Senior Data Scientist

Summary: The Senior Data Scientist role in London involves designing, developing, and deploying advanced machine learning and AI solutions. The candidate will work with large datasets, build predictive models, and collaborate with various teams to create scalable, data-driven products. A strong background in machine learning, deep learning, and data analysis is essential for success in this position. The role requires a minimum of 12 years of experience in the field.

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.

Key Skills:

• 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.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT