Data Scientist in London

In a nutshell, we’re all about making the world of wine a better place. We fund and source directly from independent winemakers to bring customers better quality wine for a better price. No thirsty middlemen as far as the eye can see. It’s a different way of doing things, sure. But it works. We’re one of the UK’s favourite wine clubs, shipping over 1 million cases a year to curious wine lovers. And with an ambitious road ahead, we’ve got no plans on plugging the cork on growth.

Our global team (we have offices in the US and Australia, too) is entrepreneurial by nature, obsessive about customer experience and driven by performance. All things that make Naked a great place to grow both personally and professionally. And yes, we like wine. A lot.

It takes a village to be Naked and now we’re looking for a Data Scientist to support and develop our demand forecasting capability across our product portfolio. You’ll work alongside experienced colleagues to build, maintain, and improve forecasting models that inform planning, commercial decisions, and S&OP processes within a D2C ecommerce environment. This role is suited to someone with strong statistical foundations who is looking to deepen their experience in demand forecasting and applied machine learning.

Location & Flexible Working – London Office/Hybrid.

What you’ll do

• 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.

What you’ll bring

• Either: 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.
• 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.

You have our Naked behaviours

• Ambition (dream big): Carrying out plans effectively and actively seeking opportunities to learn.
• Judgement (make good decisions): Testing ideas and learning from outcomes; surfacing risks early.
• Discipline (adhere to high standards): Planning well and delivering high-quality work consistently and efficiently.
• Influence (have a big impact): Collaborating across teams and seeking input to widen expertise.
• Accountability (take full responsibility): Sharing honest updates and taking responsibility for outcomes.

Finally, you live by our Naked values

• You support all stakeholders from the Winemaker, through to the Customer. We are Naked Together.
• You embrace growth, pushing yourself out of your comfort zone to overcome obstacles.
• You always start with our customers and winemakers.
• You keep it simple and are data-led, from the wine itself to the ways of working.
• You do the right thing, holding yourself accountable with honesty and openness.

Recruitment Process

• First Interview > Task & Task Presentation > Final Interview.

Perks & Benefits

• A competitive salary of £40-50k pa (depending on location) plus annual bonus opportunity.
• 26 days holiday.