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.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- 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.
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.
- Technical Execution & Innovation
- 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.
- Data Engineering & Architecture
- 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.
- Analytical & Commercial Skills
- 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.
- Communication & Soft Skills
- 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
As a Legal Director at Protect Group in our vibrant Leeds office, you will be part of a dynamic team that values collaboration and innovation. We offer a competitive salary, a supportive work culture that prioritises employee well-being, and ample opportunities for professional growth within the legal field. Join us to make a meaningful impact while enjoying the unique advantages of working in a thriving city known for its rich history and modern amenities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist – Partnership Optimisation in Leeds
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We think you need these skills to ace Data Scientist – Partnership Optimisation in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Protect Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Protect Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Protect Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Protect Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
