Naked Wines

About the Company

Discover great wine, your way. We directly support world-class, independent winemakers for a fairer price all round. No tie-ins. No time-limits. You choose how to shop and we’ll credit you back for a wine you didn’t love. You’ll get tailored recommendations to suit your taste buds, get to know the faces behind the bottles and have your say on every sip. This is the world of wine, on your doorstep.

Listed Jobs

Company Name

Naked Wines

Job Title

Data Scientist

Job Description

Job title: Data Scientist Role Summary: Build, maintain, and enhance demand‑forecasting models for a direct‑to‑consumer e‑commerce wine business, driving inventory planning, pricing, and S&OP decisions. Expectations: Deliver accurate, scalable forecasting solutions using Python and SQL; communicate insights to cross‑functional teams; apply time‑series, regression, and introductory machine learning techniques; collaborate with data, platform, and operations teams to ensure model reliability and production readiness. Key Responsibilities: - Develop and refine time‑series, regression, and ML forecasting models across product segments. - Perform scenario modeling to evaluate promotions, pricing, seasonality, and uncertainty impacts. - Analyze demand drivers (customer behavior, pricing, marketing activity) to improve forecast accuracy. - Validate and monitor model performance, track KPIs (accuracy, bias, variability), and conduct root‑cause analysis. - Support forecasting for new product launches using analogues and early indicators. - Prepare and present forecast outputs, risks, and opportunities for S&OP discussions. - Partner with engineering teams to support data pipelines and model deployment. - Contribute to the analytics community through knowledge sharing and practice improvements. Required Skills: - Strong statistical foundation; proficiency in time‑series decomposition, stationarity tests, and forecast evaluation. - Experience with Prophet, ARIMA, and Gradient Boosting (XGBoost). - Advanced Python (Pandas, NumPy, Scikit‑learn, Statsmodels, Matplotlib) and SQL. - Data visualization tools (e.g., Looker) and best‑practice application. - Version control with Git; ability to work with ambiguous data and make pragmatic decisions. - Excellent written and verbal communication, capable of translating complex analyses to non‑technical stakeholders. Required Education & Certifications: - Bachelor’s in Mathematics, Statistics, CS, or related field with 2–3 years in a D2C e‑commerce environment, **or** - Master’s in Data Science (or equivalent) with 1–2 years of relevant industry experience. No additional certifications required.

London, United kingdom

Hybrid

Junior

06-01-2026