Data Scientist
3 weeks ago
Are you a data science enthusiast looking to make a meaningful impact in the healthcare industry? AXA Health is seeking a talented individual to join our innovative team. As a Data Scientist, you'll have the opportunity to leverage your expertise in data analysis and machine learning to drive actionable insights and contribute to the development of cutting-edge solutions that improve the health and well-being of our customers.
About the RoleWe're looking for a highly skilled Data Scientist to join our dynamic team. Your primary responsibilities will include:
- Gathering and cleaning large volumes of structured and unstructured data from various sources.
- Applying statistical, machine learning, and traditional and generative AI techniques to analyze data, identify patterns, and develop predictive models.
- Creating visual representations of data to communicate insights and findings to non-technical stakeholders.
- Interpreting data analysis results to provide actionable insights and recommendations for business decisions.
- Working closely with cross-functional teams to understand business needs, develop solutions, and implement data-driven strategies.
We're committed to providing a competitive compensation package, including:
- A competitive annual salary of between £50,000 and £65,000 dependent on experience.
- Discretionary company and performance-based bonus.
- Contributory pension scheme (up to 12% employer contributions).
- Life Assurance (up to 10 x annual salary).
- 25 days annual leave plus Bank Holidays.
- Opportunity to buy up to 5 extra days leave or sell up to 5 days leave.
- AXA employee discounts.
At AXA Health, we help our members be the best version of themselves by providing access to health and wellbeing support for mind and body. We're transforming our business by developing easy, efficient, digital experiences for our customers. We're a collective of specialists passionate about helping our members flourish, whether that's individuals and families, small businesses or huge corporates.
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