Data Science Manager – Gen/AI & ML Projects

Datatech Analytics; Royal Tunbridge Wells; Hybrid; GBP 70,000 - 90,000; Full time

Job description

Data Science Manager - Gen/AI & ML Projects

Salary: Negotiable up to £90,000 Dependent on Experience

Location: Hybrid working - West Kent office (2-3 days per week in the office)

Ref No: Ref J12951

Please note we can only accept applications from those with current UK working rights for this role, this client cannot offer visa sponsorship.

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 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

1. 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 healthcare sector.
2. Collaborate with cross-functional teams to identify business opportunities, define data science strategies, and drive the development of innovative products and services.
3. Oversee the end-to-end process of data collection, pre-processing, analysis, and model development to derive actionable insights and improve decision-making.
4. Drive the development and deployment of scalable and efficient machine learning models and algorithms to enhance healthcare services and optimize business operations.
5. Mentor and coach junior data scientists, fostering a culture of continuous learning, innovation, and excellence in data science practices.

Experience Required

1. Good stakeholder communication skills with proven ability to translate complex scientific findings to non-technical stakeholders.
2. In depth experience coaching and leading Junior Data Scientists within a Senior Data Science role.
3. Demonstrable experience of developing complex AI projects with minimal supervision, working in line with best practices.
4. Proven experience of extracting business value from data science methods using both quantitative and qualitative metrics.
5. Strong mathematical and statistical background.
6. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark.
7. Experience and understanding of mixed technical teams such as engineering, architects, business analysts.
8. Familiar with MLOps industry best practices.
9. 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.