Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (NLP) on a 9-month contract, fully remote, with a pay rate of £350-400pd DOE. Key skills include GenAI/NLP, Knowledge Graphs, Python, and experience with ML frameworks. A PhD or equivalent experience is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
400
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🗓️ - Date discovered
June 4, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Outside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#PyTorch #Python #Knowledge Graph #NLP (Natural Language Processing) #ML (Machine Learning) #Agile #Langchain #Programming #NER (Named-Entity Recognition) #Data Science #TensorFlow
Role description
Applied Data Scientist (NLP) 9 Months Initial - Outside IR35 - Fully Remote - £350-400pd DOE. We are partnering with a global tech business who are looking for a talented Data Scientist with strong experience in GenAI / NLP to join them on a contract basis As an Data Scientist you will be working on NLP applications for risk, fraud, and investigation products. Your job will be to: • Experiment with different state-of-the-art as well as traditional NLP approaches to find the best solution for the given problem. • Independently determine appropriate data and modelling choices. • Effectively communicate with technical and non-technical stakeholders. • Follow best practices for ML experimentation and MLOps. Required Qualifications: • PhD in a relevant discipline or Master’s plus a comparable level of experience • Experience in Knowledge Graphs or Large Document Search • Experience with traditional ML models and feature engineering. • Strong Experience with fine tuning, modelling and deploying LLMs - experience with RAG, IR, NER etc would also be very beneficial • Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). • Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. Please apply below for immediate consideration!