At a Glance
- Tasks: Deliver advanced analytics and decision science solutions to drive commercial success.
- Company: Join a forward-thinking company focused on strategic partnerships and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
- Why this job: Make an impact with data-driven insights and shape the future of partnerships.
- Qualifications: 3-5+ years in data science; strong SQL, Python or R skills required.
The predicted salary is between 55000 - 70000 £ per year.
The Data Scientist III is a senior individual contributor responsible for delivering advanced analytics, experimentation, and decision science solutions in support of SPA’s commercial objectives. This role focuses on advanced reporting and dashboarding, statistical analysis and experimentation, partner and client performance analysis, leadership decision support, and decision science tooling. It is expected to work independently on complex, well-defined problems and influence decisions through high-quality insights.
Responsibilities
- Advanced Reporting & Analytics: Design, develop, and maintain advanced dashboards and performance reporting used by commercial, finance, and leadership stakeholders. Ensure outputs are accurate, scalable, and aligned with KPIs. Proactively identify improvements in reporting structure, clarity, and usability.
- Experimentation & Statistical Testing: Design and analyze commercial experiments, including A/B tests, incrementality tests, and quasi-experimental analyses. Apply appropriate statistical methods and clearly document methodology, results, and implications.
- Commercial & Partner Performance Analysis: Perform in-depth analyses of partner and client performance to identify drivers of growth and risks. Surface trends and actionable insights for leadership; collaborate with commercial and finance partners to interpret results.
- Decision Support & Investment Analytics: Deliver analytical insights for prioritization and investment decisions. Build scenario analyses, forecasts, and decision frameworks; support leadership discussions with data-driven recommendations.
- Decision Science Tooling & Automation: Build and maintain tools, models, and reusable analytical assets. Contribute to AI-powered workflows and automations; identify repeatable processes to standardize or automate.
Qualifications
- Experience: Typically 3–5+ years in data science, analytics, or related quantitative role. Bachelor’s degree in a quantitative field; Master’s degree a plus. Ecommerce/marketing/partner analytics experience preferred.
- Technical & Analytical Skills: Advanced SQL on large multi-source datasets; strong statistics, experimentation, causal analysis; proficiency in Python or R; experience with data engineering, visualization, and dashboarding tools (e.g., Databricks, Tableau, Power BI).
- Business & Communication Skills: Ability to translate analysis into commercial insights; communicate clearly to non-technical audiences; engage with senior stakeholders using data-driven narratives; willingness to adopt new tools and automate to speed insights.
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Data Scientist III – Strategic Partnerships & Affiliates in London employer: 11310 Expedia.com Ltd.
As a leading employer in the data science field, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a culture that values diverse perspectives, making it an ideal place for professionals looking to make a significant impact in strategic partnerships and analytics. Located in a vibrant area, our team enjoys not only competitive benefits but also a supportive atmosphere that encourages creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist III – Strategic Partnerships & Affiliates in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 common data science questions and case studies. We recommend simulating real interview scenarios with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills through a portfolio! Create a GitHub repository or a personal website where you can display your projects, dashboards, and analyses. This gives potential employers a taste of what you can do.
✨Tip Number 4
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 team at StudySmarter.
We think you need these skills to ace Data Scientist III – Strategic Partnerships & Affiliates in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data science and analytics. We want to see how your skills align with the role, so don’t be shy about showcasing your advanced SQL, Python, or R expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our commercial objectives. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any cool projects or experiments, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to A/B testing or performance analysis.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at 11310 Expedia.com Ltd.
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like SQL, Python, and data visualisation platforms. Be ready to discuss your experience with these tools and how you've used them to solve complex problems.
✨Showcase Your Analytical Skills
Prepare to share specific examples of past projects where you designed experiments or performed statistical analyses. Highlight how your insights influenced business decisions, especially in a commercial context.
✨Communicate Clearly
Practice explaining your analytical findings in simple terms. You’ll need to engage with non-technical stakeholders, so being able to translate complex data into actionable insights is key. Think about how you can tell a compelling story with your data.
✨Be Ready for Scenario Questions
Expect questions that ask you to analyse hypothetical situations or datasets. Prepare to walk through your thought process on how you would approach decision-making and investment analytics based on given data.
