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About the Role
As a Senior Data Scientist within the Promotion and Optimisation department, you will drive the intelligence behind marketing campaigns by building models that optimize offer allocation across millions of users and global markets. You will lead end-to-end data science and AI projects, from ideation and model design to production deployment, utilizing causal inference, uplift modelling, optimisation techniques, and advanced LLM tools. You will also act as a bridge between data science and business, evaluating strategy impact and identifying opportunities to improve promotion efficiency and customer experience.
Responsibilities
- Take full ownership of complex DS projects, aiming high to spot ML opportunities that reduce wasted spend and drive order growth.
- Develop models predicting incremental impact per user, offer, and market to drive excellence across all promotional strategies.
- Design and deploy scalable, production-grade code and ML pipelines integrated seamlessly into cloud infrastructure.
- Apply causal inference methods and randomized controlled trials (RCTs) to measure true incremental impact across markets.
- Act as a technical partner to leadership through close collaboration, translating complex model outcomes into clear business decisions.
- Champion high coding standards, conduct code reviews, and guide colleagues through technical roadblocks to help one another succeed.
Requirements
- Proven experience as a Data Scientist, with a strong portfolio of delivering impactful projects in a commercial environment.
- Deep theoretical and practical knowledge of uplift modelling, causal inference (meta-learvers, treatment effect estimation), and experimentation (A/B testing, RCTs).
- Experience with optimisation techniques (budget-constrained allocation, knapsack problems), advanced AI tools and decision-focused learning.
- Comfortable writing production-quality Python code.
- Experience with MLOps tools, containerisation (Docker), and orchestration (Airflow/Dagster) is essential.
- Experience with Cloud platforms (GCP/Vertex AI preferred, or AWS/SageMaker) and handling large datasets via SQL/BigQuery.
- A proactive mindset with the vision to spot new opportunities for data-driven improvements in promotional strategy and marketing investment.
- Experience in e-commerce, marketplace, on-demand delivery, or consumer-facing tech industries is a strong asset.
- Excellent communication skills, with the ability to explain complex AI concepts to non-technical stakeholders and influence decision-making.
Skills
- Machine Learning
- Causal Inference
- Uplift Modelling
- Optimisation Techniques
- LLM Tools
- Python
- MLOps
- Docker
- Airflow
- Dagster
- GCP/Vertex AI
- AWS/SageMaker
- SQL
- BigQuery
Location
- Global
Work Type
- Full-time
Experience Level
- Senior
About the Company
- Just Eat Takeaway.com is a leading global online delivery platform focused on empowering everyday convenience.
- Our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
- Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
- Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice.
- At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation.
- Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins.
- By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition.
Equal Opportunity
- 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.