Job Title: Data Engineer - Python Location: Toronto, ON Duration: 6+ Months Daily Responsibilities: - Implementing and automating models developed by the product team.
- Generating statistical models based on use cases and ensuring correct correlation analysis for clients (e.g., identifying similar clients and generating insights based on similarities).
- Turning data into code to help Capital Markets deliver real-time analytics to customers.
- Supporting the transition from batch processing to real-time insights, helping build the framework and engine for this initiative
Must have skills: - 7+ years of experience in a data science role
- Expert-level Python skills (pandas, NumPy, matplotlib, requests, scikit-learn)
- Strong experience in machine learning frameworks such as PyTorch (or Keras, TensorFlow, Apache Spark)
- Hands-on experience optimizing quantitative models
- Deep knowledge of mathematics and statistics
- Experience in data engineering for distributed stream processing
- Previous exposure to AI tools and technologies
- Strong communication skills, ability to work with cross functional teams, ability to translate technical terminology, strong initiative, team first mentality, creative and curious to learn.
Mindlance is an equal opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process.