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Job description

Link Humans is a data-driven research firm with a clear mission: To make the world of work a better place. We help Fortune 500 companies understand employer reputation to attract and retain the best talent.

We are looking for a competent data scientist passionate about Natural Language Processing and Machine Learning. You will join a dynamic and fast-paced environment and work with cross-functional teams to integrate coding solutions into larger systems or applications.

Responsibilities

• Text Analysis and Preprocessing: Perform tasks like tokenization, part of speech tagging, syntactic/dependency parsing, and other text processing techniques to transform unstructured text data into a structured format suitable for NLP models.

• NLP Model Development: Design, implement, and fine-tune NLP models such as sentiment analysis, named entity recognition, text classification, and topic modeling.

• Machine Learning: Utilize machine learning algorithms and techniques to build and train NLP models, including supervised and unsupervised learning approaches.

• Feature Engineering: Identify and extract relevant features from text data to enhance the performance of NLP models.

• Deep Learning: Work with deep learning architectures (e.g., RNNs, CNNs), and transformer models (e.g., BERT, GPT) to solve NLP tasks.

• Transfer Learning: Utilize pre-trained language models and fine-tuning techniques to adapt them to specific NLP tasks and domains.

• Evaluation and Optimization: Evaluate the performance of NLP models using appropriate metrics and iterate on model improvements to achieve better accuracy and efficiency.

• Deployment and Monitoring: Deploy NLP models into production systems and monitor their performance and reliability in real-world scenarios.

• Stay current with Research: Stay updated with the latest advancements in NLP and research papers to incorporate cutting-edge techniques into your work.

Requirements and skills

• Enjoy working at the intersection of business, programming, and textual data.

• Advanced Python programming skills.

• Hands-on experience in an NLP project, either at work or at university.

• Solid understanding of word embeddings and Large Language Models.

• Experience with the majority of the following Python libraries: pandas, gspread, scikit-learn, NLTK, spaCy, hugging face, sbert, OpenAI, PyTorch, and TensorFlow.

• Experience with Git commands.

• Experience with Google Colab or similar tools.

• Excellent problem-solving skills and a willingness to roll up one's sleeves to get the job done.

Job Types: Full-time, Permanent, Graduate

Salary: £25,000.00-£30,000.00 per year

Benefits:

• Additional leave
• Casual dress
• Company pension
• Discounted or free food
• Sick pay
• Work from home

Schedule:

• Monday to Friday

Supplemental pay types:

• Bonus scheme

Work Location: Remote