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Added 26 mins ago
HT
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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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