Our vision is to build the Analytics & Insights function as a strategic growth engine and competitive differentiator for the company.

What do we do

Embed analytics across the organisation to help increase revenue, improve operational efficiency, enable cost optimization, improve guest & employee experience and manage risk.
Help decision makers anticipate and respond faster to emerging trends through AI-powered decision intelligence and real-time insights.
Leverage advanced AI, GenAI, and optimization techniques to solve high-impact business problems at scale.

Responsibilities

Solve business problems by applying Machine Learning / Deep Learning models on large volumes of data.
Work on the full spectrum of activities:
framing solution
identifying data sources (internal & external)
conducting experiments
delivering production-ready models
Build end-to-end AI products including deployment, monitoring, retraining pipelines, and governance.
Apply Generative AI (LLMs) for business use cases such as:
personalized customer engagement
AI copilots for operations teams
demand intelligence through unstructured data
retrieval-augmented generation (RAG) for enterprise knowledge
Solve real-world optimization problems such as:
delivery fleet optimization
inventory & replenishment planning
store-level workforce scheduling
pricing and promotion optimization
Proactive communication to understand the problem, work progress & results.
Manage individual project priorities, deadlines and deliverables.
Collaborate closely with product, engineering, and business stakeholders to drive adoption and measurable impact.

Required Skills

46 years of experience building scalable machine learning models in a production setting on large volumes of data.
Strong data wrangling & programming skills (Python, SQL) & experience with cloud technologies.
Strong understanding of core Machine Learning and Deep Learning techniques, including supervised/unsupervised learning, model evaluation, and neural network architectures.
Hands-on experience applying ML/DL to real-world business problems such as forecasting, personalization, customer analytics, and operational optimization.
Exposure to GenAI/LLMs, prompt engineering, embeddings, vector databases, or AI agent frameworks is a strong plus.
Practical knowledge of working with code repository & agile framework.
Experience with MLOps tools (CI/CD, MLflow, model monitoring, feature stores) is highly desirable.
Strong match with our value system & DNA.

Preferred Skills

Supply chain network optimization / forecasting / inventory management
Personalization / Customer Science
Rider fleet optimization and last-mile delivery efficiency (routing, batching, allocation, SLA optimization)
Building AI/GenAI agent-based solutions to solve real business problems such as operational copilots, automated decision support, and intelligent workflow optimization

Qualifications

Data Scientist