<h2>Why is it challenging &#x26; interesting?</h2>
<p>At PEP Health, we’re on a mission to transform healthcare through a stronger and more empowered patient voice. PEP Health listens to and makes sense of the millions of digital comments made by patients about their care to understand trends and create real-time insights. We have recently completed significant funding to grow the team and ensure our impact is international.</p>
<p>As part of our tech team, you will be responsible for a variety of tasks including the collection, processing, and analysis of both quantitative and qualitative data. This role offers a fantastic opportunity for an early-career applicant to develop programming and data science skills in a small, fast-paced, and varied environment.</p>
<h2>What will be your main responsibilities?</h2>
<p>You will work as a key part of our tech team to identify, gather, and process data about healthcare from around the internet.</p>
<p>You will write and maintain Python scripts to collect, clean, and process data, and to assist with the development of machine learning models. You’ll be responsible for quality assurance and validating the performance and outputs of your code. You will also perform essential data management, using Excel and PostgreSQL– collating data from various sources, and ensuring they are joined correctly.</p>
<p>The ideal candidate will be an early-career data scientist who is eager to develop their skills in NLP, machine learning, and data visualisation. You will also as gain a wider understanding of the business, through working closely with the commercial team.</p>
<p>We are looking for someone who is excited to work in a dynamic and fast-paced start-up environment. You should be self-motivated, eager to learn, and willing to take on new responsibilities, while managing your workload.</p>
<h2>Your skills and experience</h2>
<h3>Essential</h3>
<ul>
<li>Strong data analytical and exploratory skills</li>
<li>Strong Python skills</li>
<li>Strong Microsoft Excel skills</li>
<li>Experience in carrying out data cleansing, linking, validation and quality assurance across a variety of data types</li>
<li>Experience of Web scraping and using APIs</li>
<li>High attention to detail with confidence in dealing with ambiguity</li>
<li>Eagerness to take ownership and pride in documenting and maintaining your work</li>
<li>Being an independent learner with good problem-solving skills, who can use online resources to find solutions yourself</li>
<li>Educated to degree level</li>
</ul>
<h3>Desirable</h3>
<ul>
<li>Experience using SQL</li>
<li>Experience using Pandas, Tensorflow and Spacy</li>
<li>Experience working with text data</li>
<li>Experience implementing machine learning models</li>
</ul>
<h2>What can we offer you?</h2>
<p>In return for your expertise and commitment, we will provide a flexible, fast-paced, and stimulating international environment that will stretch your abilities and provide significant opportunities to learn. We also offer competitive salary and benefits combined with the ability to do rewarding work with a real-world, meaningful impact on transforming healthcare in the UK, and the opportunity to enter and help grow a promising venture from an early stage.</p>
<p>Some of the benefits of working with us include:</p>
<ul>
<li>Fully remote and flexible working arrangements</li>
<li>Unlimited leave</li>
<li>Regular national and international company meet-ups</li>
<li>Being part of a friendly and welcoming team</li>
<li>Mentorship and encouragement to learn and develop new skills</li>
<li>Regular learning and knowledge-sharing sessions</li>
<li>Automatic enrolment into a pension scheme</li>
</ul>
<p>PEP Health is an equal opportunities employer, and we welcome applications from diverse backgrounds.</p>
<p><strong>Location:</strong> The successful candidate can work from anywhere within the UK.</p>
<p><strong>Annual Salary:</strong> £30,000-£35,000</p>
<p><strong>Duration &#x26; Start Date:</strong> Full-Time Equivalent / Starting as soon as possible</p>
<p>If you have any questions about the role, please contact <a href="mailto:enquiries@pephealth.ai">enquiries@pephealth.ai</a></p>
<p><strong>To Apply:</strong> Please send your CV to <a href="mailto:enquiries@pephealth.ai">enquiries@pephealth.ai</a></p>


Sorry, this vacancy has now closed.