Data Science Analyst (Retail and Wealth)

Job Description

Data Science Analyst (Retail and Wealth):
On behalf of our Retail and Wealth client, Procom is searching for a Data Science Analyst for a 5 month contract role. This position is a hybrid position with 3 days onsite at our client’s Mississauga office.

Data Science Analyst (Retail and Wealth) - Job Description:
This role involves analyzing large datasets to extract business insights and support decision-making processes. The Data Science Analyst will be engaged in both the development of new analytical solutions and the enhancement of existing models, focusing on the Retail and Wealth sectors.

Data Science Analyst (Retail and Wealth) - 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.

Data Science Analyst (Retail and Wealth) - Mandatory Skills:
• Master's degree or Bachelor'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.
• Proficiency in Python, SQL, Spark, PySpark, TensorFlow, or similar analytical and model-building tools.
• Familiarity with LLMs and GenAI technologies.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently while collaborating effectively within cross-functional teams.

Data Science Analyst (Retail and Wealth) – Nice-to-Have Skills:
• 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.

Data Science Analyst (Retail and Wealth) – Assignment Length:
This is a 5 month contract position.

Data Science Analyst (Retail and Wealth) - Start Date:
ASAP.

Data Science Analyst (Retail and Wealth) - Assignment Location:
Mississauga, Ontario, Canada. This is a hybrid role requiring 3 days in-office.

This employer uses both human and technology-assisted tools to support candidate screening and assessment. Final hiring decisions are made by people.