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- Tasks: Lead a team in developing AI and ML solutions for healthcare challenges.
- Company: Join Datatech, a top UK recruitment agency in analytics, known for innovation.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of healthcare with cutting-edge technology and a dynamic team.
- Qualifications: Proven leadership in data science, strong Python skills, and experience in AI projects required.
- Other info: Refer a friend for rewards and be part of a culture of continuous learning.
The predicted salary is between 54000 - 72000 £ 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 will have the opportunity to leverage your expertise in advanced analytics 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 & ML Projects in Tunbridge Wells employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager Gen/AI & ML Projects in Tunbridge Wells
✨Tip Number 1
Familiarise yourself with the latest trends in generative AI and machine learning, especially within the healthcare sector. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role and its challenges.
✨Tip Number 2
Network with professionals in the data science and healthcare fields. Attend relevant meetups or webinars to connect with industry experts, which can provide insights into the company culture and expectations for the Data Science Manager role.
✨Tip Number 3
Prepare to discuss your leadership style and experiences in mentoring junior data scientists. Be ready to share specific examples of how you've successfully led teams and delivered value from data in previous roles.
✨Tip Number 4
Research the company’s recent projects and initiatives in AI and machine learning. Understanding their current focus areas will allow you to tailor your discussions and show how your skills align with their goals.
We think you need these skills to ace Data Science Manager Gen/AI & ML Projects in Tunbridge Wells
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in AI and machine learning projects. Emphasise your leadership skills and any experience mentoring junior data scientists.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for healthcare innovation through data science. Mention specific projects you've led or contributed to, and how they align with the responsibilities outlined in the job description.
Highlight Technical Skills: Clearly list your technical skills, especially your proficiency in Python and data science packages like Scikit-learn, Keras, TensorFlow, and PySpark. Provide examples of how you've applied these skills in previous roles.
Showcase Communication Skills: Demonstrate your ability to communicate complex data findings to non-technical stakeholders. Include examples of past experiences where you successfully translated technical information into actionable insights for business decisions.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully guided junior data scientists in the past, highlighting your coaching techniques and the impact on their development.
✨Communicate Complex Ideas Simply
You'll be required to translate complex scientific findings to non-technical stakeholders. Practice explaining your previous projects in layman's terms, focusing on the business value and actionable insights derived from your work.
✨Demonstrate Technical Proficiency
Be ready to discuss your experience with Python and data science packages like Scikit-learn, Keras, and TensorFlow. Prepare to share specific projects where you applied these tools, showcasing your technical skills and understanding of best practices in MLOps.
✨Understand the Healthcare Sector
Familiarise yourself with current trends and challenges in the healthcare industry, especially related to AI and machine learning. Being able to discuss how your expertise can address these challenges will set you apart as a candidate who is not only technically skilled but also industry-aware.
