Data Scientist – Remote | EatClub

Join the Food Tech Revolution at EatClub!About UsEatClub is a fast-growing food-tech SaaS company with big global ambitions, co-founded by legendary chef Marco Pierre White and leading industry innovators.We’re on a mission to revolutionise the hospitality industry — helping restaurants boost profitability through smart, data-driven dynamic pricing.Our platform connects over 2 million customers with thousands of top restaurants, offering real-time deals that can save diners up to 50% off their bill.With thousands of venues powered by EatClub across Australia and the recent launch in the UK, this is your chance to join a company transforming how people dine out — through the power of data.Read about us in the AFR: https://www.afr.com/technology/aussie-restaurant-app-with-backing-of-michelin-star-chef-secures-18m-in-funding-20250514-p5lyzyRead more about us in Broadsheet: https://www.broadsheet.com.au/national/food-and-drink/article/marco-pierre-white-his-new-app-revolutionise-restaurant-diningWhy You’ll Love Working HereEveryone contributes: Your insights and models will directly shape key product and pricing decisions.Create big impact: Your work will power smarter pricing, better restaurant performance, and an enhanced diner experience.Remote-first culture: We’re outcomes-focused. Work from anywhere in Australia with full flexibility.Startup speed, real ownership: You’ll experiment fast, iterate quickly, and see your models drive real results.Inclusive + diverse: We know the best ideas come from diverse minds and experiences.Work with exceptional talent: Collaborate with world-class product, engineering, and commercial teams solving complex problems in real time.Supportive, fun-loving team: We work hard, celebrate wins, and always make time for good food.The RoleWe’re looking for a Data Scientist who’s passionate about leveraging data to drive smarter business decisions, optimise dynamic pricing, and elevate the way restaurants connect with diners.You’ll work cross-functionally with Product, Engineering, and Growth teams to build predictive models, analyse behavioural data, and uncover actionable insights that fuel EatClub’s platform and growth strategy.What You’ll DoDesign, build, and maintain predictive models that power real-time pricing and personalised user experiences.Analyse large-scale datasets across restaurant performance, customer behaviour, and market trends.Partner with Engineering to integrate models into production and monitor performance.Build dashboards and visualisations to track key business metrics and model accuracy.Design and evaluate A/B tests to validate hypotheses and improve platform performance.Translate complex data findings into clear, actionable insights for business and product stakeholders.What You’ll BringStrong proficiency in Python (Pandas, NumPy, Scikit-learn, or PyTorch) and SQL.Have worked with AWS (S3, Redshift, Athena, Lambda) or similar cloud data stacks.Experience with machine learning, data modelling, and statistical analysis.Strong understanding of data pipelines, ETL, and data visualisation (Tableau, Power BI, or similar).Solid problem-solving ability and analytical mindset.Excellent communication and data storytelling skills — you can turn insights into business impact.Bonus Points If You Have experience in SaaS, hospitality, or food-tech.Have worked with AWS (S3, Redshift, Athena, Lambda) or similar cloud data stacks.Are comfortable with A/B testing frameworks and experimentation design.Love food, restaurants, and dining out — and want to shape the future of the dining experience.QualificationsDegree in Data Science, Computer Science, Statistics, or a related field. 3–5 years of hands-on experience as a Data Scientist or Machine Learning Engineer. Full working rights in Australia.This is a remote role open to candidates based anywhere in Australia.Hungry Yet?If you’re looking for a role where you can apply data to real-world problems, see your work make an immediate impact, and collaborate with a team that’s changing how the world eats — we’d love to hear from you.Apply now, and help us build something extraordinary — one dataset, one model, one meal at a time.