teams and stakeholders to plan technical work, document designs, communicate findings, and recommend business actions.

Requirements

A bachelor's degree in computer science, statistics, mathematics, or a related field, or equivalent experience, is required, along with 0–3 years of relevant experience. Candidates should have Python, SQL, PySpark, machine learning, GenAI and LLM application development, RAG, data manipulation, API and cloud-native development, and strong communication and problem-solving skills.

Skills

Python
SQL
PySpark
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
Feature Engineering
Model Evaluation
Agentic AI
Vector Databases
Embedding Models
API Development
Microservices
Cloud-Native Development

Visa sponsorship

Not detected in the job text

Hiring contact email

anila.dada@amyantek.com

Keywords

Python
SQL
PySpark
Machine Learning
Supervised Learning
Unsupervised Learning
Generative AI
Large Language Models
AI Agents
Chatbots
Agentic AI
LangChain
LangGraph
CrewAI
Retrieval-Augmented Generation
Prompt Engineering
Fine-Tuning
Vector Databases
Embedding Models
Feature Engineering
Model Training
Model Evaluation
Structured Data
Unstructured Data
APIs
Microservices
Cloud-Native Development
AWS SageMaker
AWS Bedrock
AWS Glue

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