Dish'd is the UK's fastest-growing franchisor of virtual food brands. We partner with food operators to help them maximise their kitchen capacity by launching and scaling delivery-only brands across the UK.

We're looking for a commercially minded Data Scientist to design and build predictive models that directly shape expansion, pricing, and operational decisions across a fast-growing, multi-brand food platform. This is not a reporting role. This is a modelling role.

You will build forecasting systems from scratch, own experimentation frameworks, and influence real commercial strategy — from new site openings to pricing optimisation and franchise performance.

The Role

Forecasting & Predictive Modelling (Core Focus)

You will design and deploy predictive models that directly support growth and profitability, including:

Sales forecasting models for new site openings, brand placement, and territory expansion
Demand forecasting at brand, location, and time-of-day level
Pricing optimisation models to simulate revenue and margin impact
Churn prediction models to identify at-risk franchise partners
Customer lifetime value (CLV) and territory saturation analysis
Inventory and cost optimisation modelling

You'll continuously refine and retrain models as new data becomes available, ensuring accuracy and commercial relevance over time.

Experimentation & Statistical Analysis

You will own our experimentation framework, including:

Designing A/B and multivariate testing for menus, pricing, and marketing
Geo-based experimentation across territories
Rigorous statistical evaluation of test results
Clear communication of findings with actionable recommendations

Automation & Operational Analytics

Build automated monitoring and anomaly detection systems
Integrate model outputs into dashboards and reporting workflows
Support development of data pipelines feeding model inputs
Evaluate and recommend AI-powered tools to improve forecasting accuracy

Collaboration & Commercial Impact

You'll work closely with the Data Lead and Data Engineer to ensure models are built on clean, reliable warehouse data. You'll also partner with Operations, Marketing, and Finance to translate business challenges into modelling opportunities — and communicate complex outputs in a clear, compelling way.

Your work will feed directly into commercial strategy and board-level reporting.

What We're Looking For

Essential

3–5 years hands-on experience in applied data science or predictive analytics
Proven experience building forecasting models from scratch in a commercial environment
Strong Python skills (pandas, NumPy, scikit-learn, statsmodels, Prophet/NeuralProphet or similar)
Deep experience in time series forecasting (ARIMA, SARIMA, Prophet, exponential smoothing, gradient boosting approaches)
Experience building regression, classification, and clustering models
Strong statistical foundation (hypothesis testing, A/B testing, confidence intervals, causal inference)
Solid SQL skills
Experience taking models from prototype to production (validation, monitoring, iteration)
Excellent communication skills — able to translate complex outputs for non-technical stakeholders
Fluency in spoken and written English (IELTS Level 8 / Cambridge C2 equivalent)
Highly organised, detail-oriented, and self-motivated

Desirable

Experience with Power BI or similar BI tools
Familiarity with workflow automation tools (Airflow, n8n, etc.)
Cloud deployment experience (Azure, GCP, AWS)
NLP / sentiment analysis experience
Background in food delivery, QSR, logistics, or other fast-moving industries
Google Apps Script / Sheets automation
Git and collaborative development workflows

Why Join Us

High commercial impact — your models will shape real expansion decisions
Direct exposure to strategic planning and senior leadership
Opportunity to build forecasting capability from the ground up
Clear pathway to Lead Data Scientist as the team scales
Fast-paced, high-growth environment where data drives decisions

HRIS Analyst 2

Applied Data Scientist

Microsoft Dynamics 365 Sales Manager

d365-fo-technical-lead

Microsoft Dynmics 365 CRM Technical Developer