Senior Data Scientist - #2631040

Senior Data Scientist

Do you love turning data into decisions that shape products used by millions? As a Senior Data Scientist, you’ll work at the intersection of data, product, and engineering to build models, insights, and experimentation frameworks that directly influence a global consumer platform. Your work will help teams understand users better, optimise experiences, and drive measurable business impact.

What You’ll Do:

Drive Impact with Data: Develop and deploy statistical models and machine learning solutions that solve real product and business problems at scale.

Turn Insights into Action: Translate complex data into clear, compelling insights that inform product strategy, growth initiatives, and operational decisions.

Own Experimentation: Design, run, and analyse A/B tests and experiments, ensuring rigorous methodology and trustworthy conclusions.

Partner Across Teams: Collaborate closely with product managers, engineers, and stakeholders to define success metrics, shape roadmaps, and embed data into decision-making.

Model with Rigor: Apply advanced statistical techniques and machine learning methods, balancing sophistication with interpretability and real-world impact.

Build for Scale: Contribute to scalable data science workflows, reusable features, and production-ready models that integrate seamlessly into the wider data platform.

The Team:

You’ll join a highly collaborative, product-focused data team that plays a central role in how the company builds, evaluates, and improves its products. The team values curiosity, ownership, and pragmatic problem-solving — and works hand-in-hand with engineering and product to ensure data science drives outcomes, not just dashboards. Here, data scientists have real influence and clear visibility of their impact.

What They’re Looking For:

3+ years of experience in data science, applied statistics, or machine learning in a product-driven environment

Strong foundation in statistics, experimentation, and causal inference

Hands-on experience building and deploying machine learning models in production

Excellent SQL skills and strong proficiency in Python

Experience working with large, complex datasets and modern data platforms

Ability to communicate insights clearly to both technical and non-technical audiences

Proven track record of influencing product or business decisions with data

Bonus: Experience in marketplaces, consumer tech, or high-growth digital products

What They Offer:

Competitive salary and:

Hybrid working setup with 2 days per week in the office

Personal development budget + 2 annual learning days

Up to 8 weeks per year working remotely from international offices

Discounted premium gym membership

Bonus, pension, private healthcare

Significant discounts on properties across their own platform