Data Scientist, ONCAP

Data Scientist, ONCAP - 12 Month Contract

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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.

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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.

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:
  D…