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Evri is a UK-based logistics and transport company that delivers parcels for online retailers, businesses, and consumers. Formerly known as Hermes, the company provides last-mile courier services, nationwide parcel transportation, and drop-off and collection points, supporting both business-to-consumer and business-to-business shipping across the UK and internationally. Its work sits at the intersection of logistics, transport, and e-commerce, connecting retailers with the people receiving their orders.
Head of Data Science at Evri, Leeds Hybrid
Lead Evri’s data science function, scaling Databricks-based machine learning and optimisation across UK logistics. Manage a nine-person team focused on measurable operational and commercial outcomes.
Description
- Lead nine Data Science and Analytics professionals
- Build capability, set direction and foster work that delivers measurable business outcomes
- Collaborate with senior leaders across Operations, Commercial and Finance
- Focus resources on the highest-value opportunities
- Deliver measurable commercial and operational improvements
- Expand the use of machine learning and optimisation methods
- Raise production standards and advance MLOps maturity
- Increase value from the enterprise data platform
- Define advanced analytics best practices across the organisation
- Set standards and contribute to Evri’s wider analytics community
- Partner with Data Engineering to develop the Databricks Lakehouse platform
- Ensure the platform enables next-generation data science, AI and decision intelligence solutions
- Assess where advanced analytics, machine learning and optimisation can deliver the greatest organisational value
- Move solutions efficiently from initial concept into production
Requirements
- Demonstrated leadership in a Head of Data Science role
- Substantial experience leading Data Science, Machine Learning, Operational Research or Statistics teams
- Experience managing and developing teams of at least eight professionals
- Evidence of delivering production models that produced measurable business or customer outcomes
- Advanced knowledge of Databricks, Python and SQL
- Experience using machine learning, forecasting or optimisation to address large-scale operational or commercial challenges
- Ability to influence senior leaders and inform strategic decisions
- Strong communication skills for translating complex technical ideas into clear, actionable guidance
- Commitment to building capability, establishing standards and developing high-performing teams
- Databricks expertise is essential
- Experience delivering production-ready data science solutions in a Databricks environment
Benefits
- Competitive base salary
- Car
- Benefits
- Join a business where senior leaders actively support investment in data science capability
- Work with an advanced Databricks platform and rich operational datasets
- Develop and grow a talented team
- Executive sponsorship and a substantial portfolio of opportunities
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