Apply now

Posted 14 months ago

Data Scientist, ONCAP/OpCo - 12 month contract

@ ONCAP

Toronto, Ontario

$45–$60/hr1+ years experience
Apply now
SIGNALS

Overview

ONCAP is hiring a Data Scientist on a 12-month contract to support AI, analytics and data work at one of its portfolio companies. The role covers customer segmentation, operations and growth analytics, technology assessment and AI-driven acquisition targeting. The posting states an hourly rate of C$45 to C$60.

Pay:

$45–$60 an hour

Responsibilities:

  • Segment customer data for targeted marketing and personalization
  • Build weekly, periodic and quarterly reports in Power BI or similar
  • Conduct operational analyses to find performance drivers
  • Assess data and technology platforms for efficiency

Requirements summary:

  • 1-3 years of data science and analytics experience
  • Expert proficiency in Power BI or Tableau, Python and SQL
  • Familiarity with data analysis and fundamental ML techniques
  • Strong English communication skills, oral and written

Tools & skills

Source and dates

Employer career site / ATS feed · greenhouse

Employer posting date
2025-09-09
First seen by our source
2026-10-12
Source record updated
2026-10-19

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityEntry level
DepartmentData & analytics
Experience1+ years
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

FieldValue
Open jobs on Jobsy1
Job description

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 operating company based on business needs. They will contribute to a variety of projects that drive value creation within the operating 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 operating company. This position is for a current vacancy.

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. 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.

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.

COMPENSATION:

The expected wage rate for this position is C$45-C$60/hour. All-in compensation may vary based on several factors, such as relative experience, education level attained, certification(s), geographical location, etc. to account for local market conditions.

This position is for a current vacancy.

Please note, in accordance with applicable Ontario employment and privacy laws, artificial intelligence (AI)-enabled tools may be used in the hiring process to screen, assess, or otherwise select applicants; however, these tools will not be relied upon exclusively when making any hiring decision.

#LI-DNI

Similar jobs

  • Data Scientist

    Toronto, ON

    Scotiabank

    Candidates need expert Python skills, experience applying AI and machine learning to business problems, and strong SQL and big data skills. They also need Power BI expertise, a relevant STEM degree and strong communication skills.

    Python, SQL, Hadoop, Spark, Power BI, Google Cloud

  • Senior Data Scientist

    Oakville, ON
    Full Time

    Canadian Tire Bank

    5+ YOECandidates need a university degree in statistics, actuarial science or mathematics and five or more years building predictive models and scorecards. They need strong SQL, Python and SAS skills and the ability to explain analytical results to business stakeholders.

    SQL, Python, SAS, Databricks, FICO Analytics Workbench, SAS Enterprise Miner

  • Senior Data Scientist

    Ontario
    Remote

    Instacart: Instacart, the leading grocery technology company in North America, works with grocers and retailers to transform how people shop.

    5+ YOECandidates need 5+ years in a quantitative role, a record of owning ambiguous cross-functional problems, strong experiment design skills, and SQL and Python or R. An MS or PhD in a quantitative field is preferred.

  • Senior Data Scientist

    Toronto, ON
    Full Time

    BDO Canada LLP: BDO Canada LLP is a leading provider of professional services to clients across a variety of sectors and segments.

    5+ YOECandidates need a master's or PhD in a quantitative field and 5+ years building machine learning models in production. Strong Python, SQL and NoSQL skills, cloud deployment experience and clear communication are required.

    Python, TensorFlow, PyTorch, Kubernetes, NVIDIA Triton Server, Git

  • Senior Data Scientist

    Toronto, ON

    Conviva

    5+ YOECandidates need a PhD in Computer Science, Statistics or a related field, or an MS with 5+ years of applied ML experience. They need strong skills in machine learning, deep learning and statistics, Python proficiency, and habitual use of AI coding tools.

    Python, Scala, Spark, Ray, Claude, Cursor

  • Data Scientist

    Toronto, ON
    Full Time

    Bank of Montreal

    3+ YOECandidates need about 3 years of relevant experience or equivalent certification and education, with strong programming in Python or SAS. They also need SQL and big data skills (Hadoop, Spark), and cloud modeling or pricing optimization experience is an asset.

    Python, SAS, SQL, Hadoop, Spark, AWS SageMaker

  • Sr. Data Scientist, Fraud Analytics

    Toronto, ON
    Full Time

    Canadian Imperial Bank of Commerce (Canada): C'est aussi pourquoi une carrière à la Banque CIBC est plus qu'un emploi : c'est une occasion de grandir et de travailler aux côtés de certaines des…

    Candidates need a degree or diploma in analytics, statistics or computer science, plus experience with SQL, SAS, Python or Tableau. Strong modeling, communication and leadership skills are also required.

    SQL, SAS Miner, Python, Tableau

  • Senior Data Scientist II

    Ottawa, ON
    Remote

    Akamai: LinkedIn: https://www.linkedin.com/company/akamai-technologies

    8+ YOECandidates need 8 years of relevant experience and a Bachelor's degree or equivalent. They must know SQL, Spark and Python, machine learning, statistics and internet protocols, and communicate technical ideas clearly.

    SQL, Spark, Python

Locations & environments

Locations

All of CanadaRemote · Hybrid · On-site · Field

Pro tip: add remote jobs to widen your search.

Exclude locations

Workplace type

Company jobs in these results

These are this company’s jobs loaded in your current search. The company may have more openings.