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For Companies At a Glance
- Tasks: Develop NLP models and analyse data to improve healthcare services.
- Company: Join PEP Health, an innovative AI platform transforming patient experience in healthcare.
- Benefits: Enjoy remote work, unlimited leave, and a monthly wellbeing allowance.
- Why this job: Be part of a dynamic team making a real impact in healthcare with cutting-edge technology.
- Qualifications: 3+ years as a Data Scientist, strong Python skills, and experience with machine learning models required.
- Other info: This is a fully remote role for UK-based applicants.
The predicted salary is between 42000 - 52000 £ per year.
PEP Health UK (remote) Contract: Permanent, full-time Salary: £50,000 - £52,000 + annual bonuses (company and performance)
About Us
We’re PEP Health, an AI-enabled platform transforming the way healthcare providers understand patient experience, and we’re looking for top talent to join our ambitious team. We’re virtually headquartered in London and operate across the UK and USA. As a SaaS company, we deliver real-time analytics via our web platform that helps improve healthcare services and patient outcomes.
We’re looking for a dynamic Data Scientist to join our growing team. You’ll be responsible for developing our NLP models, analysing the outputs of those models on the wealth of data we collect, and working closely with our customers to explain the findings in a clear, concise, and actionable manner. You should be self-motivated, eager to learn, and willing to take on new responsibilities, while managing your workload. If you thrive in an agile environment and wish to join an innovative team that’s pioneering positive change in healthcare services, we’d love to hear from you.
We’re committed to creating an exceptional working environment for our employees. Our culture is open and empowering, and we’re looking for a passionate, driven individual to join us on our mission.
What You’ll Be Doing:
- Designing and implementing NLP approaches to extract new insights from unstructured text data
- Training machine learning models to automatically categorise text
- Investigating new approaches to problems, exploring the literature, and actively following the cutting-edge of research
- Communicating with clients to gather requirements, provide updates, and ensure successful project outcomes.
- Delivering products in the form of reports, presentations, and academic publications
- Ensuring projects follow agile methodologies and best practices.
So, what’s in it for you?
- A fast-paced, friendly, collaborative and flexible working environment
- Ample opportunities for career development and growth
- A diverse and inclusive workplace
- Monthly wellbeing allowance
- Unlimited leave
What We’re Looking For:
- Must have 3+ years experience as a Data Scientist in a commercial setting
- Extensive experience using Python to analyse text and implement machine learning models - including packages like Spacy and Tensorflow
- Familiarity with MLOps and experience using AWS to develop, deploy and monitor models
- A scientific mindset with strong problem-solving, data analytical, and exploratory skills
- Experience working directly with commercial clients to present and evolve data science solutions.
- Excellent communication and stakeholder management skills, with the ability to communicate technical concepts to a non-technical audience
- Experience with project management and knowledge base tools such as Jira and Confluence
- Comfortable working remotely
- Right to work in the UK
Nice to have
- Experience working in tech, healthcare, or SaaS environments
- A track record of academic publications
- Postgraduate degree in a quantitative field
- Strong knowledge of Agile methodologies (Scrum, Kanban, etc.)
This is a remote role for UK-based individuals.
NLP Data Scientist employer: PEP Health
Contact Detail:
PEP Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land NLP Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in NLP and machine learning. Follow relevant research papers and industry news to stay updated, as this will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with Python and specific libraries like Spacy and Tensorflow. Be prepared to discuss your past projects and how you applied these tools to solve real-world problems, as this will demonstrate your hands-on expertise.
✨Tip Number 3
Highlight your communication skills by preparing examples of how you've successfully explained complex data science concepts to non-technical stakeholders. This is crucial for the role, as you'll need to convey insights clearly to clients.
✨Tip Number 4
Research PEP Health's mission and values thoroughly. Understanding their focus on improving healthcare services will allow you to align your answers with their goals, showing that you're genuinely interested in contributing to their mission.
We think you need these skills to ace NLP Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Data Scientist, particularly in NLP and machine learning. Use keywords from the job description to demonstrate that you meet their requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for healthcare and AI. Explain how your skills and experiences align with PEP Health's mission and the specific responsibilities of the role.
Showcase Your Technical Skills: In your application, emphasise your proficiency in Python, MLOps, and AWS. Provide examples of projects where you've successfully implemented NLP models or worked with unstructured text data.
Prepare for Communication: Since the role involves client interaction, be ready to discuss how you can communicate complex technical concepts to non-technical audiences. Consider including examples of past experiences where you've done this effectively.
How to prepare for a job interview at PEP Health
✨Showcase Your NLP Expertise
Be prepared to discuss your experience with NLP models in detail. Highlight specific projects where you've designed and implemented NLP approaches, and be ready to explain the methodologies you used and the outcomes achieved.
✨Demonstrate Your Communication Skills
Since the role involves explaining complex findings to clients, practice articulating technical concepts in a clear and concise manner. Consider preparing examples of how you've successfully communicated data insights to non-technical audiences in the past.
✨Familiarise Yourself with Agile Methodologies
Understand the principles of Agile methodologies, as this is crucial for the role. Be ready to discuss your experience with project management tools like Jira and Confluence, and how you've applied Agile practices in previous projects.
✨Prepare for Technical Questions
Expect technical questions related to Python, machine learning, and MLOps. Brush up on relevant libraries such as Spacy and Tensorflow, and be ready to solve problems or discuss case studies that demonstrate your analytical skills.
