At a Glance
- Tasks: Lead optimisation projects and create impactful solutions using advanced data science techniques.
- Company: Fast-growing UK start-up revolutionising operational decision-making with AI.
- Benefits: Competitive salary, private healthcare, and flexible hybrid working.
- Other info: Mentor junior scientists and thrive in a dynamic, innovative environment.
- Why this job: Own projects from start to finish and make a real-world impact.
- Qualifications: MSc/PhD in relevant field and strong Python engineering skills.
The predicted salary is between 60000 - 84000 £ per year.
A fast-growing UK start-up is looking for a Senior Data Scientist with expertise in mathematical optimisation and strong engineering skills. This is a chance to own projects end-to-end, from framing complex business problems to deploying production-ready solutions that drive real-world impact.
- Build scalable pipelines using best-in-class engineering practices (CI/CD, testing, containerisation)
- Mentor junior scientists and promote modelling best practices
MSc/PhD in Operations Research, Applied Maths, Computer Science, or related field
Strong Python engineering background, ideally with cloud experience (GCP preferred)
Hybrid & flexible working (2 days per week in Central London)
Private healthcare & wellbeing support
This is a fantastic opportunity to join a growing start-up shaping the future of operational decision-making through advanced optimisation and AI.
If you're interested, reach out for a confidential chat or click apply!
PhD Research Scientist in London employer: Vivo Talent Solutions
Join a dynamic and innovative start-up in Central London, where you will have the opportunity to lead impactful projects in optimisation and operational research. With a strong emphasis on employee growth, mentorship, and a flexible hybrid working model, we offer private healthcare and wellbeing support to ensure a fulfilling work-life balance. Be part of a collaborative culture that values your expertise and encourages you to shape the future of decision-making through advanced AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land PhD Research Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. 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 optimisation and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to operational research and optimisation. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 hearing from passionate candidates who are eager to make an impact in the field.
We think you need these skills to ace PhD Research Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a PhD Research Scientist. Highlight your experience in mathematical optimisation and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about operational research and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills:Don’t forget to highlight your Python engineering background and any cloud experience you have, especially with GCP. We’re looking for someone who can build scalable pipelines, so make sure to mention any relevant projects or tools you've used.
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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Vivo Talent Solutions
✨Know Your Stuff
Make sure you brush up on your mathematical optimisation and engineering skills. Be ready to discuss specific projects where you've applied these skills, especially in Python and cloud environments like GCP. This will show that you can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've framed complex business problems in the past. Think of examples where you've taken a project from start to finish, highlighting your ability to deploy production-ready solutions that have made a real impact.
✨Mentorship Matters
Since mentoring junior scientists is part of the role, be ready to discuss your experience in guiding others. Share specific instances where you've promoted best practices in modelling or helped someone grow in their role.
✨Embrace the Hybrid Model
Familiarise yourself with the hybrid working model and be prepared to discuss how you manage your time effectively between remote work and being in the office. Highlight any experiences you have with collaboration tools that facilitate this kind of working environment.
