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- Tasks: Lead a talented data science team and work on innovative AI projects.
- Company: Join a market-leading health-focused organisation transforming healthcare with data science.
- Benefits: Enjoy a collaborative culture, opportunities for growth, and cutting-edge technology.
- Why this job: Shape the future of AI in healthcare while leading a dynamic and skilled team.
- Qualifications: Experience in data science, leadership skills, and a passion for AI technologies.
- Other info: Blend hands-on coding with team leadership in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
Shape the future of AI in healthcare and lead a talented data science team.
Work on cutting-edge GenAI, ML, and traditional AI projects.
Lead and grow a collaborative and technically strong team.
Blend hands-on coding with team leadership.
We are working with a market-leading health-focused organisation that is using cutting-edge data science and AI to reshape how people access and experience healthcare.
Data Science Manager employer: ADLIB Recruitment
Contact Detail:
ADLIB Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Familiarise yourself with the latest trends in AI and healthcare. Being knowledgeable about how data science is transforming the healthcare sector will not only impress us but also show your genuine interest in the role.
✨Tip Number 2
Highlight your leadership experience in previous roles. We’re looking for someone who can lead a team effectively, so be prepared to discuss specific examples of how you've successfully managed and developed talent in the past.
✨Tip Number 3
Showcase your technical skills by discussing relevant projects. Be ready to talk about your hands-on coding experience and how you’ve applied machine learning or AI techniques in real-world scenarios, especially in healthcare.
✨Tip Number 4
Network with professionals in the AI and healthcare fields. Engaging with industry experts can provide insights into the role and help you understand what we value in a candidate, making you a more attractive applicant.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Data Science Manager position. Understand the key responsibilities, such as leading a team and working on AI projects, so you can tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience in data science, particularly in AI and machine learning. Include specific examples of projects you've led or contributed to that align with the company's focus on healthcare.
Showcase Leadership Skills: Since the role involves leading a team, make sure to highlight your leadership experience. Discuss how you've successfully managed teams, fostered collaboration, and driven technical excellence in previous roles.
Craft a Compelling Cover Letter: Write a personalised cover letter that connects your skills and experiences to the company's mission in healthcare. Express your passion for using data science to improve healthcare access and outcomes, and explain why you're excited about this opportunity.
How to prepare for a job interview at ADLIB Recruitment
✨Showcase Your Technical Skills
As a Data Science Manager, you'll need to demonstrate your expertise in GenAI, ML, and traditional AI. Be prepared to discuss specific projects you've worked on, the technologies you used, and the impact of your work on previous teams or organisations.
✨Emphasise Leadership Experience
Since the role involves leading a talented data science team, highlight your leadership experience. Share examples of how you've successfully managed teams, fostered collaboration, and developed team members' skills in a technical environment.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities and decision-making skills. Think about challenges you've faced in previous roles and how you approached them, especially in a healthcare context.
✨Align with the Company's Vision
Research the organisation's mission and values, particularly their focus on reshaping healthcare through data science. Be ready to discuss how your vision aligns with theirs and how you can contribute to their goals.
