A rare opportunity to join a high-traffic UK digital marketplace that’s building a brand new data function as part of a major strategic shift.
This business sits on billions of data points across pricing, demand, seasonality and customer behaviour. They are now investing heavily in turning that data into a core revenue stream, building commercial data products for both internal teams and external partners.
You’ll report into a newly appointed Chief Data Officer and play a key role in shaping the next phase of growth.
Working Pattern
Hybrid working - 1 day per week onsite in Leeds.
The Why? (Top 3 Reasons to Apply)
1. Build a Data Revenue Engine
This isn’t incremental optimisation. You’ll help transform a mature digital platform into a data-led, B2B-focused business where insight directly drives recurring revenue.
2. High Impact Commercial Modelling
Work on pricing optimisation, forecasting, attribution, propensity modelling and real-time behavioural insights across millions of records.
3. Influence & Ownership
Join at an inflection point under a new CDO. High visibility, genuine autonomy, and scope to shape tooling, standards and direction.
The What…
As a Senior Data Scientist, you’ll design and deploy production-ready models that influence commercial performance and strategic decision making.
Core responsibilities include:
* Building demand forecasting and price sensitivity models
* Developing marketing attribution and Media Mix frameworks
* Designing propensity and conversion scoring models
* Deploying models into production using modern cloud tooling
* Partnering with engineering to build scalable pipelines
* Working directly with stakeholders to translate modelling into action
What You’ll Bring
* Strong Python and SQL capability
* Experience building and deploying ML models in production
* Background in forecasting, pricing, behavioural or attribution modelling
* Experience operating within AWS, GCP, Azure, Snowflake or Databricks
* Commercial mindset with the ability to influence non-technical stakeholders
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