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- Tasks: Lead data analysis for partner performance and commercial strategy in a dynamic AI environment.
- Company: Fast-growing AI SaaS scale-up with a people-first culture.
- Benefits: Competitive salary, hybrid working, clear progression, and collaboration with ambitious teams.
- Other info: Join a collaborative team focused on innovation and growth.
- Why this job: Make a real impact using AI to drive revenue and enhance customer experiences.
- Qualifications: Experience in Python, data science, and A/B testing is essential.
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. 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.
You’ll work end to end with data, from ingestion and pipelines in Azure, through modelling in Python, to presenting insights directly to partners and senior stakeholders.
The role offers a competitive salary, hybrid working from Leeds, clear progression, and the chance to work with smart, ambitious people in a genuinely growing AI business.
If it ticks those boxes, don’t hang about, apply now or email me.
Data Scientist - 60k - 80k - Leeds (Hybrid) - AI / FinTech SaaS employer: Opus Recruitment Solutions Ltd
Contact Detail:
Opus Recruitment Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - 60k - 80k - 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. Use platforms like LinkedIn to connect with potential colleagues or even hiring managers. A friendly chat can sometimes lead to job opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python, A/B testing, or Azure. This gives you a chance to demonstrate your expertise and creativity, making you stand out when you apply through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the business side of things. Be ready to discuss how your analytical insights can drive revenue and improve customer experience, just like they do at our company!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision. Don’t forget to apply through our website for the best chance!
We think you need these skills to ace Data Scientist - 60k - 80k - Leeds (Hybrid) - AI / FinTech SaaS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match 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 insights and improve performance.
Showcase Your Projects: If you've worked on any interesting data projects, especially those involving Azure or Gen AI, make sure to include them. We love seeing practical applications of your skills!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. 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 Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and understand the ins and outs of data science concepts. Be ready to discuss A/B testing, Azure, and how you've used these tools in past projects. The more confident you are with the technical stuff, the better you'll impress them!
✨Showcase Your Commercial Mindset
This role is all about translating data into actionable insights for partners. Prepare examples of how you've used data to drive revenue or improve customer experience in previous roles. They want to see that you can think commercially, so highlight your experience in commercial analytics.
✨Prepare for Scenario Questions
Expect questions that ask how you'd handle specific situations, like designing an A/B test or presenting insights to stakeholders. Think through your approach and be ready to explain your reasoning clearly. This will show them you're not just technically skilled but also a great communicator.
✨Emphasise Team Collaboration
Since you'll be working closely with Partnership Managers and other teams, it's crucial to demonstrate your ability to collaborate. Share examples of successful teamwork and how you’ve contributed to group projects. They’re looking for someone personable and easy to work with, so let that shine through!