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- Tasks: Lead a team in developing innovative data science solutions for healthcare challenges.
- Company: Join a leading insurance company with a stellar reputation in the UK and beyond.
- Benefits: Enjoy a hybrid work model, excellent benefits, and a supportive working environment.
- Why this job: Shape the future of healthcare while mentoring junior talent in a dynamic team.
- Qualifications: Experience in leading data science projects, strong Python skills, and good communication abilities required.
- Other info: Must have a valid work permit to work in the UK.
The predicted salary is between 48000 - 72000 £ per year.
THIS IS A HYBRID ROLE, YOU MUST BE ABLE TO COMMUTE TO BRISTOL.
EXCELLENT BENEFITS PACKAGE AND WORKING ENVIRONMENT.
The Company: The company is a leader in its field and is an Insurance business with an excellent reputation both in the UK and abroad.
The Role: Data Science Manager to lead the data science initiatives and drive innovation in the healthcare industry. You will have the opportunity to leverage your expertise in data analysis and machine learning within a dynamic and forward-thinking team, to shape the future of healthcare.
What you will be doing:
- Lead a team of data scientists in developing and implementing advanced data analytics, machine learning and traditional and generative AI solutions, to address complex challenges in healthcare.
- 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, preprocessing, 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 optimise business operations.
- Mentor and coach junior data scientists, fostering a culture of continuous learning, innovation, and excellence in data science practices.
Ideally you will have:
- 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.
- Working knowledge 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.
- Good stakeholder communication skills with proven ability to translate complex scientific findings to non-technical stakeholders.
- Understanding of the financial industry, in particular insurance, would be advantageous.
This is an excellent opportunity to join a dynamic business and make a difference.
YOU MUST HAVE A VALID WORK PERMIT TO WORK IN THE UK.
Data Science Manager - Bristol in Bristol employer: GMA Consulting
Contact Detail:
GMA Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager - Bristol in Bristol
✨Tip Number 1
Network with professionals in the healthcare and insurance sectors. Attend industry events, webinars, or meetups in Bristol to connect with potential colleagues and learn more about the company culture.
✨Tip Number 2
Showcase your leadership skills by discussing any previous experience mentoring junior data scientists. Be prepared to share specific examples of how you've fostered a culture of learning and innovation in your past roles.
✨Tip Number 3
Familiarise yourself with the latest trends in machine learning and AI, particularly in the healthcare sector. Being able to discuss recent advancements or case studies during interviews can demonstrate your passion and expertise.
✨Tip Number 4
Prepare to articulate how you can extract business value from data science methods. Think of specific metrics or success stories that highlight your ability to translate complex data into actionable insights for stakeholders.
We think you need these skills to ace Data Science Manager - Bristol in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in leading teams and developing AI projects. Use specific examples that demonstrate your expertise in Python and machine learning frameworks.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the healthcare industry and how your skills can drive innovation. Mention your experience in mentoring junior data scientists and your ability to communicate complex ideas to non-technical stakeholders.
Showcase Relevant Projects: If you have worked on significant data science projects, especially in healthcare or insurance, include them in your application. Describe your role, the challenges faced, and the impact of your work on the business.
Highlight Soft Skills: Emphasise your leadership and communication skills in your application. The role requires collaboration with cross-functional teams, so showcasing your ability to work well with others is crucial.
How to prepare for a job interview at GMA Consulting
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll be leading a team. Be prepared to discuss your experience in mentoring and coaching junior data scientists. Share specific examples of how you've fostered a culture of learning and innovation in your previous roles.
✨Demonstrate Technical Expertise
Make sure to highlight your proficiency in Python and relevant data science packages like Scikit-learn, Keras, and TensorFlow. Be ready to discuss complex AI projects you've developed, focusing on the methodologies and best practices you employed.
✨Understand the Business Context
The role involves translating data science findings to non-technical stakeholders. Prepare to explain how you've extracted business value from data science methods in the past, using both quantitative and qualitative metrics to support your points.
✨Prepare for Cross-Functional Collaboration
Since the role requires collaboration with various teams, think of examples where you've successfully worked with engineers, architects, or business analysts. Highlight your communication skills and how you've navigated different perspectives to achieve common goals.
