Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform complex data into impactful AI solutions for real-world challenges.
- Company: Fast-growing tech-driven organisation focused on AI-enabled solutions.
- Benefits: Competitive salary, health benefits, life assurance, and pension.
- Other info: Hybrid work model with opportunities for end-to-end project ownership.
- Why this job: Join a team that builds intelligent systems with real deployment impact.
- Qualifications: Strong Python and SQL skills, with experience in production environments.
The predicted salary is between 75000 - 92000 ÂŁ per year.
Location: London (Hybrid – 3 days onsite)
Salary - ÂŁ75,000 to ÂŁ92,000+
Health, Life Assurance, Pension
Are you a Data Science professional who loves solving real operational challenges, not just experimenting in notebooks? Do you enjoy working with production‑grade data pipelines, cross‑functional product teams, and high‑impact AI initiatives? I am looking for a Data Scientist to help shape advanced analytics and AI capabilities for large‑scale operational environments. You’ll be joining a fast‑growing tech‑driven organisation delivering AI‑enabled solutions that must run reliably across multiple operating companies no proofs of concept, no throwaway prototypes. If you're excited by building intelligent systems that get deployed for real, this role could be exactly what you’re looking for.
What You’ll Be Doing
- As a Data Scientist supporting AI‑powered MRO solutions, you will:
- Develop advanced models and analytical approaches that transform complex operational data into real‑world impact.
- Work closely with Data Engineers who build enterprise‑grade ETL/ELT pipelines, ensuring your Data Science outputs are scalable and production-ready from day one.
- Collaborate tightly with Product, Engineering, Analysts, and stakeholders to integrate AI solutions directly into operational workflows not just analytical environments.
- Shape data architectures that support multi‑OpCo, multi‑tenant deployments at scale.
- Influence technical direction and embed rapidly into new teams to deliver high‑impact outcomes under real deadlines and ambiguity.
This is Data Science with true end‑to‑end ownership from modelling to deployment.
What You Bring
- You’ll thrive here if you have:
- Strong Python and SQL experience, including performance tuning in production environments.
- A solid grounding in Data Science.
Data Scientist | London | Hybrid employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist | London | Hybrid
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 3
Show off your projects! Create a portfolio showcasing your work with production-grade data pipelines and AI solutions. We want to see how you’ve tackled real-world problems, so make sure to highlight your impact and results.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who are ready to dive into high-impact AI initiatives. Your next big opportunity could be just a click away!
We think you need these skills to ace Data Scientist | London | Hybrid
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 Python and SQL expertise, and any experience with production-grade data pipelines. We want to see how you can solve real operational challenges!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and data science, and explain why you're excited about working with us at StudySmarter. Be specific about how your background aligns with our mission of delivering reliable AI solutions.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's a complex model or an innovative data pipeline, we love seeing practical examples of your work that demonstrate your ability to deliver high-impact outcomes.
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 us you’re keen to join our tech-driven team!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially those related to operational challenges. Be ready to discuss how you've applied Python and SQL in real-world scenarios, particularly in production environments.
✨Showcase Your Collaboration Skills
Since this role involves working closely with cross-functional teams, prepare examples of past collaborations. Highlight how you’ve integrated AI solutions into workflows and the impact it had on the project.
✨Prepare for Technical Questions
Expect questions that test your understanding of data pipelines and model deployment. Practice explaining your thought process when developing advanced models and how you ensure they are scalable and production-ready.
✨Demonstrate Your Problem-Solving Approach
Be ready to discuss specific operational challenges you've faced and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and show your end-to-end ownership of projects.