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- Tasks: Lead data science initiatives using Python and machine learning to drive commercial impact.
- Company: Join a dynamic SaaS business where data is the core of innovation.
- Benefits: Earn up to 60k with opportunities for mentorship and career growth.
- Other info: Collaborate across teams and influence key decisions in a supportive culture.
- Why this job: Shape the future of data strategy in a fast-paced, data-driven environment.
- Qualifications: Experience in data science, Python, and statistical modelling required.
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.
If it ticks those boxes, don’t hang about – apply or email Sophia.weedon@opusrs.com
Data Scientist - Up to 60k - Python - Machine Learning - 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 - Up to 60k - Python - Machine Learning - SaaS
✨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. 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
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data science shine through! We want to see how you’ve used Python and machine learning in real-world scenarios. Share specific projects or experiences that highlight your skills and passion for driving commercial impact.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight relevant experience with statistical modelling and Elasticsearch, and explain how your background aligns with our data-led approach. We love seeing candidates who take the time to connect their skills to what we do!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your achievements and skills. Remember, we’re looking for someone who can communicate complex data insights effectively, so show us you can do that right from the start!
Apply Through Our Website: Don’t forget to apply 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 us you’re serious about joining our team and being part of our data-driven journey!
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 where you've used statistical modelling or Elasticsearch, as this will show your hands-on experience and understanding of the tools that matter.
✨Showcase Your Impact
Prepare to talk about how your work has driven commercial outcomes in previous roles. Use concrete examples to illustrate how your data-driven solutions have made a difference, whether it’s through product innovation or improving customer value.
✨Cross-Functional Collaboration
Since you'll be working with various teams, think about times when you've successfully collaborated with others, like marketing or sales. Highlight your ability to act as a trusted partner and how you can influence decisions across the organisation.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategy and how they envision the role of data science evolving. This shows your genuine interest in the position and helps you gauge if the company aligns with your career goals.