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.
- Benefits: Competitive salary, annual bonuses, unlimited leave, and a monthly wellbeing allowance.
- Other info: Flexible remote work in a diverse and inclusive environment with career growth opportunities.
- Why this job: Make a real impact in healthcare while working with cutting-edge technology.
- Qualifications: 3+ years as a Data Scientist with Python and machine learning expertise.
The predicted salary is between 50000 - 52000 £ per year.
PEP HealthUK (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 in Leeds employer: PEP Health
PEP Health is an exceptional employer that fosters a dynamic and inclusive work culture, perfect for those looking to make a meaningful impact in healthcare through AI. With ample opportunities for career development, a flexible working environment, and a commitment to employee wellbeing, we empower our team members to thrive while pioneering innovative solutions. Join us remotely from anywhere in the UK and be part of a collaborative team dedicated to transforming patient experiences.
StudySmarter Expert Advice🤫
We think this is how you could land NLP Data Scientist in Leeds
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like PEP Health!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like NLP Data Scientist at PEP Health.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like PEP Health.
✨Apply Directly through Our Website
When you find a suitable opening like NLP Data Scientist at PEP Health, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace NLP Data Scientist in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at PEP Health, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at PEP Health. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at PEP Health
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at PEP Health!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
