At a Glance
- Tasks: Lead data science projects to optimise pricing strategies and drive growth.
- Company: Join Just Eat Takeaway.com, a global leader in online food delivery.
- Benefits: Enjoy a dynamic work culture with opportunities for growth and inclusivity.
- Why this job: Make a real impact on pricing strategies that connect millions of customers worldwide.
- Qualifications: Strong background in data science, statistics, and machine learning.
- Other info: Collaborate with top brands in a fast-paced, supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
Ready for a challenge? Then Just Eat Takeaway.com might be the place for you. We're a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
About this role
The Revenue Management & Pricing team owns the consumer pricing agenda globally at JET, ensuring development of business-critical ML capabilities and features, and ultimately delivering on revenue and growth targets to our business. We design prices to align both customers and partners' interests while maximising the value created by our marketplace.
Reporting to our Global Head of Data Science (Pricing & Marketing), we are seeking a highly skilled Lead Data Scientist to join our team to deliver all the aspects of our consumer pricing strategy, including experimentation, data analysis and pricing optimization.
These are some of the key components to the position:
- Commercial excellence: to develop and implement market leading pricing strategies that optimise growth and margin across the countries where we operate. Recommend commercial strategies, tactics and guidelines, collaborate with local markets senior stakeholders to agree on optimal approach.
- Pricing modelling, experimentation and execution: capture data, develop ML models and tools and apply statistical modelling to determine the impact of our pricing actions. Run experiments in a commercial environment which require lateral thinking and deep statistical understanding.
- MLE partnership: partner closely with Machine Learning Engineers, who own the deployment and scaling processes, to transition robust pricing model designs and thoroughly documented algorithmic logic for production implementation.
- Insights generation and analysis: guide commercial stakeholders in deep-dive analysis of large-scale customer data to translate findings into actionable pricing recommendations and tools. Conduct ad-hoc analyses requested by senior management and key stakeholders to support strategic decisionāmaking processes.
- Leadership & innovation: take full ownership of complex data science projects from the initial what if question to final delivery. Proactively identify opportunities within consumer pricing and our logistics operations where machine learning and pricing optimization can drive growth, costāsavings and logistics network efficiency.
What will you bring to the team?
- Strong knowledge of underlying mathematical foundations of statistics, exploratory analysis, economics in the ecommerce domain and analytics (prescriptive and predictive), testing and modelling. Experience in Bayesian modelling is not essential but highly desirable.
- Experience developing, testing, deploying, and maintaining machine learning models in a corporate environment.
- Strong knowledge of experiment design & setup with the ability to define business goals, identify variables (price points, pricing structures, segmentation, etc.), choose experiment methodology and plan implementation.
- Exceptional communication and stakeholder management skills, with the ability to influence technical peers and non-technical business leaders.
- An analytical problem solver who values simplicity, brings clarity to ambiguous questions, and communicates complex insights effectively to any audience.
- Exceptional attention to detail and proactive mindset with a continuous improvement approach, constantly seeking ways to enhance our pricing capabilities and tools.
- Bachelor or Master's degree in Data Science, Computer Science, Statistics or a related quantitative field.
At JET, this is on the menu: Our teams forge connections internally and work with some of the bestāknown brands on the planet, giving us truly international impact in a dynamic environment. Fun, fastāpaced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.
Inclusion, Diversity & Belonging: No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.
Lead Data Scientist - Pricing in London employer: Just Eat Takeaway.com
Contact Detail:
Just Eat Takeaway.com Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Lead Data Scientist - Pricing in London
āØTip Number 1
Network like a pro! Reach out to current or former employees at Just Eat Takeaway.com on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
āØTip Number 2
Prepare for the interview by diving deep into their pricing strategies and recent projects. Show us that youāre not just another candidate; youāre genuinely interested in how we optimise growth and margin!
āØTip Number 3
Practice your storytelling skills! When discussing your past experiences, frame them in a way that highlights your problem-solving abilities and how youāve used data science to drive results. We love a good story!
āØTip Number 4
Donāt forget to apply through our website! Itās the best way to ensure your application gets seen by the right people. Plus, it shows us youāre serious about joining the JET family!
We think you need these skills to ace Lead Data Scientist - Pricing in London
Some tips for your application š«”
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with machine learning models, pricing strategies, and any relevant projects that showcase your analytical skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about pricing and data science. Share specific examples of how you've tackled similar challenges in the past. Let us know why you're the perfect fit for Just Eat Takeaway.com!
Showcase Your Communication Skills: As a Lead Data Scientist, you'll need to communicate complex ideas clearly. In your application, demonstrate your ability to convey technical concepts in an understandable way. This will help us see how you can engage with both technical and non-technical stakeholders.
Apply Through Our Website: We encourage you to apply directly through our website. Itās the best way for us to receive your application and ensures youāre considered for the role. Plus, youāll find all the details you need about the position and our company culture there!
How to prepare for a job interview at Just Eat Takeaway.com
āØKnow Your Numbers
As a Lead Data Scientist, you'll need to demonstrate your strong grasp of statistics and data analysis. Brush up on key concepts like Bayesian modelling and experiment design. Be ready to discuss how you've applied these in past roles, especially in pricing strategies.
āØShowcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach complex pricing challenges and be ready to explain your thought process clearly. Use examples from your experience to illustrate your analytical problem-solving abilities.
āØCommunicate Effectively
Exceptional communication is crucial for this role. Practice explaining complex data insights in simple terms. You might be asked to present findings to non-technical stakeholders, so ensure you can convey your ideas clearly and persuasively.
āØDemonstrate Leadership and Innovation
Be prepared to discuss how you've taken ownership of projects in the past. Highlight instances where you've identified opportunities for improvement or innovation in pricing strategies. Show that you're proactive and can lead initiatives that drive growth and efficiency.