Data Science Manager - Delivery Team

1 мес. назад

United KingdomEuropeLeadOnsite

machine learningcausal inferencedata scienceanalytics

Lead and develop a data science team focused on optimizing delivery rider supply and network efficiency through analytical and machine learning approaches.

Условия

Delivery is at the heart of ’s customer proposition. The team’s work directly affects whether we have the right rider supply, how quickly orders arrive and how efficiently the marketplace operates.
In this role, you’ll work on distinctive and highly interconnected problems across network economics, logistics and rider operations. You’ll have significant autonomy to shape the team’s roadmap, influence senior stakeholders and develop a strong team of data scientists.
You’ll also have the opportunity to apply experimentation, causal inference and systems thinking to decisions that directly affect ’s growth, service quality and network efficiency.
We’re looking for someone who is comfortable with ambiguity, can create structure where needed and can align teams around the most important problems.

Другое

Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Data Science organisation sits at the heart of , powering decision-making across product, commercial and operational teams through experimentation, causal inference and applied machine learning.
We’re hiring a Data Science Manager to join our Delivery team. Delivery is responsible for making sure we have the right rider supply to meet consumer demand at a local level, while maintaining speed, reliability and network efficiency.
You’ll lead a team focused on areas such as rider pay, incentives, supply and demand, load management and network economics. The work is highly specific to ’s marketplace and requires balancing multiple interconnected outcomes across riders, consumers and the wider delivery network.
This role is based in London and sits within the wider Delivery Data Science team. You’ll report to a Senior Data Science Manager and partner closely with Operations, Product, Machine Learning and Engineering teams.
You’ll own the analytical direction and impact of a defined area within Delivery, while leading and developing a team of approximately 4 to 6 data scientists.
The team spans a range of experience levels and is continuing to grow. You’ll provide structure, coaching and technical direction to help them operate effectively in a complex, fast-moving environment.
Depending on scope, your team may work across areas such as:
rider pay, incentives and surge pricing;
rider supply and fleet sizing at a local level;
balancing supply and consumer demand;
load management and network performance;
understanding rider behaviour, including changes in acceptance rates;
using experimentation to understand how riders and the network respond to changes in pay, incentives and demand signals;
improving how different operational and economic levers are used across the delivery system.
You’ll identify the highest-value problems, guide the team towards the right analytical approach and ensure the work leads to clear operational, product and commercial decisions.
A key part of the role is applying systems thinking. Changes to pay, supply, incentives or dispatch can have knock-on effects across the network, so you’ll need to reason through these interactions and support informed trade-offs.
You’ll work closely with stakeholders across Operations, Product, Machine Learning and Engineering, including teams closest to day-to-day rider and market performance.
This is a hands-on management role, with a meaningful portion of your time spent on direct technical contribution. Hands-on work is likely to be analytical, such as investigating market changes, interpreting experiments and unblocking complex problems.
You’ll also maintain high analytical standards, delegate effectively and support team development through coaching and feedback.
Our ideal candidate will bring:
Experience line managing data scientists and developing high-performing teams
A strong background as a senior data science individual contributor
Strong expertise in experimentation and causal inference
The ability to reason through complex systems and understand how changes in one area affect wider network outcomes
Experience translating analysis into operational, product or commercial decisions
Strong stakeholder management skills and confidence working with senior leaders
The ability to bring structure to ambiguity, prioritise effectively and shape a clear roadmap
Experience in economics, marketplaces, logistics, mobility, supply and demand, pricing or operations would be valuable, but is not essential. We’re more interested in your ability to solve complex analytical problems within a dynamic, multi-sided marketplace.
At , we believe great workplaces reflect the world around us. We welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion or belief.
If you require adjustments at any stage of the application or interview process, please let us know. We’re committed to ensuring everyone has an equitable opportunity to succeed.
Ready to shape how balances rider supply, consumer demand and delivery performance? Apply today.