Senior Data Scientist



Salary: -85K - -95K



Location: London (Hybrid - 3 days per week)

Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale.

Already working with paying customers and backed by experienced founders with a successful track record of building and exiting technology businesses, they''re now looking for a Senior Data Scientist to own one of the most important parts of the company.

This isn''t a role where you''ll optimise an existing model or become another specialist in a large data science team.

You''ll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you''ll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer.

You''ll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes.

Working alongside highly experienced founders and recognised experts in machine learning, you''ll have the opportunity to influence product strategy, shape technical direction and establish best practices from day one.

This is a genuine ownership role where your work will have a direct impact on both the product and the future success of the business.

• Strong commercial experience building machine learning models in Python
• Excellent understanding of predictive modelling, classification or propensity modelling
• Experience with feature engineering, model evaluation and experimentation
• Comfortable working across the full machine learning lifecycle
• Experience working with cloud platforms and modern ML tooling
• Curious and analytical mindset

If you''re looking for a role where you''ll solve genuinely difficult machine learning challenges, build something from the ground up and see the direct impact of your work, we''d love to hear from you.