Test Yantra
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a contract basis (Inside IR35) in West Drayton, UK, with monthly travel to Spain. Key skills include classic and deep learning, Python, NLP, SQL/NoSQL, and MLOps tools.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
West Drayton, England, United Kingdom
-
🧠 - Skills detailed
#NumPy #Regression #Statistics #PyTorch #Spark (Apache Spark) #TensorFlow #Big Data #NoSQL #SQL (Structured Query Language) #Classification #Hadoop #Data Science #Deep Learning #Kubernetes #NLP (Natural Language Processing) #Clustering #Databases #Python #ML (Machine Learning) #Docker #Keras #Pandas
Role description
Role: Data Scientist
Employment: Contract - Inside IR35
Location: West Drayton,Waterside,UK & Spain once a month
Skills
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.
Role: Data Scientist
Employment: Contract - Inside IR35
Location: West Drayton,Waterside,UK & Spain once a month
Skills
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.
