Data Scientist

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Openr is a SaaS platform that transforms how the hospitality industry manages and shares data. By centralising & mastering all recipe, product and pricing in a single platform, we enable hospitality businesses to seamlessly publish consistent & accurate data across all their platforms in real time, including delivery channels, EPOS and other customer touchpoints.

We’ve already achieved significant ARR, closed a £3m fundraise, and are backed by Azzurri Group, one of the UK’s most successful hospitality investment platforms. With an exciting roadmap to deliver, we’re looking for a Data Scientist to help us build price modelling & optimisation for the hospitality sector, enabling brilliant restaurants, pubs, bars & cafés to thrive and grow.

London (Hybrid, 2 days/week)

Type: Full-time

Level: Senior, Mid

• 
  
• Develop, implement, and maintain advanced price modelling & price optimisation algorithms.
  
• Analyse historical and real‑time data to identify pricing opportunities and challenges.
  
• Build predictive models to forecast customer behaviour and demand elasticity.
  
• Collaborate with engineering teams to integrate algorithms into production systems.
  
• Monitor and refine pricing models based on real‑world performance and feedback.
  
• Enable Openr customers to conduct A/B testing and scenario simulations using our platform to evaluate the impact of pricing strategies.
  
• Conduct research with customers & stakeholders and present insights and recommendations in a clear and actionable manner.
  
• Train & upskill your peers, sharing best practice and learnings with the wider team.
  

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• Previous experience in implementing large-scale price optimisation systems.
  
• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related field.
  
• Strong programming skills in Python, R, or a similar language.
  
• Proficiency in data manipulation and analysis tools.
  
• Experience with machine learning frameworks and optimisation techniques.
  
• Solid understanding & experience of pricing strategies, demand modelling, and elasticity.
  
• Strong problem‑solving skills and ability to work with complex datasets.
  
• Excellent communication skills and ability to convey technical concepts to non‑technical stakeholders.
  
• Experience in e‑commerce, SaaS, or a related industry.
  
• Familiarity & experience with AWS.
  
• Knowledge of statistical modelling and time‑series forecasting.
  

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• Implementation of pricing algorithms that enable our customers to sustainably grow their revenue through price optimisation without requiring their own data science capability.
  
• Building trust in customers to use machine learning and data science in their pricing decisions as a matter of course.
  
• Delivery of scalable, high‑performance pricing models that are responsive to real‑time data and adapt seamlessly to changes in market dynamics.
  
• Building strong partnerships with product, engineering, sales & customer success teams, and effectively communicating data science recommendations to influence strategic decisions.
  
• Demonstrating a commitment to experimentation, learning, and iterative improvement, ensuring pricing models remain cutting‑edge and competitive.
  
• Enhanced customer experience and satisfaction through fair and optimised pricing, coupled with stakeholder trust in the reliability of the pricing systems.
  

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• Market traction: Backed by Azzurri Group, we recently raised £3m in funding.
  
• High impact: As our first data science hire, you’ll shape Openr’s growth strategy and success.
  
• Autonomy & ownership: You will have freedom to recommend systems, build processes, and set the standard for data science at Openr.
  
• Innovative culture: Join an engaged, open, and hard‑working team at the forefront of hospitality tech.
  
• Inclusive environment: Join an inclusive culture that welcomes and values all employees.
  

Hybrid Role: At least 2 days/week in our London office.

If you’re an ambitious data scientist ready to take ownership, deliver growth, and lay the foundations for a platform that we believe will truly transform the hospitality sector, we’d love to hear from you!

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