Data Scientist

FirePower Capital Corporation; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading M&A advisory firm in Toronto is seeking a Data Scientist to enhance data-driven decision making for its clients. This full-time role focuses on analyzing data, preparing insights for stakeholders, and collaborating with diverse teams. Ideal candidates have a strong foundation in data analytics and engineering, with skills in Python and SQL. This role promises high visibility and significant impact on client engagements, requiring both technical expertise and strategic thinking.

Qualifications

• Strong academic performance in relevant fields.
• Experience through internships, co-op, or academic projects in data science or analytics.
• Comfort with ambiguity and organized approach.

Responsibilities

• Lead project delivery with client communications.
• Evaluate client infrastructure and develop tailored data maturity roadmaps.
• Build and deploy models and dashboards that drive measurable outcomes.

Skills

Strong problem-solving skills

Excellent communication skills

Adaptability to new tools

Entrepreneurial mindset

Proficiency in Python

Proficiency in SQL

Familiarity with data visualization tools

Education

Degree in Commerce, Math, Science, Engineering, Economics

Tools

pandas

NumPy

scikit-learn

Tableau

Power BI

Azure

AWS

Job description

Overview

FirePower Capital is Canada’s go-to M&A advisory and private capital firm for entrepreneurs. Our Value Maximization (VMX) group is a data & AI SWAT team, transforming raw data into strategic firepower that drives enterprise value and protects the downside.

The Role

This is a rare opportunity to join a fast-moving, commercially minded team that blends deep technical expertise with sharp business instincts. As a Data Scientist on the VMX team, you’ll work directly with entrepreneurial companies and senior executives, helping them make smarter, data-driven decisions - whether they’re preparing for a sale, scaling operations, or navigating complex market dynamics.

We’re looking for a Data Scientist with a strong foundation in data engineering and analytics. Your focus will be on analyzing business requirements, preparing and transforming data, and visualizing insights in a way that resonates with non-technical stakeholders. This is a full-time role with high visibility and impact.

Examples of projects

• Analyze business requirements and conceptualize a roadmap for proper implementation of data capture, storage, cleaning / transformation, analytics and AI
• Design and automate data workflows that integrate / blend data from various systems / platforms and enable faster and more reliable insight
• Develop automated dashboards, algorithms, and scoring systems that drive tactical and strategic decisions across business functions, including :
• Lead qualification and ranking
• Customer segmentation and churn prediction
• Overall equipment effectiveness (OEE) analysis
• Staff performance benchmarking
• Inventory optimization
• Demand forecasting
• Financial process automation

Role & Responsibilities

The Data Scientist will be focused on driving significant value for our portfolio companies and advisory clients using data-driven techniques. This is a junior-to-mid-level role requiring ownership of end-to-end delivery of insights that increase shareholder value and inform strategy.

You’ll collaborate with other stakeholders across the firm and contribute to internal knowledge sharing and documentation.

• Lead project delivery with support, including scoping, task management, and client communications.
• Evaluate client infrastructure and data assets to develop tailored data maturity roadmaps.
• Design scalable data architectures and pipelines aligned with business goals.
• Build and deploy models, dashboards, and decision-support tools that drive measurable outcomes.
• Translate complex findings into actionable insights for executive stakeholders.
• Enhance data collection and enrichment, including integration of external sources.
• Cleanse, process, and validate data across internal and external systems.
• Conduct ad-hoc analysis and present results clearly to non-technical audiences.
• Build API integrations and automate data ingestion workflows.
• Conduct data mining and exploration using machine learning techniques for classification, prediction, and optimization.
• Collaborate cross-functionally to align data initiatives with business strategy.
• Contribute to internal documentation, best practices, and reusable assets.

Desired Skills and Aptitude

• Strong academic performance in Commerce, Math, Science, Engineering, Economics, or related fields.
• Quick learner with adaptability to new tools and business contexts.
• Entrepreneurial mindset with a bias toward action and real-world problem solving.
• Demonstrated business acumen and strategic thinking.
• Experience through internships, co-op, or academic projects in data science or analytics.
• Strong problem-solving skills and comfort with ambiguity.
• Organized, detail-oriented, and process-driven.
• Excellent communication skills, especially with non-technical stakeholders.
• Proficiency in Python and SQL; familiarity with pandas, NumPy, scikit-learn.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with cloud platforms (e.g., Azure, Microsoft Fabric, AWS).
• Understanding of machine learning algorithms (e.g., k-NN, SVM, Decision Forests).
• Applied statistics knowledge (e.g., regression, distributions, hypothesis testing).
• Experience with data pipelining / orchestration tools
• Comfort working with scalable data architectures and systems.

The role reports to the Associate Manager, Value Maximization.