The Data Scientist is responsible for developing predictive models, optimisation and analytical solutions across a broad range of business problems including demand forecasting, price and elasticity modelling, customer and store segmentation, and AI/LLM-based solutions that enable data-driven decisions across commercial and operational functions. This role bridges business needs and advanced analytics, combining strong statistical, machine-learning, and data engineering skills with the ability to source diverse data, translate complex results into clear insights, and deliver production-ready solutions. The successful candidate will be adept at understanding business requirements, building models end-to-end, telling compelling data stories, and delivering high-impact solutions on time.
Responsibilities
Modelling & Optimisation
- Design, develop, and deploy predictive and machine-learning models across areas such as demand forecasting, price and elasticity modelling, price/assortment optimisation, and recommendation
- Build customer and store segmentation, clustering, and entity-matching / item-mapping solutions to support commercial and marketing decisions
- Frame business problems as data science problems, selecting appropriate methods and validation approaches to deliver reliable, production-ready outcomes
- Continuously evaluate and improve model performance, accuracy, and business impact over time
AI & Advanced Analytics
- Apply NLP and LLM/Generative AI techniques to use cases such as text classification, sentiment/voice-of-customer analysis, data mapping, and RAG or text-to-SQL applications
- Prototype and evaluate emerging AI approaches, turning promising experiments into practical business solution.
Data, Insights & Data Sourcing
- Source, acquire, and integrate data from internal systems, third-party providers, and external sources (e.g. web scraping, APIs, public datasets)
- Explore, clean, and transform large datasets to prepare high-quality features; ensure data quality, consistency, and integrity
- Identify trends, patterns, and opportunities in data — including external factors — and proactively surface insights that drive business value
Delivery & Productionisation
- Build and maintain data pipelines and scheduled jobs (e.g. on Databricks) to run models and analytics reliably in production
- Deliver results through dashboards, reports, and applications, and maintain clear documentation of models, data, and methodologies
Business Partnering
- Engage with business stakeholders to understand objectives, gather requirements, and translate them into data science solutions
- Communicate complex results clearly to technical and non-technical audiences, and manage timelines and deliverables to agreed success criteria
Requirements
- Bachelor's degree (minimum); Master's degree preferred in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative field
- Minimum 3–5 years of hands-on data science experience in a commercial or enterprise environment
- Experience in retail, FMCG, or e-commerce is a strong advantage
- Strong programming skills in Python and SQL with solid command of data science libraries (e.g. pandas, scikit-learn, TensorFlow/PyTorch)
- Sound understanding of machine-learning and statistical techniques, with experience across several of: forecasting, elasticity/optimisation, segmentation/clustering, and entity matching
- Experience with NLP and LLM/Generative AI (e.g. embeddings, RAG, text-to-SQL) is a strong advantage
- Ability to source and integrate external data via web scraping and APIs (e.g. requests, Playwright/Selenium)
- Experience building and scheduling data pipelines, ideally on Databricks/Spark, or a similar big-data or cloud platform (Azure, AWS, or GCP)
- Strong data storytelling and visualisation skills; able to communicate insights clearly to technical and non-technical audiences
- Proven track record of delivering data science projects end-to-end, on time, and managing stakeholder expectations
- Familiarity with version control (Git) and Agile/Scrum delivery is a plus
United States