Senior Data Scientist- First party customer data
Description
🚀 Senior Data Scientist – First-Party Customer Data
💰 Salary negotiable up to £75,000 DOE + benefits
📍 Holborn, London | 🏢 Office-based Monday–Thursday
🔎 Job ID: J13195
🧠 Build AI-powered products that turn customer data into commercial impact.
Join an established analytics and technology business developing cutting-edge SaaS products and bespoke AI solutions for major brands across retail, finance, travel, telecoms and healthcare.
💡 With two live products and further AI solutions in development, this is an opportunity to work on applied data science that delivers tangible business results.
🎯 The Role
Reporting to the CTO, you’ll own end-to-end data science projects, developing and deploying machine learning models that drive better customer and commercial outcomes.
You'll work across:
- 📊 Customer segmentation, propensity modelling and churn prediction.
- 📈 Revenue and demand forecasting.
- 💻 Python-based modelling, feature engineering and model validation.
- ☁️ Production deployment, cloud infrastructure and MLOps.
- 💡 Translating complex analysis into actionable commercial insights.
- 🤝 Collaborating with product, engineering and client teams to develop AI-powered solutions.
👩 💻 About You
- 🎓 4–5 years’ experience in data science or advanced analytics.
- 🧮 Strong mathematical, statistical or physics background.
- 🔍 Experience analysing large volumes of first-party customer data, ideally within an agency, retail or insurance environment.
- 🐍 Strong Python, SQL and Jupyter skills.
- 📊 Hands-on experience with customer segmentation, propensity modelling and forecasting.
- ⚙️ Proven ability to deliver end-to-end machine learning projects, from analysis through to deployment.
- 🗣️ Commercially minded, with strong communication and stakeholder management skills.
Experience in a consultancy or agency environment would be advantageous. Cloud experience is welcome, but no specific platform is required.
🌟 Why Join?
- 🚀 Work on cutting-edge, applied AI and machine learning.
- 🏆 Build products used by major brands across multiple sectors.
- 💡 Take ownership of meaningful projects and influence the development of a growing data science team.
📩 Interested? Get in touch to find out more!