Data Scientist, ONCAP - 12 Month Contract

Onex; Toronto; On-site; CAD 60,000 - 80,000; Part time

Job summary

A leading investment management firm in Toronto seeks a Data Scientist to enhance data-driven decision-making within its portfolio companies. The ideal candidate will drive insights using advanced analytics and collaborate closely with various teams. This entry-level contract role requires strong analytical skills, proficiency in BI tools, and the ability to communicate effectively. Passion for data science is essential, along with familiarity in Python and SQL.

Qualifications

• 1-3 years relevant experience in data science and analytics.
• Expert proficiency in BI tools, Python, and SQL.
• Strong attention to detail and analytical methodologies.

Responsibilities

• Drive data-driven evolution within the portfolio company.
• Analyze data to create insights for performance optimization.
• Collaborate with teams to leverage data for growth.

Skills

Advanced analytics

Customer data segmentation

Collaboration with business teams

AI-driven targeting techniques

Communication skills

Tools

Power BI

Python

SQL

Job description

Overview

ONCAP targets significant minority or control equity investments of $20 - $250 million in North American businesses with EBITDA of $5 - $50 million and total enterprise values of $50 - $500 million. Since its launch in 1999 and throughout its 25-year history, ONCAP funds have never impaired capital on any realized investments. ONCAP has over $3.0 billion deployed across 37 operating companies and completed over 200 add-on acquisitions since inception. More information can be found at www.oncap.com or www.onex.com.

The Opportunity

ONCAP is seeking a Data Scientist to support the AI, Analytics, and Data function within one of its portfolio companies. The selected candidate will be assigned to a specific portfolio company based on business needs. They will contribute to a variety of projects that drive value creation within the portfolio company and across ONCAP.

The hire will report directly to the Head of AI, Analytics and Data at ONCAP, as well as to operating leaders at the assigned portfolio company.

What you will do

• The successful candidate will play a key role in accelerating data-driven evolution within the portfolio company by using advanced analytics to drive business value, and work with alternative datasets to curate novel insights.
• Customer Data & Insights: Segment customer data to drive targeted marketing and personalization strategies.
• Develop and maintain weekly, periodic, and quarterly reports using Power BI or similar tools.
• Collaborate with business teams to leverage data in alignment with growth priorities.
• Explore AI-driven personalization opportunities to optimize customer engagement.
• Operations Analytics & Optimization: Conduct in-depth operational analyses to identify performance drivers, uncover improvement opportunities, and address key business challenges.
• Develop insights to optimize revenue and working capital performance.
• Business Strategy & Growth Analytics: Analyze data to determine cost-effective strategies for delivering products or services; Provide insights into customer behavior to enhance sustainable growth.
• Technology & IT Efficiency Assessment: Assess current data and technology platforms to identify opportunities for greater efficiency and effectiveness.
• Targeting: Leverage AI and data-driven targeting techniques to identify, evaluate, and prioritize high-potential acquisition targets aligned with the fund’s investment thesis.

What you will bring

Professional Characteristics

• 1-3 years relevant experience in data science and analytics.
• Expert proficiency in BI tools, programming and querying languages including Power BI (or Tableau), Python, SQL, strongly typed and / or functional languages a plus.
• A strong intuition for analytical methodologies and desire to solve novel technical challenges.
• Exceptional attention to detail, ensuring accuracy, consistency, and reliability across all analyses and deliverables.
• Familiarity with data analysis and fundamental ML modeling techniques.
• Ability to communicate technical concepts to non-technical audiences effectively both orally and in writing.
• Be passionate about the application of data science to drive business impact, and intellectually curious about solving real-world questions from data.
• Strong proficiency in English, ensuring clarity in both technical and business communication.

Personal Characteristics

• Judgment and Flexibility: Thinks about issues and develops solutions that thoughtfully take the broader context into account. Positively deals with a shifting demand for time, priorities, and the rapid change of your environment.
• Ownership and Initiative: Takes ownership for and “rolls up sleeves” to meet objectives.
• Excellence: Demonstrates accuracy and thoroughness. Ensures quality and demonstrate a strong attention to detail and follow-through. Commits to implementing best practices and continuous improvement.
• Teamwork: Cooperates with management, colleagues, and third-parties and operates with humility. Seeks and is open to give and receive suggestions to develop better solutions and to make the team stronger.
• Communications: Demonstrates strong written skills and presents analysis, suggestions, and other information clearly and concisely; presence and self-confidence to interface with the key constituents of the firm including management teams of companies, deal professionals, service providers and others.
• Great relationship management skills – networking, influencing, collaborating – and a proven ability to build trust with clients and other organizational partners.
• Ability to drive a process forward through completion, and to effectively prioritize competing objectives and urgent deadlines.
• A pattern of excellence, both personally and professionally, demonstrated by the individual’s education, career track record, intellect, and professional reputation; self-awareness, maturity, irreproachable integrity.

Seniority level

• Entry level

Employment type

• Contract

Job function

• Information Technology

Industries

• Investment Management