Overview

We are looking for an experienced Principal Product Data Scientist to join a global technology organisation. This is a senior leadership role where you will set the vision, shape the technical direction, and deliver strategic impact through innovative analytical solutions.

What you will do

• Define and lead the Data Science strategy for Product, embedding advanced analytics, data science, and AI methodologies into how products are built and customer experiences improved.
• Act as a trusted advisor to senior Product and Engineering leadership, ensuring data-driven decision making at the highest level.
• Drive the development and adoption of scalable, automated data science tooling and frameworks.
• Explore and integrate emerging AI technologies, such as LLMs and Agentic AI, taking use cases from proof-of-concept through to production.
• Champion best practices in experimentation, causal inference, and uplift modelling.
• Own and deliver the most complex analytical projects, translating ambiguous questions into actionable recommendations.
• Mentor and coach Data Scientists and Analysts, fostering technical excellence and a culture of continuous learning.
• Scale impact through automation, self-service, and democratisation of data science.
• Develop advanced customer segmentation and predictive models that directly inform the product roadmap.
• Communicate complex concepts to diverse audiences across Product, Engineering, Design, and Commercial functions.

What you’ll bring

• Extensive experience in Data Science or a similar quantitative role, with a strong track record of influencing product strategy.
• Expert-level proficiency in Python and SQL, with deep experience in statistical modelling, experimentation, and a wide range of machine learning techniques.
• Strong product acumen and experience defining and operationalising product and feature-level metrics.
• Demonstrated ability to drive strategic impact and influence at senior level.
• Experience scaling analytics capabilities through automation and self-service.
• Outstanding leadership, mentoring, and collaboration skills.
• Degree in Statistics, Mathematics, Data Science, Engineering, Economics, or a related field. A Masters or equivalent advanced degree is desirable.

Nice to have

• Experience with applied AI, such as NLP, LLMs, or Agentic AI.
• Background in two-sided marketplaces, e-commerce, or technology-driven industries.
• Advanced programming skills for building simulations and prototyping data products.
• Experience validating quantitative findings with qualitative research.
• Competitive compensation package with base salary and annual bonus.
• Remote-friendly working with flexible schedules and strong work-life balance.
• Generous lifestyle and travel perks.
• Tuition assistance and career development support.
• Health benefits, employee assistance programme, and matched charitable donations.

We are committed to building an inclusive workplace where you can bring your whole self to work, grow your career, and have a real impact.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

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