At a Glance
- Tasks: Build impactful AI solutions for healthcare and public health clients.
- Company: Leading UK consultancy focused on innovative data science.
- Benefits: Competitive salary, career advancement, and hands-on experience.
- Why this job: Make a real difference in healthcare while working with cutting-edge technology.
- Qualifications: 3+ years of experience in ML and NLP, strong teamwork skills.
- Other info: On-site collaboration with clients for over three days a week.
The predicted salary is between 48000 - 72000 £ per year.
A leading UK consultancy is seeking data science professionals to build impactful solutions for healthcare and public sector clients. This role demands strong expertise in ML and NLP, along with the ability to engage multidisciplinary teams. You will be deeply involved in hands-on model building while also influencing strategic delivery outcomes.
Candidates should have at least 3 years of experience, with opportunities available for more senior roles. The position requires on-site work with clients for over three days a week.
Lead Data Scientist — Healthcare AI & Public Health Impact in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist — Healthcare AI & Public Health Impact in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare AI and public health sectors. Attend industry events or webinars, and don’t be shy about sliding into DMs on LinkedIn. Building connections can lead to job opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML and NLP projects. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Research the consultancy and their clients in the healthcare sector. Be ready to discuss how your experience aligns with their needs and how you can contribute to impactful solutions. Practice common data science interview questions too!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data scientists like you. Plus, applying directly can sometimes give you an edge over other candidates. Let’s get you that dream job!
We think you need these skills to ace Lead Data Scientist — Healthcare AI & Public Health Impact in London
Some tips for your application 🫡
Showcase Your Expertise: Make sure to highlight your experience in ML and NLP clearly in your application. We want to see how your skills can contribute to impactful solutions in healthcare and public health.
Engage with the Role: Don’t just list your qualifications; tell us how you’ve engaged with multidisciplinary teams in the past. We love seeing candidates who can collaborate effectively and drive strategic outcomes.
Be Hands-On: Since this role involves hands-on model building, share specific examples of projects where you’ve built models from scratch. We’re keen to understand your practical experience and problem-solving skills.
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 during the process.
How to prepare for a job interview at Harnham
✨Know Your ML and NLP Inside Out
Make sure you brush up on your machine learning and natural language processing skills. Be ready to discuss specific projects where you've applied these techniques, as well as the challenges you faced and how you overcame them.
✨Showcase Your Teamwork Skills
Since this role involves engaging with multidisciplinary teams, prepare examples that highlight your collaboration skills. Think of times when you worked with different departments or stakeholders to achieve a common goal.
✨Prepare for Hands-On Model Building Questions
Expect technical questions that require you to demonstrate your model-building expertise. Practise explaining your thought process clearly and concisely, as if you're teaching someone else about your approach.
✨Understand the Healthcare Context
Familiarise yourself with current trends and challenges in healthcare AI and public health. Being able to discuss how your work can impact these areas will show your genuine interest and understanding of the sector.
