At a Glance
- Tasks: Maximise partnership value using data-driven strategies and innovative solutions.
- Company: Join Protect Group, a global tech leader transforming customer experiences with AI.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Work with cutting-edge technology and make a real impact across various sectors.
- Why this job: Shape the future of partnerships in a rapidly scaling tech company.
- Qualifications: Experience in data science, commercial strategy, and strong analytical skills.
The predicted salary is between 60000 - 80000 £ per year.
Contract: Full-time
About Protect Group
Protect Group, established in 2016, is an innovative global technology leader enhancing customer experiences and revenue opportunities for businesses through AI-driven solutions. With over 400 partners across 75+ countries, we provide an intuitive widget that seamlessly integrates with online sales platforms, dramatically improving customer satisfaction and boosting ancillary revenue through our core Refund Protection product. Our culture is defined by ambition, innovation, and excellence.
Role Overview
We are seeking a commercially-minded Data Scientist to act as a strategic lead for our Partnership teams. In this pivotal role, you will function as a Partnership Optimiser, tasked with maximising the value and performance of our external partnerships. You will bridge the gap between complex data and commercial strategy, working directly with external stakeholders (OTAs, event platforms, hospitality providers) and internal partnership managers. You will build scalable solutions, drive A/B testing, and deploy web applications that empower non-technical teams to make data-driven decisions.
Key Responsibilities
- Strategic Partnership Optimisation Strategy Lead: Act as the analytical lead for the partnerships team, using large, complex datasets to define strategies that maximise revenue and conversion rates for our products.
- External Engagement: Present complex analytical findings and commercial models directly to external stakeholders and C-suite, articulating value clearly and effectively.
- Pipeline Management: Oversee the end-to-end data lifecycle within Azure, ensuring robust MLOps practices.
Required Skills
You will directly shape the commercial success of our partners in a wide range of sectors. Work at the cutting edge, utilising Gen AI and building custom Web Apps that drive business operations.
Growth
Join a rapidly scaling tech company revolutionising global industries with a talented team dedicated to continuous improvement.
Ready to Join Us?
If you are a Data Scientist with the mindset of a commercial strategist and the skills of an engineer, we want to hear from you! Submit your CV today.
Data Scientist – Partnership Optimisation employer: Protect Group
Protect Group is an exceptional employer that fosters a culture of ambition, innovation, and excellence, making it an ideal place for Data Scientists looking to make a significant impact. With opportunities for professional growth in a rapidly scaling tech environment, employees benefit from working with cutting-edge AI solutions while engaging directly with global partners across diverse sectors. The collaborative atmosphere encourages continuous improvement and empowers team members to drive meaningful change in customer experiences and revenue optimisation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist – Partnership Optimisation
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to Protect Group. Attend events, webinars, or even casual meet-ups to make those valuable connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to partnership optimisation. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Prepare for interviews by practising how to present complex data findings clearly. Remember, you’ll need to articulate your insights to non-technical stakeholders, so keep it simple and impactful!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about joining our innovative team.
We think you need these skills to ace Data Scientist – Partnership Optimisation
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Scientist – Partnership Optimisation. Highlight your experience with data analysis, commercial strategy, and any relevant projects that showcase your ability to drive revenue and conversion rates.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work where you’ve successfully used large datasets to influence business decisions or improve processes. This will help us see how you can add value to our team.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you’re excited about the role and how your background aligns with our mission at Protect Group. Be sure to mention your passion for innovation and how you can contribute to our culture.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Protect Group
✨Know Your Data Inside Out
As a Data Scientist, you'll be dealing with complex datasets. Make sure you understand the data you'll be working with at Protect Group. Familiarise yourself with their products and how data drives their partnership strategies. This will help you articulate your insights during the interview.
✨Showcase Your Commercial Mindset
Protect Group is looking for someone who can bridge data and commercial strategy. Prepare examples of how you've used data to drive business decisions in previous roles. Highlight any experience with A/B testing or presenting findings to stakeholders, as this will demonstrate your ability to add value.
✨Prepare for Technical Questions
Expect questions about data engineering and MLOps practices, especially related to Azure. Brush up on your technical skills and be ready to discuss your experience with data ingestion, cleaning, and structuring. Being able to talk through your process will show your expertise.
✨Engage with Their Culture
Protect Group values ambition, innovation, and excellence. During the interview, express how these values resonate with you. Share your passion for continuous improvement and innovation in data science, and how you can contribute to their mission of enhancing customer experiences.
