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Senior Data Scientist

https://www.upguard.com Logo

UpGuard

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Location:
Australia , Sydney

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We’re looking for a Senior Data Scientist to lead the evolution of our scoring algorithms, provide data-driven insights to our product squads, and help shape how AI is applied across our products. This role bridges analytics, data science, and applied AI, helping turn complex security data into actionable, trustworthy intelligence.

Job Responsibility:

  • Own the design, evolution, and validation of UpGuard’s scoring algorithms across all surfaces - Vendor, Attack Surface, Breach, and User Risk
  • Develop statistical and ML models that translate raw security data into meaningful, calibrated scores
  • Measure and improve score accuracy, stability, and interpretability
  • Work with engineers to deploy and monitor models in production environments
  • Partner with PMs and designers to define success metrics and measure product outcomes
  • Conduct in-depth analyses of adoption, engagement, and retention to guide roadmap priorities
  • Build reusable datasets, dashboards, and frameworks for self-serve analytics
  • Establish best practices for experimentation and data-driven decision making across squads
  • Collaborate with squads building AI-powered features, from automated vendor assessments to breach intelligence and risk summarization
  • Prototype and evaluate new AI/ML techniques (including LLMs, embeddings, and anomaly detection)
  • Define standards for safe, efficient AI usage, including model evaluation and prompt testing

Requirements:

  • 5+ years of experience applying quantitative methods, ideally within a high-growth company, with practical exposure to risk modelling and uncertainty analysis
  • Advanced analytics expertise: Proven track record in building complex statistical or actuarial models (e.g., 5+ years of experience in data science, AI, actuarial science, or similar)
  • AI/ML proficiency: Hands-on experience implementing machine learning approaches (regression, classification, ensemble methods, NLP, deep learning, etc.) in real-world applications
  • Strong statistical foundations: Deep understanding of regression analysis, probability theory, and inferential statistics to accurately model risk
  • Engineering background: Comfortable working with Go, Python and relational and columnar databases (we use Postgres and BigQuery)
  • Collaborative mindset: Excellent communication and stakeholder management skills to align with product managers, engineers, and other cross-functional teams
  • Leadership and ownership: Ability to define a vision, set clear objectives, and drive results in a fast-paced, dynamic environment

Nice to have:

  • Familiarity with or enthusiasm for cybersecurity, cyber risk management, or related fields is highly desirable
  • Domain experience in actuarial science, credit risk, and threat intelligence
What we offer:
  • Monthly Lifestyle subsidy: Use this for financial, physical, and mental well-being
  • WFH set-up allowance: To ensure you have the right environment to work in, we will help you get set up within your first 3 months at UpGuard
  • $1500 USD annual Learning & Development allowance: To support your career development, all team members will be able to expense development opportunities against this allowance
  • Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries
  • 18 weeks paid Parental Leave: Irrespective of parenting role
  • Personal Leave Allowance: This includes sick & carer’s leave
  • Fully remote working environment: While we have physical offices in Sydney & Hobart, we do not mandate compulsory attendance
  • Top-spec hardware: All team members will be provided with top-spec laptops for their role
  • Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work

Additional Information:

Job Posted:
December 27, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

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