Junior Data Scientist

# Junior Data Scientist Engineering,Information Technology,International Jobs September 28, 2026

Full Time Urgent Application  ends:
** November 28, 2026
** Apply Now###

Job Description
** Company**: mthree  
** Location**:
Canada   
** Job Type**:
Full-time  
** Work Mode**:
Remote  
** Experience**:
Junior / Entry-level  
** Education**:
Relevant degree or equivalent data science, technology or quantitative background  
** Expected Salary**: CA $85,000/year (approx. ₹53.5 lakh/year)  
** Job Category**:
Data Science, Information Technology,  Engineering, International  Jobs, Remote Jobs, Machine Learning, Artificial Intelligence, Financial Technology  
** Website**:

** Contact**:

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- ** What happens when machine learning meets financial markets?
** Hire Resume Writers This Junior Data Scientist opportunity puts you at the intersection of AI, predictive analytics and banking, where your models can help transform how trading, risk and regulatory data is monitored.

Discover more

Hire Employment Lawyers Intern Post  Job Openings And with a starting salary of CA $85,000 per year, it’s an opportunity worth exploring for data science professionals ready to enter a finance-focused environment.

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- ** About mthree:
** mthree is a talent and technology company that helps organizations build skilled teams across technology, banking and business.

The business was previously known as Wiley Edge before being rebranded as mthree in 2024. Its model focuses on developing and deploying early-career technology and business talent for global organizations.

Hire Civil Engineers--
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* About the Role:

** As a Junior Data Scientist, you’ll work with a banking team supporting Front Office Trading, Risk & Regulatory Compliance Trade Analytics.

The role focuses on developing sophisticated data models and analytical solutions for client and trading analytics across Fixed Income and Foreign Exchange (FX).You’ll also help move traditional controls monitoring toward more modern, data-driven solutions that put analytical insights directly in front of users. The position combines Python, machine learning, predictive analysis, NLP and AI with real-world financial data and business problems.

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* Key Responsibilities:

*** Develop data models using machine learning and data analytics techniques
* Build analytical solutions for trading and client analytics
* Work with data related to Fixed Income and FX markets
* Support risk and regulatory compliance analytics
* Apply AI and predictive analysis techniques to business problems
* Work with Python and data science libraries including pandas and Num Py
* Contribute to data-driven monitoring and analytical solutions
* Help transform traditional controls into more automated, on-screen monitoring approaches
* Analyze patterns and develop insights from complex datasets--
- ** Requirements:
*** Strong understanding of Machine Learning algorithms
* Working knowledge of Python
* Familiarity with pandas and Num Py
* Understanding of data analytics and predictive analysis
* Knowledge of Natural Language Processing (NLP)
* Interest or exposure to AI and robotics
* Strong analytical and problem-solving ability
* Interest in applying data science to financial markets and banking
* Ability to work with complex data and translate analysis into useful business solutions--
- ** Preferred

Skills:

*** Machine Learning
* Data Science
* Python Programming
* Pandas & Num Py
* Natural Language Processing
* Predictive Analytics
* Data Modelling
* Artificial Intelligence
* Robotics* Financial Data Analytics
* Trading Analytics
* Risk Analytics
* Regulatory Compliance Analytics
* Fixed Income Analytics
* Foreign Exchange (FX) Analytics--
- ** Career Insight:
** Data science becomes significantly more valuable when it solves a real business  this role, the problem isn’t simply “Can you build a model?” — it’s how machine learning and analytics can improve the way financial institutions monitor trading, risk and compliance. Discover more

Try CAD Software Career Hire  An Accountant That combination of technical skills + financial domain knowledge can help build a strong foundation for future careers in data science, quantitative analytics, risk analytics, financial technology and machine learning.