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- Tasks: Lead data science strategies to transform healthcare data into actionable insights.
- Company: Evaro aims to revolutionise healthcare access like online banking did for finance.
- Benefits: Enjoy competitive salary, equity options, flexible working, and a professional development budget.
- Why this job: Make a real impact on patient outcomes while working in a diverse, innovative team.
- Qualifications: Advanced degree in Data Science and 5+ years of experience, including leadership roles.
- Other info: Join a mission-driven company focused on improving healthcare delivery through technology.
The predicted salary is between 43200 - 72000 £ per year.
Evaro is looking to do for health care what online banking has done for finance, and we\’re looking for a Head of Data Science to help us that through data-driven insights and innovations.
Our mission?
To increase accessibility to prescription medications and improve health outcomes by providing a seamless, technology-driven solution that empowers brands to integrate digital health services effortlessly, Evaro strives to build the online banking for UK healthcare.
About the job
We\’re looking to hire a Head of Data Science to build out and lead the data science capabilities across the organisation. You\’ll have a background in analytics, machine learning, and leading data teams. You’ll be joining the company at an exciting time, working to build out a data team to help drive the company’s direction. Ensuring that data isn\’t just analyzed but transformed into actionable insights that directly improve patient outcomes.
Join Evaro as Head of Data Science to harness the power of healthcare data and help us create a world class platform for our digital healthcare services.
Evaro has a diverse team of Engineers, Designers, and Product specialists from various countries across Europe, North Africa, and the Middle East. These professionals work together both remotely and in-person to develop innovative healthcare access solutions. Their solutions are currently aimed at the UK private and public markets, focusing on technological advancements and human-centered design to address key challenges in the healthcare system.
We\’re applying technology and innovation to optimize inefficient and inflexible bureaucratic processes, which gives our patients more freedom, choice and discretion, empowering them to take back control of their health journeys.
In this role you will:
You\’ll be designing, implementing, and leading data science strategies that transform healthcare data into valuable insights and predictive models. Your work will directly impact 13.5 million patients across NHS and private healthcare services in the UK.
You will be:
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Building and leading a team of data scientists and analysts
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Developing predictive models to improve patient outcomes and operational efficiency
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Creating data pipelines and architectures to handle sensitive healthcare information securely
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Implementing machine learning solutions to personalize healthcare experiences
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Analyzing large datasets to identify trends and opportunities for service improvement
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Collaborating with product and engineering teams to integrate data insights into our platform
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Establishing data governance frameworks and ethical guidelines for healthcare data
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Driving innovation through data-led research and development initiatives
You\’ll report directly to the CTO and be responsible for building a focused data team while working closely with engineering, product, and healthcare specialists.
Required Skills:
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Advanced degree in Data Science, Statistics, Computer Science, or related field
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5+ years experience in data science with at least 2 years in a leadership role
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Strong background in machine learning algorithms and statistical modeling
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Experience working with healthcare data and understanding of healthcare analytics
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Proficiency in Python, R, or similar data science programming languages
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Knowledge of big data technologies and cloud platforms (We’re a GCP shop)
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Strong communication skills with ability to translate complex data insights for non-technical stakeholders
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Experience implementing data governance and compliance measures, particularly with GDPR and healthcare regulations
Nice to have:
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PhD in a relevant field
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Experience with electronic health records (EHR) systems
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Knowledge of FHIR standards and healthcare interoperability
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Background in natural language processing for medical text analysis
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Experience with real-time data processing and analytics
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Publications or patents in healthcare data science
Perks
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Competitive salary
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Potential equity options
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Flexible working
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Professional development budget
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Opportunity to make a meaningful impact on healthcare delivery
Our hiring process:
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Interview with our Talent Partner (Sofi)
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Leadership panel with executives
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Offer
To learn more about us:
Evaro Website | Evaro LinkedIn page | Evaro Careers
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Head of Data Science employer: Evaro
Contact Detail:
Evaro Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science
✨Tip Number 1
Familiarise yourself with Evaro's mission and values. Understanding how they aim to revolutionise healthcare through data-driven insights will help you align your vision with theirs during discussions.
✨Tip Number 2
Showcase your leadership experience in data science by preparing examples of how you've successfully built and led teams. Be ready to discuss specific projects where your leadership made a significant impact.
✨Tip Number 3
Brush up on your knowledge of healthcare analytics and regulations, particularly GDPR. Being able to speak confidently about these topics will demonstrate your readiness to handle sensitive healthcare data.
✨Tip Number 4
Prepare to discuss your experience with machine learning algorithms and predictive modelling. Think of examples where your work has directly improved outcomes, as this aligns perfectly with Evaro's goals.
We think you need these skills to ace Head of Data Science
Some tips for your application 🫡
Understand the Company Mission: Before applying, take some time to understand Evaro's mission and how they aim to transform healthcare. This will help you tailor your application to reflect their goals and demonstrate your alignment with their vision.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience in data science, particularly in leadership roles. Mention specific projects where you've implemented machine learning solutions or developed predictive models that improved outcomes.
Showcase Technical Skills: Make sure to detail your proficiency in programming languages like Python or R, as well as your experience with big data technologies and cloud platforms. Highlight any relevant certifications or courses that bolster your technical expertise.
Communicate Effectively: Since the role requires translating complex data insights for non-technical stakeholders, include examples in your application of how you've successfully communicated technical information to diverse audiences in the past.
How to prepare for a job interview at Evaro
✨Showcase Your Leadership Experience
As a Head of Data Science, you'll be leading a team. Be prepared to discuss your previous leadership roles, how you managed teams, and the impact your leadership had on projects. Highlight specific examples where your guidance led to successful outcomes.
✨Demonstrate Technical Proficiency
Evaro is looking for someone with a strong background in machine learning and data science programming languages like Python or R. Be ready to discuss your technical skills in detail, including any relevant projects you've worked on that showcase your expertise.
✨Understand Healthcare Analytics
Since the role involves working with healthcare data, it's crucial to demonstrate your understanding of healthcare analytics. Familiarise yourself with current trends in healthcare data usage and be prepared to discuss how data can improve patient outcomes.
✨Communicate Complex Insights Simply
You'll need to translate complex data insights for non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work rather than the technical details. This will show your ability to bridge the gap between data science and business needs.
