Data Scientist

Data Scientist

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement price optimisation algorithms to boost revenue for hospitality businesses.
  • Company: Openr is a pioneering SaaS platform revolutionising data management in the hospitality industry.
  • Benefits: Enjoy a hybrid work model, autonomy in your role, and be part of an innovative team.
  • Why this job: Shape the future of pricing strategies while working in a collaborative and inclusive environment.
  • Qualifications: Bachelor’s or Master’s in Data Science or related field; strong programming skills required.
  • Other info: Join us as our first data science hire and make a significant impact on our growth!

The predicted salary is between 43200 - 72000 £ per year.

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 & cafes to thrive and grow.What You\’ll Do As a Data Scientist at Openr, you will play a pivotal role in designing, developing, and implementing price modelling & price optimisation algorithms that maximise revenue for our customers. You will work closely with cross-functional teams, including product, engineering, sales & customer success, to enable data-driven pricing strategies for our customers.You will: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 behavior 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.What We\’re Looking For We are looking for an individual who fits right in, and has integrity in their approach. We are looking for a collaborator, someone with a low ego who will contribute to our positive culture and be comfortable working across all functions.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 toolsExperience with machine learning frameworks and optimisation techniques.Solid understanding & experience of pricing strategies, demand modeling, 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 AWSKnowledge of statistical modeling and time-series forecasting.What Success Looks Like Impactful Pricing Optimisation Capability: Implementation of pricing algorithms that enable our customers to sustainably grow their revenue through price optimisation without requiring their own data science capability.Customer Trust: Building trust in customers to use machine learning and data science in their pricing decisions as a matter of course.Algorithm Performance: Delivery of scalable, high-performance pricing models that are responsive to real-time data and adapt seamlessly to changes in market dynamics.Collaboration and Influence: Building strong partnerships with product, engineering, sales & customer success teams, and effectively communicating data science recommendations to influence strategic decisions.Continuous Improvement: Demonstrating a commitment to experimentation, learning, and iterative improvement, ensuring pricing models remain cutting-edge and competitive.Customer and Stakeholder Satisfaction: Enhanced customer experience and satisfaction through fair and optimised pricing, coupled with stakeholder trust in the reliability of the pricing systems.This role will be a critical contributor to Openr\’s growth trajectory, directly influencing the company\’s ability to deliver value through intelligent and innovative pricing solutions.Why Join Openr? We are at the start of our journey, with an exceptional product that will change the way operators control their pricing across all customer touchpoints.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 OpenrInnovative 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 employeesHybrid Role: At least 2 days/week in our London officeIf 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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Data Scientist employer: Openr

Openr is an exceptional employer that offers a dynamic and innovative work culture, where you can make a significant impact as a Data Scientist in the thriving hospitality tech sector. With a strong focus on employee growth and collaboration, you'll have the autonomy to shape data science practices while working alongside a passionate team in a hybrid environment in London. Join us to be part of a transformative journey backed by substantial funding, where your contributions will directly influence our success and the future of pricing strategies in hospitality.
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Contact Detail:

Openr Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist

✨Tip Number 1

Familiarise yourself with the hospitality industry and its specific pricing challenges. Understanding the nuances of how restaurants, pubs, and cafes operate will help you tailor your approach and demonstrate your knowledge during interviews.

✨Tip Number 2

Showcase your experience with price optimisation systems by preparing case studies or examples of past projects. Be ready to discuss how your contributions led to measurable improvements in revenue or customer satisfaction.

✨Tip Number 3

Network with professionals in the data science and hospitality sectors. Attend relevant meetups or webinars to connect with potential colleagues and gain insights into current trends and challenges in pricing strategies.

✨Tip Number 4

Prepare to discuss your programming skills in Python or R, particularly in relation to machine learning frameworks. Be ready to explain how you've used these tools to solve complex problems or optimise pricing models in previous roles.

We think you need these skills to ace Data Scientist

Advanced Price Modelling
Price Optimisation Algorithms
Data Analysis
Predictive Modelling
Machine Learning Frameworks
Statistical Modelling
Time-Series Forecasting
Programming Skills in Python or R
Data Manipulation Tools
Demand Modelling
Elasticity Analysis
Problem-Solving Skills
Excellent Communication Skills
Collaboration with Cross-Functional Teams
Experience in E-commerce or SaaS
Familiarity with AWS

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in price optimisation and modelling. Use specific examples that demonstrate your skills in Python, R, or similar programming languages.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the hospitality industry and your understanding of how data science can drive pricing strategies. Mention any previous experience with SaaS platforms or e-commerce to strengthen your application.

Showcase Your Technical Skills: In your application, emphasise your proficiency in data manipulation, machine learning frameworks, and statistical modelling. Provide examples of projects where you've successfully implemented these skills.

Highlight Collaboration Experience: Since the role involves working closely with cross-functional teams, include examples of past collaborations. Describe how you communicated complex data concepts to non-technical stakeholders and contributed to team success.

How to prepare for a job interview at Openr

✨Showcase Your Technical Skills

Be prepared to discuss your programming skills in Python, R, or similar languages. Bring examples of past projects where you implemented price optimisation algorithms or predictive models, as this will demonstrate your hands-on experience.

✨Understand the Hospitality Sector

Research the hospitality industry and its pricing strategies. Familiarise yourself with common challenges faced by restaurants, pubs, and cafes regarding pricing, so you can speak knowledgeably about how your work can directly impact their revenue.

✨Prepare for Collaboration Questions

Since the role involves working closely with cross-functional teams, be ready to share examples of how you've successfully collaborated with others in previous roles. Highlight your ability to communicate complex data concepts to non-technical stakeholders.

✨Demonstrate a Growth Mindset

Show your commitment to continuous improvement by discussing how you've iterated on past projects based on feedback or new insights. This aligns with Openr's focus on experimentation and learning, which is crucial for the role.

Data Scientist
Openr
Location: London

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