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Bevertec

Junior Data Scientist

Toronto, ON, Canada

Contract

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Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 8, 2026
Experience: 0–3 years of relevant experience, including internships, academic projects, or professional experience.
Posting language: English
Posted: Oct 9, 2026

Original job description

Job Title: Junior Data Scientist

Employment Type: Contract

Duration: 12 months

Location: Toronto

Ideal Rate: $50- $55 (Based on Experience)

Work Arrangement: Hybrid – 3 days onsite per week, including Thursday

Required Qualifications

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field, or equivalent experience.
0–3 years of relevant experience, including internships, academic projects, or professional experience.
Strong Python programming skills for data analysis and machine learning.
Understanding of supervised and unsupervised machine learning concepts.
Knowledge of SQL and data extraction and manipulation.
Familiarity with data science libraries, statistical methods, and model evaluation techniques.
Understanding of structured and unstructured data.
Strong analytical, problem-solving, communication, and learning abilities.

Nice to Have

Academic, internship, or personal projects involving machine learning or data science.
Exposure to Generative AI, LLMs, prompt engineering, RAG, or chatbot development.
Familiarity with frameworks such as LangChain, LangGraph, or CrewAI.
Exposure to PySpark, APIs, or cloud technologies.
Familiarity with AWS AI/ML services such as SageMaker or Bedrock.

Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.

Apply About employer

More about this job

Responsibilities

The posting does not specify particular day-to-day responsibilities. The role is a junior data science position focused on applying Python, machine learning, statistical methods, and data manipulation techniques.

Requirements

Candidates need a bachelor's degree in computer science, statistics, mathematics, data science, or a related field, or equivalent experience, and 0–3 years of relevant experience. Required skills include Python, machine learning concepts, SQL, data science libraries, statistical methods, model evaluation, and working with structured and unstructured data.

Skills

Python
Machine Learning
Supervised Learning
Unsupervised Learning
SQL
Data Extraction
Data Manipulation
Data Science Libraries
Statistical Methods
Model Evaluation
Structured Data
Unstructured Data
Generative AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation

Visa sponsorship

Not detected in the job text

Keywords

Python
Machine Learning
Supervised Learning
Unsupervised Learning
SQL
Data Extraction
Data Manipulation
Data Science
Statistical Methods
Model Evaluation
Structured Data
Unstructured Data
Generative AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Chatbot Development
LangChain
LangGraph
CrewAI
PySpark
APIs
Cloud Technologies
AWS
SageMaker
Bedrock

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