Data Scientist – Applied AI for Real-World Impact
Location: Nottingham (Hybrid, 2 days per week)
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The Opportunity
Join a fast-growing AI company born from world-class academic research and now powering decision-making for major brands like Boots. You’ll work at the intersection of science and impact, turning large, complex behavioural datasets into production-ready AI models that drive meaningful change across healthcare, mobility, and retail.
You’ll take real ownership from concept to deployment, influence product direction, and see your models make a measurable difference in how organisations operate.
What You’ll Do
* Analyse and model large-scale behavioural and temporal datasets
* Build, validate, and deploy ML models for forecasting, classification, and behavioural prediction
* Develop scalable data pipelines and collaborate with engineering and product teams to operationalise models
* Communicate insights clearly to both technical and non-technical audiences
What You Bring
* Strong academic background (STEM or data/AI-related field)
* 2+ years’ experience in applied data science or ML
* Skilled in Python (pandas, scikit-learn; PyTorch/TensorFlow a plus) and SQL
* Hands-on experience with real-world, messy datasets
* Curious, analytical, and motivated by practical impact
Why Join
* Work with a modern AI/ML stack (Python, SQL, Databricks, cloud-first)
* Shape intelligent systems used across multiple industries
* Hybrid working (2 days/week in Nottingham HQ)
* 30 days holiday + flexible working + strong culture of curiosity and experimentation
This is a hands-on data science role where cutting-edge research meets real-world application—ideal for someone who wants to build AI that genuinely improves how people live and work.