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Added 1 hour ago
Application Security Consultant - SCA (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
…open-source security. Working across the enterprise, you will support application teams, drive security best practices, and improve RBC's overall security posture through the design and…
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Associate Development
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Added 12 hours ago
Data Science & Engineering Lead (Contract)
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Senior Consultant, Influencer
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The Experience Advisors

Data Science & Engineering Lead (Contract)

Markham, ON, Canada

Job type: Full-time
Apply by: Oct 24, 2026
Experience: 7+ years of experience in data science, advanced analytics, or quantitative consulting.
Posting language: English
Posted: Sep 24, 2026

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Original job description

About the Opportunity

Experience Advisors (XA) is seeking a senior contract Data Science & Engineering Lead to serve as the primary quantitative and analytical expert for supporting our clients with enhancing the sophistication and maturity of their Voice-of-the-Customer (VoC) program.

This role is purpose-built for an experienced data scientist / advanced analytics professional who can design, build, and operationalize a CX-to-business-value model that credibly links customer experience metrics to behavioural, operational, and financial outcomes.

You will act as the sole / lead data science resource on this initiative, working closely with XA’s CX strategists, research leads, and analysts. Your work will directly underpin executive-facing business cases, ROI narratives, and a reusable CX value modeling framework.

About the Role & Responsibilities

CX–Value Model Design & Build:

Design and build a statistically sound CX Value Framework that links CX drivers and metrics (e.g., CSAT, rCSAT, tCSAT, CES) to customer behaviours and enterprise outcomes (e.g., revenue, retention, cost-to-serve).
Develop correlation, regression, and sensitivity models to quantify impact and support defensible attribution logic.
Clearly document assumptions, limitations, and methodology to ensure transparency and reusability.

Advanced Analytics & Scenario Simulation:

Conduct scenario and “what-if” modeling (e.g., impact of a +1 or +3 point CX improvement).
Quantify financial and operational implications such as revenue lift, churn reduction, or service cost reduction.
Enable future simulations by designing the model to be modular and updateable.

Data Engineering & Preparation:

Work with large, complex transactional datasets (not survey-only data), integrating CX, behavioural, operational, and financial data sources.
Write efficient SQL to extract, join, and transform data from multiple systems.
Prepare clean, analysis-ready datasets in Python or R.

Model Operationalization & Handover:

Export the final CX Value Model into an Excel-based simulator suitable for non-technical users.
Create clear documentation and logic walkthroughs to support long-term internal use by CX and Analytics teams.
Participate in knowledge-transfer sessions to enable internal capability.

Stakeholder Collaboration & Validation:

Participate in stakeholder working sessions with CX, Analytics, Digital, Retail, Customer Care, and Finance teams.
Support validation discussions by explaining analytical methods and results in plain, business-oriented language.
Incorporate feedback while maintaining methodological rigor.

About You

You are a senior, hands-on data scientist or advanced analytics consultant who is comfortable operating independently, owning complex models end-to-end, and translating analytics into business value.
7+ years of experience in data science, advanced analytics, or quantitative consulting.
Demonstrated experience building business-impact, ROI, or value attribution models, ideally in CX, marketing, service, or digital contexts.
Strong comfort working in ambiguous environments where the problem must be shaped as part of the solution.

Required Technical Skills & Expertise

Core Tools

Python or R for data science, modeling, and statistical analysis.
SQL for data extraction, transformation, and preparation.
Excel for final model delivery, scenario simulation, and stakeholder usability.

Analytical & Domain Expertise

Deep understanding of transactional data (e.g., behavioural logs, operational records, financial transactions), and how it differs from survey-only datasets.
Strong understanding of financial data and KPIs, including revenue, cost, margin, and investment trade-offs.
Proven ability to build complex analytic models that integrate multiple data types and business signals.

Modeling & Methods

Regression modeling, correlation analysis, and driver analysis.
Scenario modeling and sensitivity analysis.
Clear attribution logic and defensible analytical assumptions.

Core Competencies: Skill Depth

Advanced Analytics: CX-to-value modeling · Regression & scenario analysis

Data Engineering: SQL-based extraction · Data integration · Cleaning & preparation

Transactional Data: Operations / Transaction data manipulation · Model integration

Financial Acumen: Revenue, cost-to-serve, ROI modeling

Model Design: Transparent, reusable, and defensible frameworks

You will thrive at The Experience Advisors if you can:

Are comfortable being the primary analytical authority on a high-visibility project.
Enjoy working at the intersection of CX, analytics, and finance.
Can move fluidly between Python/R, SQL, and Excel without losing rigor.
Take pride in building models that executives can actually understand and use.
Balance statistical discipline with pragmatic, decision-oriented thinking.

Why The Experience Advisors?

Experience Advisors (XA) is the consulting and training arm of CSPN Inc., a pioneer in Customer, Employee, and Citizen Experience since 1997. We enable organisations to create exceptional interactions through strategy, research, journey mapping, and enablement programmes. Our re-imagined brand is on an aggressive growth trajectory, offering a workplace where curiosity is rewarded, collaboration is celebrated, and innovation is mandatory.

This role is central to proving and operationalizing the business value of customer experience for a large, complex public-sector organization. Your work will directly shape how CX investments are justified, prioritized, and funded, both for this engagement and as a reusable framework for the future.

Ready to shape the future of evidence-based CX? Apply today with your résumé.

XA is an equal-opportunity employer. Accommodations are available on request for candidates participating in all aspects of the recruitment and selection process.

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More about this job

Responsibilities

Design and build a reusable, statistically sound model linking customer experience metrics to customer behavior and financial or operational outcomes, including scenario simulations and defensible attribution. Integrate transactional and other business data, deliver an Excel-based simulator, document the methodology, and explain findings to stakeholders while supporting validation and knowledge transfer.

Requirements

Requires 7+ years of experience in data science, advanced analytics, or quantitative consulting, with demonstrated experience building business-impact, ROI, or value attribution models. Candidates need strong Python or R, SQL, and Excel skills, expertise in transactional and financial data, and the ability to communicate rigorous analysis in business-oriented terms.

Skills

CX-to-Value Modeling
Advanced Analytics
Python
R
SQL
Excel
Regression Modeling
Correlation Analysis
Scenario Modeling
Sensitivity Analysis
Data Integration
Transactional Data Analysis
Financial Modeling
ROI Modeling
Data Preparation
Stakeholder Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Voice Of The Customer
Customer Experience
CX Value Framework
Python
R
SQL
Excel
Regression Modeling
Correlation Analysis
Driver Analysis
Scenario Modeling
Sensitivity Analysis
Transactional Data
Data Integration
Data Cleaning
Revenue
Retention
Cost-To-Serve
ROI Modeling
Attribution Logic
Financial KPIs
Behavioral Data
Operational Data
Customer Satisfaction
Customer Effort Score
Business Case Development
Model Operationalization
Data Science
Advanced Analytics
Stakeholder Validation

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