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- Tasks: Join our AI healthcare team to develop and improve machine learning models.
- Company: OneAdvanced, a leading AI healthcare software developer in the UK.
- Benefits: 26 days holiday, private medical insurance, and performance-based rewards.
- Why this job: Make a real impact in healthcare while gaining essential data science skills.
- Qualifications: PhD student or recent graduate in a quantitative subject with Python experience.
- Other info: Friendly team environment with opportunities for career growth and development.
The predicted salary is between 500 - 1500 £ per month.
Join OneAdvanced to use Artificial Intelligence to solve exciting problems in healthcare. OneAdvanced is a leading AI healthcare software developer with unparalleled scale, supporting 80% of urgent care services and 70% of primary care services in the UK. Our products include Electronic Health Records, Clinical Decisions Support, Workflow Management and Online Consultation, powered by our advanced AI systems, reducing workload on NHS staff and improving clinical safety for patients. Our healthcare AI & Innovation team develops and maintains these AI systems. We are currently conducting the UK's largest ever evaluation of AI in primary care in collaboration with the University of Manchester and the University of Cambridge, funded by NIHR.
We are looking for an enthusiastic PhD student with quantitative and programming experience to take part in a paid 3 or 6-month internship. You will gain experience across the entire machine learning lifecycle through developing and improving AI models, leveraging the latest advances in Large Language Models (LLMs), and contributing to making our ML engineering (MLOps) practices more robust. You may also work on data analysis and visualisation. By the end of the internship, you will acquire essential skills for data science and AI with experience solving real-world problems. If you are considering life outside academia or want to develop new skills to apply to your research, this could be the opportunity for you.
You will be a 2nd or 3rd year PhD student in a quantitative subject, or recently completed a PhD in a quantitative subject. Some knowledge of machine learning techniques and Python programming experience is required. Note: Only applicants currently enrolled in a PhD programme (or have completed a PhD) and who have full unsponsored right to work in the UK will be considered.
Wellbeing that means something:
- 26 days holiday + bank holidays (and the option to buy more) plus 1 paid volunteering day every year
- Exceptional family leave, 26 weeks fully paid maternity/adoption, 4 weeks fully paid paternity, 22 weeks fully paid shared parental leave, plus 5 days paid bereavement leave
- Robust sick pay of up to 13 weeks full pay + 13 weeks half pay
- 24/7 Employee Assistance Programme for confidential support
- Private medical insurance for everyone, no medical-history exclusions
Financial Benefits That Have Your Back:
- Performance-based rewards tailored to your role, from company-wide bonuses to OTE and commission structures
- Income protection: up to 75% salary for 5 years if you ever need it
- Grow your career with us through SkillsHub learning platform with leadership pathways, future-manager training, and a huge online library
- Access to external training and apprenticeships
Making a Difference:
- MatchIt! Fundraise for a cause close to your heart and OneAdvanced will match part of the funding
- Pennies from Heaven donate the pennies from your pay check to help make a difference without lifting a finger
- Plus plenty of other flexible benefits to suit your lifestyle on our RewardHub, including ULEV car scheme with 1,000+ models, Dental insurance, Health Cash Plan, Critical Illness Cover, Partner Life Cover
At OneAdvanced, we are at the forefront of delivering sector-focused technology solutions that simplify complexity, drive meaningful progress, and help build a fairer, more inclusive society. We deliver SaaS workflow applications and IT services that power organisations across Education, Government, Healthcare, Legal, Manufacturing, Housing, Retail, and more. OneAdvanced is one of the UKs largest business software and services companies. Based in Birmingham (The Mailbox), operating across the UK, Ireland, India, and Australia. Our secure, scalable platform, including OneAdvanced AI, powers connectivity and innovation across critical sectors. Alongside our software are our IT services, including hosting, managed services, and application modernisation. We strive to create an inclusive workplace that drives innovation and collaboration, championing diverse perspectives and ideas. Our ESG (Environmental, Social and Governance) strategy guides us to create meaningful impact for our people, our customers and the planet. Proud to be recognised in the Financial Times Best Employers 2026 list for the second year running.
Data Science Intern in London employer: Sulaiman Alqudaibi Co. For GRP & Plastic Products
Contact Detail:
Sulaiman Alqudaibi Co. For GRP & Plastic Products Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Intern in London
✨Tip Number 1
Network like a pro! Reach out to current or former interns at OneAdvanced on LinkedIn. Ask them about their experiences and any tips they might have for landing the internship. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Prepare a mini portfolio showcasing your data science projects, especially those involving machine learning or Python. This will give you an edge during interviews and show that you're ready to dive into real-world problems.
✨Tip Number 3
Practice makes perfect! Brush up on common data science interview questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your programming skills before the big day.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the OneAdvanced team. Don’t miss out!
We think you need these skills to ace Data Science Intern in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science Intern role. Highlight your programming skills and any relevant projects or research you've done. We want to see how your experience aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI in healthcare and explain why you're excited about this internship. Let us know how you can contribute to our team and what you hope to learn.
Showcase Your Skills: Don’t forget to mention your knowledge of machine learning techniques and Python programming. If you've worked on any related projects, be sure to include those details. We love seeing practical applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets into our hands directly. We can't wait to hear from you!
How to prepare for a job interview at Sulaiman Alqudaibi Co. For GRP & Plastic Products
✨Know Your AI Basics
Before the interview, brush up on your understanding of machine learning techniques and Large Language Models. Be ready to discuss how these concepts apply to real-world problems in healthcare, as this will show your enthusiasm for the role and the company’s mission.
✨Showcase Your Python Skills
Since Python programming experience is crucial for this internship, prepare to talk about your past projects or coursework involving Python. Consider bringing a portfolio or examples of your code to demonstrate your skills and problem-solving abilities.
✨Prepare Questions About MLOps
Research MLOps practices and think of insightful questions to ask during the interview. This shows that you’re not only interested in the role but also eager to contribute to improving their ML engineering processes.
✨Highlight Your Team Spirit
OneAdvanced values a friendly and supportive team environment. Be prepared to share experiences where you collaborated with others, especially in academic settings. Emphasising your ability to work well in a team will resonate with their culture.