Salary
💰 £65,000 - £90,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AirflowAWSBigQueryDockerGoogle Cloud PlatformPandasPostgresPythonPyTorchScikit-LearnSQL
About the role
- Partner with product managers and engineers to translate requirements into technical solutions
- Implement, monitor, and deploy advanced statistical and machine learning models for demand planning and inventory optimisation
- Contribute to our tech stack, tooling, and processes to strengthen ML/AI capabilities.
- Conduct code reviews and champion best practices for model explainability, monitoring, and performance
Requirements
- A strong STEM background (degree or equivalent hands-on experience)
- Experience as a Data Scientist or similar role (startup/scaleup experience is a plus—we’re open to exceptional candidates outside this range)
- Proven expertise in time series analysis, predictive algorithms, forecasting models, and optimisation techniques (e.g., loss functions, constrained optimisation, Bayesian methods)
- Proficiency in Python and libraries such as scikit-learn, Pandas/Polars, and PyTorch
- Strong SQL skills
- Experience deploying, monitoring, and analysing the performance of ML models
- Nice-to-haves: Retail or e-commerce domain knowledge
- Nice-to-haves: Familiarity with AWS or GCP tools ( EKS/GKE, Lambda/CF, Athena/BigQuery)
- Nice-to-haves: Experience with MLFlow or similar model management tools
- Nice-to-haves: Familiarity with Dagster or other orchestration tools (e.g., Airflow)