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- 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 project 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 over three days a week.
The predicted salary is between 42000 - 84000 £ 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 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
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare AI space on LinkedIn or at industry events. Engaging with others can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML and NLP projects. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for hands-on assessments! Since this role involves model building, brush up on your coding skills and be ready to tackle real-world problems during interviews. Practice makes perfect!
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team and making an impact in healthcare.
We think you need these skills to ace Lead Data Scientist — Healthcare AI & Public Health Impact
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 Multidisciplinary Teams: Demonstrate your ability to work with diverse teams. Share examples of past collaborations that led to successful outcomes, as this is key for us in delivering strategic results.
Hands-On Experience Matters: Since this role involves model building, include specific projects where you’ve been hands-on. We love seeing practical applications of your skills, so don’t hold back!
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 you’re excited about!
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 prepared to discuss specific projects where you've applied these techniques, as well as the outcomes. This will show your depth of knowledge and practical experience.
✨Engage with Multidisciplinary Teams
Since the role involves working with diverse teams, think of examples where you've successfully collaborated with professionals from different backgrounds. Highlight your communication skills and how you can bridge gaps between technical and non-technical team members.
✨Prepare for Hands-On Model Building Questions
Expect questions that dive into your hands-on experience with model building. Be ready to explain your approach to problem-solving, the tools you use, and how you validate your models. Real-world examples will make your answers stand out.
✨Understand the Healthcare Sector
Familiarise yourself with current trends and challenges in healthcare AI and public health. Showing that you understand the sector's nuances will demonstrate your commitment and readiness to contribute to impactful solutions for clients.
