Data Scientist

Evolutionary Recruiting; Edmonton; Hybrid; CAD 110,000 - 150,000; Full time

Job summary

Evolutionary Recruiting is seeking a Data Scientist to shape analytics initiatives for Retail Banking. You will apply advanced analytics, machine learning, and AI techniques to generate insights and develop AI-powered solutions in collaboration with AI Architects and Engineers.

You will identify opportunities, validate use cases, measure outcomes, and build models that improve customer experiences and business performance in a customer-centric financial services environment.

Qualifications

• 5+ years in Data Science, Advanced Analytics, ML or AI.
• Experience building predictive models in production.
• Strong ability to analyze large, complex datasets.
• Experience translating data findings to business impact.
• Ability to present to both technical and non-technical audiences.

Responsibilities

• Analyze customer, operational and business data to identify opportunities in Retail Banking.
• Develop insights to improve acquisition, engagement, retention and satisfaction.
• Support data-driven decisions across lending, deposits, payments, and servicing.
• Partner with stakeholders to prioritize high-value AI/analytics use cases.
• Develop, test and deploy predictive models supporting business goals.
• Collaborate with AI engineers to enhance AI-powered solutions.
• Establish best practices for data science methods and experimentation.
• Develop customer segmentation and behavioral analytics models.
• Ensure responsible AI with governance and compliance considerations.

Skills

Machine Learning

Predictive Analytics

Statistical Modeling

Data Mining

Customer Segmentation

Model Evaluation

Generative AI Concepts

LLMs

AI Solution Assessment

Data Visualization

Experiment Design

Education

Bachelor’s degree in a relevant field

Tools

Python

SQL

R

Power BI

Azure Cloud Services

Databricks

Job description

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 strong 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.