BI Data Scientist Machine Learning Engineer

Who are WebBeds

WebBeds is the fastest growing and most significant accommodation supplier to the travel industry. We are a global company offering ground services (hotels transfers tours activities) to travel professionals. Our products help our partners and customers create memorable travel experiences.

Our Products range from a Retail Online platform Integration Connectivity hub and distribution APIs to name but a few and our systems are 100% cloud hosted processing up to 4.5bn search requests daily. We deliver amazing outcomes using leading edge technology through innovative and creative thinking.

WebBeds is a subsidiary of Web Travel Group (ASX: WEB) an ASX 200 listed company operating a global digital travel business.

What makes us stand out

• We are a wholesale global travel organisation
• We have 1500 people speaking 50 languages in 120 cites across 50 countries
• We partner with over 400000 properties in more than 14000 destinations
• We work with more than 44000 travel companies in 145 source markets
• We have an amazing Business Intelligence team focused on delivering valuable outcomes using innovative tech and creative & lateral thinking.

How will you make an impact at WebBeds

We are seeking a skilled Data Scientist/ML Engineer to transform data into strategic insights and deploy scalable ML solutions that drive business decisions innovation and performance enhancements. This role is central to enhancing the predictive analytics functions within our BI department expanding beyond descriptive analytics to include forecasting advanced modelling and actionable insights that fuel growth and efficiency across the organisation.

This role will manage and analyse complex datasets ensuring data integrity uncovering trends and providing data-driven recommendations to support business objectives. Youll collaborate across data and commercial teams to meet data needs efficiently while setting a new standard for data insights.

Key elements to the role include:

• Develop test and deploy predictive models and machine learning algorithms to drive deeper insights across the organisation
• Analyse and synthesise large datasets using advanced data science techniques to create cohesive practical insights that can drive the companys strategic initiatives
• Address unstructured complex business problems through advanced analytics and share strategic suggestions to improve data decisions for the business
• Work on data modelling metric development prototyping of predictive models and analytics solutions to identify growth and revenue optimisation opportunities
• Implement solutions via Power BI dashboards that not only report on past trends but also visualise predictive insights uncover hidden patterns and provide actionable recommendations for the business
• Deeply understand business objectives by engaging users and stakeholders to design analytics solutions that meet strategic goals; communicate with stakeholders proactively throughout the project to gather input keep them updated on deadlines and coordinate with other teams
• Act as a subject matter expert on machine learning techniques including large language models (LLM)
• Identify evaluate and implement process improvements to enhance data capabilities and contribute to an evolving data culture

The skills we would love to see in your suitcase!

• 3 years experience in building deploying and maintaining ML models. Background in machine learning (supervised and unsupervised learning LLMs) and predictive analytics to drive projects from concept to production
• Knowledge of machine learning techniques such as regression classification clustering and experience with Big Data solutions
• Ability to write production ready Python code for deployment of ML algorithms
• Experience with ML libraries like scikit-learn XGBoost PyTorch Keras/Tensor Flow
• Experience with data wrangling and Big Data libraries such as PySpark Pandas Numpy
• Proficiency in SQL for data extraction manipulation and modelling
• Hands-on experience with data mining data modelling and segmentation techniques both supervised and unsupervised learning
• Demonstrated ability to tackle ambiguous open-ended problems using analytics to uncover trends and make informed business recommendations with attention to detail and accuracy
• Degree in Mathematics Economics Computer Science Information Management Statistics or similar relevant field
• (Desirable) Good communication skills - ability to explain analytics concepts to non-technical stakeholders; skilled in presenting insights and recommendations to drive buy-in and alignment with business goals
• Desirable) Hands-on experience in cloud-based data platforms (Azure AWS) for data processing and model deployment
• (Desirable) Hands-on experience with MLOps tools such as MLflow for model lifecycle management
• (Desirable) LLM familiarity transformer architectures pre-training/fine tuning prompt engineering techniques RAGs LLM integration via APIs and Agentic workflow

The successful applicant will be an innovative self-driven person with high levels of integrity. They will be working closely with remote teams and therefore need to be highly communicative but also work well independently. They must be well organised and able to handle multiple projects simultaneously.

Why choose us as your next destination
We are super proud of our dedicated team of friendly energetic & passionate professionals. Our people are key to the success of our business & everybody at WebBeds has their own unique role to play as we continue to drive the company forward.

Over 50 different languages are spoken by our workforce but whether working from offices in Dubai or London or out in the field in Johannesburg or Buenos Aires we all share the common goal to take pride in what we do & to deliver our partners with unbeatable service & support.

• International highly skilled group of experts from all around the globe
• Dynamic environment with the chance to grow influence & impact change
• Disruptive fast-growing market leader within travel & endless possibilities
• Culture built on collaboration empowerment and innovation