Insight International (UK) Ltd

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in London, UK, on a contract basis (Inside IR35) for the airline/aviation domain. Key skills include Python, machine learning, deep learning, NLP, and experience with SQL/NoSQL databases. Hybrid work (3 days onsite weekly).
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
March 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#NLP (Natural Language Processing) #Datasets #Pandas #Big Data #Scala #AI (Artificial Intelligence) #NoSQL #Classification #Data Analysis #Statistics #Deep Learning #Python #Data Science #TensorFlow #SQL (Structured Query Language) #Regression #Databases #Model Evaluation #Keras #Spark (Apache Spark) #NumPy #Data Cleaning #ML (Machine Learning) #Clustering #Docker #A/B Testing #Kubernetes #PyTorch #Hadoop #Data Pipeline
Role description
Position: Data Scientist Location: London, UK Mode: Hybrid (3 days onsite weekly) Job Type: Contract – Inside IR 35 Domain: Airline / Aviation Note: All BELOW SKILLS & EXPEREINCE ARE NOT MANDATORY Data Scientist: We are seeking a highly skilled Data Scientist – AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products. Key Responsibilities Design, develop, and optimize machine learning and deep learning models. Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI. Perform data cleaning, feature engineering, and exploratory data analysis (EDA). Build and manage data pipelines and model training workflows. Deploy models into production and monitor performance. Collaborate with Product, Engineering, and Business teams to translate business problems into AI solutions. Conduct model evaluation, A/B testing, and performance tuning. Document models, experiments, and technical processes. Required Skills & Qualifications Classic Machine learning (Regression, predictive Analysis, Classification, Clustering) Machine learning Model Optimisation Strong proficiency in Python (NumPy, Pandas, Scikit-learn). Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras. Experience in Natural Language Processing (NLP) and/or Computer Vision. Strong knowledge of Machine Learning algorithms and statistics. Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred). Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines.