Closing: May 8, 2024
7 days remainingPublished: Apr 18, 2024 (13 days ago)
Job Requirements
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Job Summary
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Requirements
Must have:
- Five year’s experience within Data Science roles OR three years’ experience within Data Science roles with at least a Masters Degree in a related field
- Strong proficiency in Python, R, or Similar
- A problem solvers mindset, with the ability to consider a problem from multiple angles and identify appropriate solutions.
- Excellent communication skills; you are able to translate the complex into actionable, understandable business insight.
Nice to have:
- Experience within the healthcare or insurance industries.
- Proficiency in SQL.
- Technical experience leading projects throughout their lifecycle; from scoping, development and putting them into production.
Benefits
- Remote by default
- Work alongside & learn from best-in-class talent
- Join a market leader within the HealthTech space
- Attractive Salary & benefits
- Unlimited leave days
- Fantastic work culture
- Great work-life balance.
Responsibilities
Requirements
Must have:
- Five year’s experience within Data Science roles OR three years’ experience within Data Science roles with at least a Masters Degree in a related field
- Strong proficiency in Python, R, or Similar
- A problem solvers mindset, with the ability to consider a problem from multiple angles and identify appropriate solutions.
- Excellent communication skills; you are able to translate the complex into actionable, understandable business insight.
Nice to have:
- Experience within the healthcare or insurance industries.
- Proficiency in SQL.
- Technical experience leading projects throughout their lifecycle; from scoping, development and putting them into production.
Benefits
- Remote by default
- Work alongside & learn from best-in-class talent
- Join a market leader within the HealthTech space
- Attractive Salary & benefits
- Unlimited leave days
- Fantastic work culture
- Great work-life balance.
- Develop and implement advanced data analytics and machine learning models to solve complex problems in areas such as risk assessment, customer segmentation, fraud detection, and predictive modelling.
- Collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions and strategy.
- Design and build data-driven products and services to enhance customer experiences and operational efficiency.
- Develop with modularity, repeatability and scalability in mind.
- Conduct rigorous data analysis to inform decision-making and present findings to stakeholders at all levels.
- Stay abreast of industry trends and emerging technologies in data science and healthcare; evaluate and recommend new tools and approaches to improve existing systems.
- Ensure data integrity and compliance with relevant regulations and ethical standards.
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