Overview
Data Science Analyst – AI – Bank/Finance Jobs in Mississauga, Ontario, Canada at Collabera
Title: Data Science Analyst – AI – Bank/Finance
Company: Collabera
Location: Mississauga, Ontario, Canada
Job Description
Job Summary
We are seeking a skilled Data Science Analyst to analyze complex datasets, develop machine learning models, and deliver data-driven insights that support business decision-making. The ideal candidate will have strong analytical and programming skills, experience with machine learning and AI technologies, and the ability to collaborate with cross-functional teams to build and deploy scalable analytical solutions.
Key Responsibilities
- 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.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- 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), Deep Learning (DL), 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 technologies.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently while collaborating effectively within cross-functional teams.
Preferred Qualifications
- Experience supporting ML, AI, or Generative AI initiatives in a production environment.
- Familiarity with distributed data and computing platforms such as Hadoop, Hive, Spark, or cloud-based analytics platforms.
- Experience in banking, retail risk management, or financial services.
- Basic understanding of capital markets, financial instruments, and quantitative modeling concepts.
Education
- Bachelor's degree or equivalent experience in a STEM-related field is required.
- Master's degree or other advanced degree is preferred.
The expected base salary range for this position is $55 – $60 per hour, depending on experience, skills, and internal equity.
The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location.
For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.
We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.
