Title: Data Scientist
Location: Edmonton, AB (Hybrid)
Status: Full-Time Contract (1-Year)

All Candidates must be eligible and authorized to work in Canada.

Position Overview
Our client is building an enterprise AI Factory to reimagine Retail Banking through the strategic adoption of artificial intelligence. This initiative is focused on transforming customer experiences, employee productivity, banking operations, and service delivery through practical AI solutions.

As a Data Scientist, you will be responsible for applying advanced analytics, machine learning, artificial intelligence, and statistical modeling techniques to generate actionable insights and support the development of AI-powered solutions across Retail Banking. Working closely with the AI Architect and AI Engineers, you will help identify opportunities, validate use cases, measure outcomes, and develop models that improve customer experiences and business performance.

This role is ideal for individuals who combine robust analytical skills with practical business acumen and a passion for leveraging data and AI to solve complex challenges within a customer‑centric financial services environment.

What You’ll Do
Retail Banking Analytics & Insights

Analyze customer, operational, and business data to identify opportunities for Retail Banking transformation.

Develop insights that improve customer acquisition, engagement, retention, and satisfaction.

Support data-driven decision-making across lending, deposits, payments, customer servicing, and relationship management.

Partner with business stakeholders to identify and prioritize high-value AI and analytics use cases.

Data Science & Machine Learning

Develop, test, and deploy predictive models that support business objectives.

Apply machine learning techniques to customer behavior analysis, segmentation, forecasting, propensity modeling,



and operational optimization.

Build analytical models that improve decision-making across Retail Banking functions.

Conduct experimentation and hypothesis testing to validate business opportunities and AI use cases.

AI Factory Enablement

Support the identification and evaluation of AI opportunities across the organization.

Collaborate with AI Engineers to enhance AI-powered solutions through analytics, modeling, and measurement.

Help establish best practices for data science, model development, and experimentation.

Assist in assessing the effectiveness and business impact of AI solutions.

Customer Intelligence & Personalization

Develop customer segmentation and behavioural analytics models.

Support personalized customer experiences through responsible use of data and AI.

Identify patterns, trends, and opportunities within customer and operational datasets.

Contribute to customer journey optimization initiatives across multiple channels .

AI Model Evaluation & Optimization

Assess AI solution effectiveness through testing, measurement, and performance analysis.

Support model evaluation frameworks for Generative AI and machine learning initiatives.

Analyze AI outputs and recommend improvements to accuracy, relevance, and business value.

Develop performance metrics and reporting to support AI adoption decisions.

Responsible AI & Governance

Ensure data science and AI initiatives align with security, privacy, regulatory,



and governance requirements.

Support model documentation, transparency, and explainability efforts.

Participate in model validation and risk management activities.

Promote responsible and ethical use of data and AI technologies.

Mandatories

5+ years of experience in Data Science, Advanced Analytics, Machine Learning, Artificial Intelligence, or related disciplines.

Experience developing predictive models and statistical analyses in production environments.

Strong experience analyzing large and complex datasets.

Experience working directly with business stakeholders to solve business problems using data and analytics.

Experience presenting findings and recommendations to both technical and non-technical audiences.

Required AI & Data Science Skills

Machine Learning

Predictive Analytics

Statistical Modeling

Data Mining

Customer Segmentation

Model Evaluation and Optimization

Generative AI Concepts

Large Language Models (LLMs)

AI Solution Assessment

Data Visualization

Experiment Design and Hypothesis Testing

Preferred Platform Experience
Strong preference will be given to candidates with hands‑on experience in one or more of the following:

Microsoft Copilot

Claude

Azure OpenAI

Azure AI Foundry

Azure Machine Learning

Microsoft Fabric

Power BI

Databricks

Python AI/ML Frameworks

Jupyter Notebooks

Technical Skills

Python

SQL

R

Machine Learning Frameworks

Data Visualization Tools

Statistical Analysis

Power BI

Azure Cloud Services

Data Preparation and Feature Engineering

Model Monitoring and Reporting

Experience supporting AI initiatives, customer analytics, personalization programs, or Retail Banking data science use cases will be considered a strong asset.

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📌 Data Scientist (Alberta)
🏢 Evolutionary Recruiting
📍 Alberta