Senior Data Scientist - 12 Month FTC - Ocado Logistics

Senior Data Scientist | Hatfield | Hybrid

Please note: Candidates must already have the right to work in the UK; this position is not eligible for visa sponsorship now or in the future.

Why Ocado? Here at Ocado Logistics it’s our mission to provide an outstanding customer experience for our partners, developing ground-breaking technology, opening multiple sites at an accelerating rate and engaging in exciting new business partnerships around the world - changing the way the world shops, for good.

We are the beating heart of our UK business and comprise a network of cutting edge warehouses and offices across the country that ensure that we optimise the experience and use our proprietary technology across the supply chain to deliver an exceptional shopping experience. At the same time delivering bags of possibilities for our employees and a career that will ensure no two days are ever the same.

About the role: We wouldn’t be able to positively impact the way the world shops without our passionate team members - who keep our business running, our vans delivering, our customers' products picked and packed and our proprietary technology operating at optimum levels. Both behind the scenes within the warehouses and across the front end of the customer experience which means we now have an opportunity for a Senior Data Scientist to join the Team on a 12 month FTC.

This role forms part of the Ocado Logistics' Data Science team and will support the Customer Experience team, focusing on a high-impact project to investigate and mitigate order damages (such as crushing and spillages) that impact NPS and drive refund volumes. On this fixed-term contract, the successful candidate will consolidate disparate data sources, bridge existing tracking gaps, and apply advanced statistical analysis and machine learning models to identify key drivers to establish root cause causation and deliver corrective actions. Insights will directly inform strategic decision-making on where to prioritise future operational investments.

• Accountable for project scope, delivery approach and project outputs, including appropriate timeliness and quality.
• Develop other data scientists around you into more capable and experienced people.
• Collaborate with other teams to understand stakeholder needs well and find ways to meet them within the given technical constraints.
• Query data using SQL and other appropriate data manipulation tools.
• Explore available data leveraging Python expertise to answer complex business questions
• Define sensible business metrics for complex business problems.
• Apply sophisticated statistical techniques, and advise as to scientific best practice.
• Perform detailed data visualisations
• Produce reports and presentations for stakeholder and use data to influence decisions