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- Tasks: Dive into complex datasets and develop predictive models to drive impactful decisions.
- Company: Join a leading NHS client focused on improving healthcare through data-driven insights.
- Benefits: Enjoy hybrid working with one day on-site and competitive pay including London Weighting.
- Why this job: Make a real difference in healthcare while honing your analytical skills in a supportive environment.
- Qualifications: Bring your advanced Python skills and experience in machine learning and statistical modeling.
- Other info: Ideal for those passionate about data science and its application in the NHS.
The predicted salary is between 42000 - 60000 £ per year.
We are currently seeking a talented Data Scientist to work for one of our NHS clients. This role offers the opportunity to apply your advanced analytical skills to complex datasets, contributing to impactful decision-making and helping to drive improvements.
This is a Band 7 (+ London Weighting) opportunity, which offers hybrid working (1 day per week on site).
Summary
You will assist in the development of statistical and analytical best practices, applying them to complex datasets to deliver actionable insights. You will work on predictive and statistical models, contribute to the development of machine learning methodologies, and assist with model testing and development.
Main Responsibilities
- Undertake exploratory data analysis, develop and contribute to predictive models, and apply advanced statistical methods to solve complex problems.
- Present complex analytical findings to non-technical stakeholders, ensuring that insights are actionable and aligned with business goals.
- Develop visualisations and reports to communicate data insights clearly and compellingly.
- Stay up to date with new programming tools and analytical methods, contributing to research and the development of new methodologies for highly complex prediction models.
- Liaise with internal and external stakeholders to communicate complex findings and develop new metrics to drive performance and quality improvements.
Essential Experience Required
- Extensive experience in data analysis, machine learning, and statistical modelling, ideally within the NHS or a similar environment.
- Advanced level Python skills, with experience in machine learning applications.
- Knowledge of software principles such as APIs, CI/CD, DevOps, and MLOps.
- Strong interpersonal and communication skills including proven ability to explain complex analytical methods to non-analytical stakeholders.
- Experience working with at least one cloud platform (preferably Azure).
- Practical experience with NLP techniques and LLMs.
- In-depth specialist knowledge of descriptive and inferential statistical analysis.
Please apply should you meet the above criteria.
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Data Scientist employer: Daxis Web BV
Contact Detail:
Daxis Web BV Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Make sure to showcase your experience with complex datasets and statistical modeling in your conversations. When networking or during interviews, highlight specific projects where you've successfully applied these skills, especially in a healthcare context.
✨Tip Number 2
Familiarize yourself with the latest trends in machine learning and data analysis, particularly those relevant to the NHS. Being able to discuss recent advancements or methodologies can set you apart during discussions with potential employers.
✨Tip Number 3
Practice explaining complex analytical concepts in simple terms. Since you'll be presenting findings to non-technical stakeholders, being able to communicate effectively is crucial. Consider doing mock presentations to refine this skill.
✨Tip Number 4
Engage with online communities or forums related to data science in healthcare. This can help you build connections, gain insights into industry needs, and potentially lead to referrals for job opportunities at organizations like ours.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description. Understand the key responsibilities and required skills, especially focusing on data analysis, machine learning, and statistical modeling.
Tailor Your CV: Customize your CV to highlight relevant experience in data analysis and machine learning. Emphasize your advanced Python skills and any experience you have with cloud platforms like Azure.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to communicate complex findings to non-technical stakeholders. Mention specific projects or experiences that align with the role.
Highlight Communication Skills: Since the role requires explaining complex analytical methods to non-analytical stakeholders, make sure to include examples of how you've successfully communicated technical information in the past.
How to prepare for a job interview at Daxis Web BV
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis and machine learning. Highlight specific projects where you've applied advanced statistical methods, especially in a healthcare context, as this will resonate well with the NHS client.
✨Communicate Complex Ideas Simply
Practice explaining your analytical findings in a way that non-technical stakeholders can understand. Use clear examples and avoid jargon to demonstrate your strong interpersonal and communication skills.
✨Demonstrate Your Technical Proficiency
Make sure to discuss your advanced Python skills and any relevant experience with cloud platforms like Azure. Be ready to talk about your familiarity with APIs, CI/CD, and MLOps, as these are crucial for the role.
✨Stay Current with Industry Trends
Show your enthusiasm for continuous learning by discussing recent programming tools or analytical methods you've explored. This demonstrates your commitment to staying up-to-date and contributing to innovative methodologies.
