At a Glance
- Tasks: Lead a team in developing AI solutions for healthcare challenges.
- Company: Join Datatech, a top UK recruitment agency in analytics and data science.
- Benefits: Enjoy hybrid working, competitive salary, and referral bonuses.
- Other info: Opportunity to mentor junior scientists and work on exciting Gen/AI initiatives.
- Why this job: Shape the future of healthcare with innovative AI projects in a dynamic team.
- Qualifications: Proven leadership in data science, strong Python skills, and experience in AI projects required.
The predicted salary is between 54000 - 126000 € per year.
Our client is seeking to recruit a new Data Science Manager to lead data science initiatives and drive innovation in the healthcare industry. You’ll have the opportunity to leverage your expertise in Generative AI and Machine Learning within a dynamic and forward-thinking team, to shape the future of healthcare. The successful applicant will work on exciting Gen/AI, predictive and customer behaviour projects to name but a few. Proven leadership and communication skills with the ability to deliver value from data will be required.
Responsibilities
- Lead a small team of Data Scientists in developing and implementing advanced data analytics, machine learning and traditional and generative AI solutions, to address complex business challenges within the healthcare sector.
- Collaborate with cross-functional teams to identify business opportunities, define data science strategies, and drive the development of innovative products and services.
- Oversee the end-to-end process of data collection, pre-processing, analysis, and model development to derive actionable insights and improve decision-making.
- Drive the development and deployment of scalable and efficient machine learning models and algorithms to enhance healthcare services and optimize business operations.
- Mentor and coach junior data scientists, fostering a culture of continuous learning, innovation, and excellence in data science practices.
Experience Required
- Good stakeholder communication skills with proven ability to translate complex scientific findings to non-technical stakeholders.
- In-depth experience coaching and leading Junior Data Scientists within a Senior Data Science role.
- Demonstrable experience of developing complex AI projects with minimal supervision, working in line with best practices.
- Proven experience of extracting business value from data science methods using both quantitative and qualitative metrics.
- Strong mathematical and statistical background.
- Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark.
- Experience and understanding of mixed technical teams such as engineering, architects, business analysts.
- Familiar with MLOps industry best practices.
- Understanding of the financial industry, in particular insurance, would be advantageous.
If you are interested in this opportunity get in touch today to find out more.
Data Science Manager - Gen/AI - Kent in Maidstone employer: Datatech Analytics
As a Data Science Manager at our innovative healthcare-focused company in Kent, you will thrive in a hybrid working environment that promotes flexibility and work-life balance. We are committed to fostering a culture of continuous learning and professional growth, offering mentorship opportunities and the chance to lead cutting-edge projects in Generative AI and Machine Learning. Join us to make a meaningful impact in the healthcare sector while enjoying competitive benefits and a collaborative team atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager - Gen/AI - Kent in Maidstone
✨Tip Number 1
Network with professionals in the healthcare and data science sectors. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends in Generative AI and machine learning.
✨Tip Number 2
Showcase your leadership skills by participating in online forums or groups related to data science. Share your insights and experiences, which can help you build a reputation as a knowledgeable leader in the field.
✨Tip Number 3
Familiarise yourself with the specific challenges faced by the healthcare industry. Understanding these issues will allow you to tailor your discussions during interviews and demonstrate how your expertise can provide solutions.
✨Tip Number 4
Prepare to discuss your experience with MLOps and how it can be applied to enhance healthcare services. Being able to articulate this knowledge will set you apart from other candidates and show your readiness for the role.
We think you need these skills to ace Data Science Manager - Gen/AI - Kent in Maidstone
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science, particularly with Generative AI and Machine Learning. Emphasise any leadership roles you've held and specific projects that demonstrate your ability to drive innovation in the healthcare sector.
Craft a Compelling Cover Letter:In your cover letter, explain why you're passionate about the role and how your skills align with the responsibilities outlined in the job description. Mention your experience in mentoring junior data scientists and your ability to communicate complex findings to non-technical stakeholders.
Showcase Relevant Projects:Include examples of previous projects where you developed AI solutions or led data science initiatives. Be specific about your contributions and the impact these projects had on business outcomes, especially in healthcare.
Highlight Technical Skills:Clearly list your technical skills, particularly your proficiency in Python and relevant data science packages like Scikit-learn, Keras, TensorFlow, and PySpark. If you have experience with MLOps best practices, make sure to mention that as well.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll be leading a team. Be prepared to discuss your previous leadership experiences, how you've mentored junior data scientists, and the strategies you used to foster a culture of innovation and excellence.
✨Demonstrate Technical Expertise
Make sure to highlight your proficiency in Python and relevant data science packages like Scikit-learn and TensorFlow. Be ready to discuss specific projects where you applied these skills, especially in Generative AI and machine learning.
✨Communicate Complex Ideas Simply
You’ll need to translate complex scientific findings to non-technical stakeholders. Prepare examples of how you've successfully communicated intricate concepts in the past, ensuring clarity and understanding.
✨Understand the Healthcare Context
Since this role is focused on the healthcare industry, brush up on current trends and challenges in healthcare analytics. Be ready to discuss how your data science initiatives can address these issues and drive innovation.
