Data Scientist - Machine Learning & Python

Rose International -
Mississauga, ON

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Job details

Temporary
$60–$65 an hour
4 days ago

Qualifications

TensorFlow
Computer Science
Spark
Mathematics
Apache Hive
Master's degree
SQL
Analysis skills
Bachelor's
Machine learning
AI
Model evaluation
Communication skills
Python
Data Science
Hadoop

Full job description

Date Posted: 07/10/2026

Hiring Organization: Rose International

Position Number: 504019

Industry: Financial Services

Job Title: Data Scientist - Machine Learning & Python

Job Location: Mississauga, ON, Canada, L5R 0B8

Work Model: Hybrid

Work Model Details: Hybrid -3 days onsite and 2 days remote

Shift: Standard Working Hours

Employment Type: Temporary

FT/PT: Full-Time

Estimated Duration (In months): 6

Min Hourly Rate($): 60.00

Max Hourly Rate($): 65.00

Must Have Skills/Attributes: Data Analysis, Machine Learning, PySpark, Python, SQL

Experience Desired: Experience in data science, machine learning, advanced analytics, or related fields (5+ yrs); Experience in developing, testing, and deploying machine learning models using Python, SQL, Spark (5+ yrs)

Required Minimum Education: Bachelor’s Degree

Preferred Education: Master’s Degree

**C2C is not available**

Job Description

Required Education

Bachelor's degree/University degree or equivalent experience in a STEM-related field.

Bachelor's degree or master's degree in computer science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.

Preferred Education

Advanced degree preferred.

Required Qualifications/Skills/Experience

5+ years of experience in data science, machine learning, advanced analytics, or a related field.

Experience developing and evaluating machine learning models.

Working knowledge of Machine Learning (ML) and Deep Learning (DL) techniques and model development processes.

Proficiency in Python, SQL, Spark, PySpark, TensorFlow, or similar analytical and model-building tools.

Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies.

Strong analytical, problem-solving, and communication skills.

Ability to work independently while collaborating effectively within cross-functional teams.

Preferred Qualifications/Skills/Experience

Experience supporting ML, AI, or GenAI initiatives in a production environment.

Familiarity with distributed data and computing platforms such as Hadoop, Hive, Spark, or cloud-based analytics platforms.

Exposure to banking, Retail Risk Management, or financial services.

Basic understanding of capital markets, financial instruments, and quantitative modeling concepts.

Overview

As a Data Science Analyst, you will support the development and delivery of advanced analytics and machine learning solutions that drive business insights and decision-making. You will analyze large structured and unstructured datasets, develop predictive and prescriptive models, and collaborate with business, technology, and risk partners to translate requirements into analytical solutions. This role involves contributing throughout the machine learning lifecycle, including model development, testing, deployment, monitoring, and performance evaluation. You will document methodologies and model results to support governance processes, present findings to stakeholders, and stay current with emerging technologies such as Machine Learning, Deep Learning, Large Language Models (LLMs), and Generative AI.

Job Duties

Analyze large structured and unstructured datasets to identify trends, patterns, and business insights.

Perform data cleansing, transformation, and feature engineering to support model development.

Develop, test, and maintain predictive and prescriptive models using statistical and machine learning techniques.

Support the deployment of analytical solutions into production environments in partnership with technology teams.

Contribute to the implementation of machine learning lifecycle processes, including development, testing, training, monitoring, and performance evaluation.

Collaborate with business, technology, and risk partners to understand requirements and translate them into analytical solutions.

Document methodologies, assumptions, and model results to support governance and review processes.

Present analytical findings and project updates to team members and stakeholders.

Continuously learn and apply emerging techniques in Machine Learning, Deep Learning, Large Language Models (LLMs), and Generative AI.

#CT1

**Only those lawfully authorized to work in the designated country associated with the position will be considered.**

**Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**

Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.

California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.

Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.

If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.

Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).

About Rose

Founded in 1993
Office Locations Across the U.S.
150+ Clients: Corporations and Government Agencies
Employee Oriented Company
Challenging Assignments Across the U.S.
Continuous Professional Development

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About Rose

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