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- Tasks: Lead data science initiatives using Python and machine learning to drive commercial impact.
- Company: Dynamic SaaS business prioritising data as a competitive advantage.
- Benefits: Competitive salary up to 60k, mentorship opportunities, and a collaborative environment.
- Other info: Join a team that values innovation and offers excellent career growth.
- Why this job: Shape the future of data in a fast-growing company and make a real difference.
- Qualifications: Experience in data science, Python, and statistical modelling; Elasticsearch knowledge is a plus.
The predicted salary is between 60000 - 60000 £ per year.
Do you want to work for a SaaS business where data is the competitive advantage, not a side function? A business that puts real investment behind its data capability and uses it to drive commercial decisions, product innovation, and customer value.
A genuine opportunity to own the data science agenda, while mentoring talent and influencing teams across the entire organisation. An opportunity to join a data-led SaaS business where data sits at the heart of everything they do. You’ll play a pivotal role in shaping and delivering the data strategy, ensuring data science drives smarter decisions and meaningful commercial outcomes.
Joining the business, you’ll operate as a hands-on Data Scientist, leading high-impact initiatives across the full data science lifecycle, from exploration to production. Reporting into senior leadership, you’ll work cross-functionally with Research & Insights, Technology, Product, Marketing, and Sales, acting as a trusted partner across the organisation.
You’ll be working hands-on with Python, machine learning, and statistical modelling, delivering data-driven solutions with real, measurable commercial impact. Experience with Elasticsearch / Elastic is highly desirable, as data discovery and insight sit at the core of the platform.
The role offers up to 60k plus the chance to shape the future of data within a fast-growing SaaS environment.
Data Scientist – Up to 60k – Python – Machine Learning – SaaS in Milton employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Up to 60k – Python – Machine Learning – SaaS in Milton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. This will give potential employers a taste of what you can do and how you can drive commercial impact.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the business side of data science. Be ready to discuss how your work can influence product innovation and customer value in a SaaS environment.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist – Up to 60k – Python – Machine Learning – SaaS in Milton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, machine learning, and statistical modelling. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working in a data-led SaaS environment and how you can contribute to our data strategy. Keep it engaging and personal – we love a bit of personality!
Showcase Your Impact: When detailing your past experiences, focus on the commercial impact of your work. We’re looking for data scientists who can drive meaningful outcomes, so share specific examples of how your insights have influenced decisions or improved processes.
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 shows you’re keen to join our team at StudySmarter!
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 machine learning concepts. Be ready to discuss specific projects you've worked on, especially those that had a measurable impact. This shows you can apply your knowledge in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex data challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you demonstrate your analytical thinking and ability to drive commercial outcomes.
✨Understand the Business Context
Research the company’s products and how they leverage data for competitive advantage. Being able to connect your technical skills to their business goals will show that you're not just a techie but also a strategic thinker who can influence teams across the organisation.
✨Ask Insightful Questions
Prepare thoughtful questions about their data strategy and how they measure success. This not only shows your interest in the role but also your eagerness to contribute to their data-led initiatives. It’s a great way to engage with the interviewers and leave a lasting impression.