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- Tasks: Lead the development of an AI-powered pricing solution and optimise pricing strategies.
- Company: Join BookFlowGo, a leader in innovative tech solutions within the Holiday Extras Group.
- Benefits: Enjoy remote work, generous leave, health benefits, profit sharing, and discounts.
- Why this job: Be at the forefront of AI innovation while making a real impact on business success.
- Qualifications: Masters or PhD in relevant fields with experience in AI, data science, and pricing.
- Other info: Flexible working options available, including job-share opportunities.
The predicted salary is between 74000 - 86000 £ per year.
We care deeply about inclusive working practices and diverse teams. If you prefer to work as a job-share, we will facilitate this wherever we can - whether to help you meet other commitments or to help you strike a great work-life balance.
About
We are looking for a Lead Architect who can lead the review, development, and implementation of a cutting-edge AI-powered pricing solution. You will spearhead the creation of a new function focused on leveraging artificial intelligence and machine learning techniques to adopt dynamic pricing models that adapt to real-time conditions. This is a unique opportunity to own a high-impact product that sits at the heart of our commercial success across a growing portfolio. You will define the vision, build the team, and deliver a solution that leverages real-time data, predictive modelling, and machine learning to optimise pricing decisions at scale.
The Role
By joining our team you will:
- Develop a comprehensive roadmap for a sophisticated, real-time pricing and forecasting solution
- Collaborate closely with stakeholders to align pricing models with business objectives
- Review and implement advanced mathematical models, optimisation algorithms, and machine learning techniques to predict demand, optimise pricing, and maximise revenue
- Leverage historical, geographic, economic, and market data to create a robust pricing strategy
- Coordinate with the group architecture team to ensure AI solutions are robust, explainable, and compliant with data security and privacy regulations
- Use AI to integrate real-time data feeds (competitor analysis, customer traffic, events, capacity) into pricing algorithms to dynamically adjust pricing
- Develop key metrics to evaluate the impact of pricing strategies and identify areas for improvement
- Stay ahead of emerging trends in AI and pricing, bringing innovation and cutting-edge thinking into everything we build
What you can bring to our team:
- A strong academic background (Masters or PhD) in Mathematics, Statistics, Computer Science, or a related field
- Experience in pricing, AI, data science, or algorithm design, with a track record of building and deploying real-time pricing or recommendation systems
- Deep technical knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch), cloud platforms (AWS, GCP, Azure), and big data tools (e.g., Spark, Hadoop)
- Experience designing and/or implementing business-critical operational algorithms
- Clear communication skills; experienced in communicating with senior stakeholders and translating complex technical solutions into business impact
- Excellent problem-solving and project management skills
- A strategic, commercially focused mindset with a passion for using data and AI to solve real-world problems at scale
- Experience with data structure design and implementation
Everyone's career path is individual and different, so this is just a guide. If your experience doesn’t precisely match this, you’re encouraged to apply so we can discover your unique talents!
How We Hire For This Role
We know your time is precious, so we keep our recruitment process as quick and easy as possible. If we believe you might be a match for a job you’ve applied for, you’ll enter our hiring process as follows:
- Short one-way video interview
- Video call with hiring team
- Final interview
We are committed to cultivating a diverse and inclusive culture. If you need us to adapt the process, please contact us at recruitment@holidayextras.com.
Why choose BookFlowGo & The Holiday Extras Group?
BookFlowGo is the collective brand bringing together three companies in the Holiday Extras Group: Book / Parkspace: the world’s leading pre-book, omni-channel platform; Flow / ParkIT: the world’s leading logistic operational software and consultancy services; Go / FGS: the leading manufacturer of bespoke self-service hardware. We offer a range of benefits to support your lifestyle and well-being, including generous leave, parental leave, health benefits, profit sharing, discounts, and more. Learn about our culture and benefits on our website.
Lead Architect - Dynamic Pricing employer: bookflowgo
Contact Detail:
bookflowgo Recruiting Team
recruitment@holidayextras.com
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Architect - Dynamic Pricing
✨Tip Number 1
Familiarise yourself with the latest trends in AI and dynamic pricing. Being able to discuss recent advancements or case studies during your interviews will demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the AI and pricing sectors. Attend relevant webinars or industry events to connect with potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 3
Prepare to showcase your problem-solving skills through real-world examples. Think of specific challenges you've faced in previous roles and how you used data-driven approaches to overcome them, as this aligns closely with the job requirements.
✨Tip Number 4
Research the company’s existing products and services. Understanding their current offerings and how a dynamic pricing model could enhance their business will help you articulate your vision and fit for the role during interviews.
We think you need these skills to ace Lead Architect - Dynamic Pricing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, pricing strategies, and machine learning. Use specific examples that demonstrate your ability to lead projects and collaborate with stakeholders.
Craft a Compelling Cover Letter: In your cover letter, express your passion for dynamic pricing and AI solutions. Discuss how your background aligns with the role and mention any innovative projects you've led that relate to the job description.
Showcase Technical Skills: Clearly outline your technical expertise in machine learning frameworks and big data tools. Provide examples of how you've applied these skills in previous roles to achieve business objectives.
Prepare for Interviews: Anticipate questions related to your experience with real-time pricing systems and your approach to problem-solving. Be ready to discuss how you would develop a roadmap for the pricing solution mentioned in the job description.
How to prepare for a job interview at bookflowgo
✨Showcase Your Technical Expertise
As a Lead Architect, you'll need to demonstrate your deep technical knowledge of machine learning frameworks and cloud platforms. Be prepared to discuss specific projects where you've successfully implemented these technologies, highlighting the impact on pricing strategies.
✨Communicate Clearly with Stakeholders
Since the role involves collaborating with various stakeholders, practice explaining complex technical concepts in simple terms. Prepare examples of how you've effectively communicated technical solutions to non-technical audiences in previous roles.
✨Prepare for Problem-Solving Scenarios
Expect to face problem-solving questions during the interview. Brush up on your analytical skills and be ready to walk through your thought process when tackling real-world pricing challenges, especially those involving AI and data science.
✨Demonstrate Your Strategic Mindset
The role requires a commercially focused mindset. Be ready to discuss how you've aligned technical projects with business objectives in the past. Highlight any experience you have in developing pricing strategies that have maximised revenue.
