Data Scientist
- Toronto, ON, Canada
- Greater Toronto Area, Canada, Canada
Contract
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Job details
- Job type
- Contract
- Apply by
- Experience
- · 5+ years' experience in developing and implementing data science techniques
- Posting language
- English
- Posted
Original job description
Contract
Job title: Data Scientist
Duration: 12 months
Role status: Current opening
Reporting to the Director, Data Science, as a Senior 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.
Principal tasks and responsibilities include:
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
Our client:
· Bachelor's degree in computer science, Statistics, Mathematics, or related field, or equivalent experience
· 5+ 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
· Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
· Proven ability to mentor and guide junior data scientists and data engineers
· 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.
Job title: Data Scientist
Duration: 12 months
Role status: Current opening
Reporting to the Director, Data Science, as a Senior 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.
Principal tasks and responsibilities include:
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
Our client:
- An established financial services organization within the insurance sector.
· Bachelor's degree in computer science, Statistics, Mathematics, or related field, or equivalent experience
· 5+ 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
· Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
· Proven ability to mentor and guide junior data scientists and data engineers
· 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.
More about this job
Responsibilities
Translate business goals into analytical problems and design, develop, and implement data science and machine learning solutions, including generative AI applications. Build and pilot AI agents, chatbots, and retrieval systems using LLMs, RAG techniques, vector databases, and agentic frameworks while collaborating with cross-functional teams.
Requirements
Requires a bachelor's degree in computer science, statistics, mathematics, or a related field, or equivalent experience, and at least five years of experience developing and implementing data science techniques. Candidates should have strong Python, SQL, PySpark, machine learning, and GenAI expertise, along with communication, problem-solving, and mentoring skills.
Skills
- Python
- SQL
- PySpark
- Machine Learning
- Generative AI
- Large Language Models
- Prompt Engineering
- Retrieval-Augmented Generation
- AI Agent Development
- Feature Engineering
- Model Training and Evaluation
- Vector Databases
- Embedding Models
- Data Transformation
- API and Microservices Architecture
- Cloud-Native Development
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Science & Research
Keywords
- Data Science
- Machine Learning
- Generative AI
- Python
- SQL
- PySpark
- Large Language Models
- Prompt Engineering
- Retrieval-Augmented Generation
- LangChain
- LangGraph
- CrewAI
- AI Agents
- Chatbots
- Conversational AI
- Vector Databases
- Embedding Models
- Feature Engineering
- Supervised Learning
- Unsupervised Learning
- Data Transformation
- Structured and Unstructured Data
- APIs
- Microservices
- Cloud-Native Development
- AWS SageMaker
- AWS Lambda
- AWS Bedrock
- AWS Glue
- AWS Step Functions