Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Maximise partnership value through data analysis and innovative solutions.
- Company: Join Protect Group, a global tech leader transforming customer experiences.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Shape commercial success with cutting-edge AI and impactful data strategies.
- Qualifications: Degree in STEM and strong skills in Python, SQL, and data engineering.
- Other info: Dynamic environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Location: Leeds (Hybrid)
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.
- Hypothesis & A/B Testing: Design and execute rigorous A/B tests and hypothesis testing frameworks to optimise pricing, placement, and UI/UX within partner booking flows.
- Commercial Modelling: Develop sophisticated commercial models to forecast demand, price elasticity, and revenue impact across diverse sectors.
- Tool Development: Build and deploy interactive Web Apps and dashboards (e.g., Streamlit, Dash, Tableau) and toolkits to automate data access and reporting, driving the adoption of technical solutions across internal partnership teams.
- Generative AI: Leverage Gen AI to automate insights generation and enhance partner reporting capabilities.
- Scalable Solutions: Establish scalable data solutions and pipelines; you will be responsible for strong data engineering tasks to ingest, clean, and structure data from varied sources.
- Pipeline Management: Oversee the end-to-end data lifecycle within Azure, ensuring robust MLOps practices.
Required Skills & Experience
- Education & Technical Foundations
- Degree: Bachelor’s or Master’s degree in STEM, Computer Science, Mathematics, Statistics, or a related quantitative field.
- Scientific Python Ecosystem: Proficiency in Python for data science (pandas, numpy, scipy) and machine learning (sklearn, XGBoost, CatBoost, PyTorch).
- Data Engineering: Strong experience in SQL and data engineering principles (ETL/ELT), with the ability to handle large, complex datasets independently.
- Collaboration: Proficient in Git and comfortable working with Excel for stakeholder data exchange.
- Cloud & MLOps: Hands-on experience with Azure, MLOps pipelines, and API frameworks.
- Experimentation: Deep understanding of statistical methods, specifically A/B testing, hypothesis testing, and probability theory.
- Web App Development: Proven ability to build internal tools and web applications to visualise data and run simulations.
- Revenue Optimisation: Experience in pricing optimisation, elasticity modelling, and commercial strategy.
- Generative AI: Familiarity with LLMs and Gen AI applications in a business context.
- Stakeholder Management: Strong communication skills with experience presenting to external partners and stakeholders.
- Translation: The ability to translate complex technical analysis into interpretable, clear, and actionable commercial insights.
- Adoption Driver: A proactive approach to training and encouraging non-technical teams to adopt data-driven toolkits.
Why Protect Group?
- Impact: You won’t just analyse data; you will directly shape the commercial success of our partners in a wide range of sectors.
- Innovation: 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 in Leeds employer: Protect Group
Contact Detail:
Protect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Partnership Optimisation in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. Be ready to discuss your past projects and how they relate to the role of a Data Scientist in Partnership Optimisation. Make it engaging and relevant!
✨Tip Number 3
Showcase your skills through a portfolio. Create a few projects that highlight your data science capabilities, especially those related to commercial strategy and A/B testing. This will give you an edge over other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our innovative team at Protect Group.
We think you need these skills to ace Data Scientist – Partnership Optimisation in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your experience with data engineering, A/B testing, and any relevant projects that showcase your ability to optimise partnerships.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about partnership optimisation and how your background makes you a great fit. Be sure to mention specific examples of how you've used data to drive commercial success in previous roles.
Showcase Your Technical Skills: Don’t forget to highlight your proficiency in Python, SQL, and any experience with cloud platforms like Azure. We want to see how you can leverage these skills to build scalable solutions and enhance our partnership strategies.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Protect Group!
How to prepare for a job interview at Protect Group
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of Python, SQL, and the scientific libraries mentioned in the job description. Be ready to discuss how you've used these tools in past projects, especially in relation to A/B testing and data optimisation.
✨Showcase Your Communication Skills
Since you'll be presenting complex findings to external stakeholders, practice explaining your past projects in simple terms. Think about how you can translate technical jargon into actionable insights that anyone can understand.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or optimise a partnership scenario. Prepare examples from your experience where you successfully maximised revenue or improved conversion rates using data-driven strategies.
✨Demonstrate Your Innovative Mindset
Protect Group values innovation, so come prepared with ideas on how you could leverage generative AI or build web applications to enhance their offerings. Show them you're not just a data scientist but a strategic thinker who can drive change.