Data Scientist, ONCAP/OpCo - 12 month contract

ONEX•Toronto, ON

32d

About The Position

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. 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. Key projects will include: 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.

Requirements

1-3 years relevant experience is 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.
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.

Responsibilities

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.
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.
Analyze data to determine cost-effective strategies for delivering products or services.
Provide insights into customer behavior to enhance sustainable growth.
Assess current data and technology platforms to identify opportunities for greater efficiency and effectiveness.
Leverage AI and data-driven targeting techniques to identify, evaluate, and prioritize high-potential acquisition targets aligned with the fund’s investment thesis.