Senior Data Scientist
Role details
Job location
Tech stack
Job description
Data is core to our decision making, and we have one of the richest datasets in the industry. The Data Science team develops models which turn our data into actionable insights. It is our mission to leverage data to give the best value and experience to our customers and suppliers whilst increasing profitability and growth for Ocado Retail.
The Data Science team is responsible for understanding the complexities in the data, generating appropriate models to answer business questions, and delivering the outputs of these models to stakeholders in diverse areas of the business. It is our responsibility to work across functions to productionise these models so they are available to the right people, any time they need them. This could be in the form of a data table with the outputs of the model, or developing an interface to allow users to leverage models for their specific needs.
Our remit is to apply statistics, machine learning and artificial intelligence to our data at scale, and to do this we use Python, SQL, and the Google Cloud Platform (GCP). We are cross-functional by design, working with stakeholders across the business with varying degrees of technical expertise, meaning communicating complex ideas is core to the success of the Data Science team.
What you'll do
- Take the lead in line managing and mentoring junior members of the Data Science team, coaching them to realise their career ambitions.
- Apply advanced statistics and machine learning to our industry-leading retail dataset within a fast-paced, agile framework.
- Use Python and SQL, operating directly on our Data Lake in GCP, to solve complex challenges like optimising demand forecasting, improving customer conversion, and delivering sophisticated pricing optimisation models.
- Transform prototypes into reliable, production-ready systems hosted on Vertex AI, working cross-functionally to productionise models-leveraging modern MLOps tools such as Kubeflow.
- Communicate complex findings clearly to stakeholders to influence decision-making at all levels of the organisation.
Requirements
Do you have experience in Unit testing?, * Extensive experience as a data scientist, with a demonstrable track record in the end-to-end development and deployment of high-impact data science products
- Deep expertise in advanced statistical modelling and machine learning, with practical experience tackling retail-specific problems like pricing optimisation, demand forecasting or customer lifetime value
- Experience with Python and SQL, including key packages such as numpy, pandas and scikit-learn
- Familiarity with software engineering best practices, such as unit testing, CI/CD, and containerisation
- Experience with version control software and platforms such as GitLab or GitHub.
- Have experience with implementation of machine learning concepts and methods
- Experience in a line managing capacity, including mentoring and coaching junior data scientists to realise their career ambitions
- Have great communication skills with a passion for data storytelling
Benefits & conditions
Pulled from the full job description
- Shuttle service provided
- Company pension
- Private medical insurance
- Discounted gym membership
- Car scheme