Data Scientist
Naked Wines
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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Salary
💰 £40,000 - £50,000 per year
Tech Stack
About the role
- Build, maintain, and improve demand forecasting models across product segments using Python and SQL, with support from senior team members
- Apply statistical forecasting techniques including time-series models, regression methods, and introductory machine learning approaches
- Support scenario modelling to assess the impact of promotions, pricing changes, seasonality, and uncertainty
- Analyse demand drivers such as customer behaviour, seasonality, pricing, and commercial activity to improve forecast accuracy and robustness
- Validate and monitor model performance to ensure outputs are accurate, reliable, and appropriate for use
- Track and report on forecasting KPIs including accuracy, bias, and demand variability, supporting root-cause analysis where forecasts differ from actuals
- Contribute to forecasting for new product and wine launches, using historical analogues and early performance indicators
- Work collaboratively with stakeholders across Sales, Marketing, Supply, Finance, Category, Logistics, and Operations to translate business context into analytical inputs
- Prepare and communicate forecast outputs, risks, and opportunities for S&OP discussions, ensuring insights are clear, evidence-based, and actionable
- Partner with Platform Engineering and Data Engineering to support production data pipelines and model deployment
- Take part in the wider Analytics & Data community, sharing learnings and contributing to improvements in team practices
Requirements
- A Bachelor’s degree in Mathematics, Statistics, or a related field with 2–3 years’ experience in a D2C ecommerce environment, or
- A Master’s degree in Data Science with 1–2 years’ relevant industry experience
- Experience building or supporting demand forecasting models, with a solid understanding of:
- - Seasonality, trend analysis, and decomposition
- - Stationarity and forecast evaluation
- Familiarity with forecasting and machine learning approaches such as Prophet, ARIMA, and Gradient Boosting (e.g. XGBoost)
- Strong Python and SQL skills, including libraries such as Pandas, NumPy, Scikit-learn, Statsmodels, and Matplotlib
- Experience using data visualisation tools (e.g. Looker) and applying visualisation best practices
- Comfortable working with ambiguous or imperfect data and making informed, pragmatic decisions
- Experience collaborating with multiple technical teams to support end-to-end data and model pipelines
- Familiarity with Git for version control
- Able to communicate complex ideas clearly to both technical and non-technical audiences
Benefits
- A competitive salary of £40-50k pa (depending on location) plus annual bonus opportunity
- 26 days holiday and bank holidays (you can buy or sell holiday too)
- A £300 annual personal development budget - we're passionate about supporting people to follow their dreams inside or outside of Naked
- £450 every year to treat yourself to some of our delicious wines...all in the name of research, of course
- We want to do our bit for the community and give everyone paid leave to volunteer
- We have Wellbeing Champions and access to mindfulness resources including the Headspace app
- Enhanced parental leave
- Honeymoon leave - newlyweds get an extra week of annual leave
- We like to surprise and delight you with lovely thoughtful gifts including Naked Wine and lots more...
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
demand forecasting modelsstatistical forecasting techniquestime-series modelsregression methodsmachine learningseasonality analysistrend analysisforecast evaluationPythonSQL
Soft skills
collaborationcommunicationanalytical thinkingproblem-solvingdecision-makingadaptabilityattention to detailevidence-based insightsstakeholder engagementpragmatic thinking