Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data analysis for partner performance and commercial strategy in a collaborative environment.
- Company: Fast-growing AI SaaS scale-up with a people-first culture.
- Benefits: Competitive salary, hybrid work model, and opportunities for career growth.
- Other info: Join a dynamic team working with 400+ companies globally.
- Why this job: Make a real impact using AI to drive revenue and enhance customer experience.
- Qualifications: Experience in data science, A/B testing, and strong collaboration skills.
The predicted salary is between 60000 - 80000 £ per year.
Do you want to work with a business that partners with 400+ companies across 75+ countries, using AI to drive revenue and improve customer experience? A business founded in 2016 that’s scaling globally, working with leaders across Travel, Ticketing, Hospitality and OTAs, and genuinely investing in people early in their careers?
A people-first, high-performance environment where being commercially minded, personable, and easy to work with matters just as much as technical ability?
An opportunity to join a fast-growing AI SaaS scale‑up as a Data Scientist acting as the analytical lead for partner performance and commercial strategy. You’ll work together with Partnership Managers and external stakeholders, translating data into clear, actionable insights. This role is ideal for someone who enjoys collaboration and stakeholder interaction.
Joining a collaborative data team, you’ll focus on revenue, pricing, conversion and experimentation. You’ll design and run A/B tests, build commercial and pricing models, and create web apps and dashboards that enable non-technical teams to make data driven decisions. You’ll also play a key role in Gen AI initiatives, automating insights and improving partner reporting.
Data Scientist - Leeds (Hybrid) - AI / FinTech SaaS employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Leeds (Hybrid) - AI / FinTech SaaS
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and FinTech. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving A/B testing and commercial analytics. Share it during interviews or even on your LinkedIn profile to catch the eye of potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills, but also be ready to discuss how you can collaborate with Partnership Managers and stakeholders. Practice explaining complex data insights in simple terms – it’s all about making that connection!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Scientists like you. Plus, applying directly shows your enthusiasm and commitment to joining our awesome team!
We think you need these skills to ace Data Scientist - Leeds (Hybrid) - AI / FinTech SaaS
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 expertise in Python, A/B testing, and any relevant projects you've worked on in AI or FinTech.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can contribute to our mission. Mention specific examples of how you've used data to drive decisions or improve processes in previous roles.
Showcase Your Collaboration Skills: Since this role involves working closely with Partnership Managers and stakeholders, emphasise your teamwork and communication skills. Share examples of successful collaborations and how they led to actionable insights.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to see your application and get you into the process!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Data Science Stuff
Make sure you brush up on your Python skills and data science concepts. Be ready to discuss A/B testing, commercial analytics, and how you've used these in past projects. They’ll want to see that you can translate complex data into actionable insights.
✨Show Off Your Collaboration Skills
Since this role involves working closely with Partnership Managers and stakeholders, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve translated technical data for non-technical teams.
✨Get Familiar with Gen AI and SaaS
Research the latest trends in Generative AI and SaaS, especially in the FinTech space. Being able to discuss how these technologies can drive revenue and improve customer experience will show that you're not just technically savvy but also commercially minded.
✨Prepare Questions That Matter
Think of insightful questions to ask about their partnerships and how they measure success. This shows your genuine interest in the role and helps you understand if the company culture aligns with your values, especially their people-first approach.