NLP Data Scientist

JR United Kingdom; Coventry; Remote; GBP 50,000 - 52,000; Full time

Job summary

Join a leading SaaS company transforming healthcare with AI as a Data Scientist. You'll develop NLP models and collaborate with clients to derive actionable insights from data, all within a supportive, flexible, and inclusive work environment that promotes career growth.

Benefits

Monthly wellbeing allowance

Unlimited leave

Career development opportunities

Diverse and inclusive workplace

Qualifications

• 3+ years experience as a Data Scientist in a commercial setting.
• Extensive experience using Python for text analysis and machine learning.
• Familiarity with MLOps and deploying models on AWS.

Responsibilities

• Design and implement NLP approaches to extract insights from unstructured data.
• Train machine learning models to categorize text.
• Communicate with clients to gather requirements and ensure project success.

Skills

Python

Machine Learning

Data Analysis

NLP

Communication

Stakeholder Management

Tools

AWS

Jira

Confluence

Job description

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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
• Right to work in the UK

Nice to have

• Experience working in tech, healthcare, or SaaS environments
• A track record of academic publications
• Strong knowledge of Agile methodologies (Scrum, Kanban, etc.)

This is a remote role for UK-based individuals.