

Insight International (UK) Ltd
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist (contract, 12+ years experience) in London, UK (Hybrid). Requires strong skills in AI/ML, Python, deep learning frameworks, and experience with NLP, computer vision, and big data tools.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
January 17, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Pandas #Big Data #Python #Cloud #NoSQL #PyTorch #SQL (Structured Query Language) #Statistics #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Data Cleaning #Spark (Apache Spark) #Clustering #Databases #Data Science #Keras #Hugging Face #Data Analysis #Datasets #Scala #NLP (Natural Language Processing) #TensorFlow #Azure #Kubernetes #A/B Testing #ML (Machine Learning) #Regression #NumPy #Langchain #Data Pipeline #Model Evaluation #Classification #GCP (Google Cloud Platform) #Deep Learning #Hadoop #Microservices #Docker
Role description
Role: Senior Data Scientist
Location: London, UK (Hybrid)
Employment type: Contract
Experience required: 12+ Years
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.
Preferred Skills
Experience with LLMs / Generative AI (OpenAI, Hugging Face, LangChain).
Cloud experience (AWS, Azure, or GCP).
Experience building AI APIs and microservices.
Role: Senior Data Scientist
Location: London, UK (Hybrid)
Employment type: Contract
Experience required: 12+ Years
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.
Preferred Skills
Experience with LLMs / Generative AI (OpenAI, Hugging Face, LangChain).
Cloud experience (AWS, Azure, or GCP).
Experience building AI APIs and microservices.






