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Data Scientist

4 weeks ago

London Area, United Kingdom DATAHEAD Full time

Are you a Data Scientist with AWS expertise looking to work on cutting-edge machine learning and big data solutions in FinTech? A leading firm is seeking a skilled AWS Data Scientist to develop and deploy AI-driven models that drive business insights and automation.

Key Responsibilities:

  • Design, build, and deploy machine learning models on AWS for predictive analytics and optimisation.
  • Work with large-scale structured and unstructured datasets, leveraging AWS big data services.
  • Develop ML pipelines using AWS services such as SageMaker, Lambda, Glue, Redshift, and Athena.
  • Implement feature engineering, model training, and hyperparameter tuning for scalable ML solutions.
  • Collaborate with data engineers and analysts to integrate ML models into production.
  • Ensure data governance, security, and compliance best practices in ML workflows.
  • Communicate insights and recommendations to stakeholders across the business.

Requirements:

  • 4+ years of experience in Data Science, with a strong focus on AWS cloud solutions.
  • Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and SQL.
  • Hands-on experience with AWS services (SageMaker, Lambda, Glue, Redshift, Athena, S3).
  • Strong understanding of ML model development, deployment, and monitoring.
  • Experience with big data processing frameworks (Spark, EMR, Kafka) is a plus.
  • Background in FinTech or financial services is advantageous.

What's on Offer?

  • Competitive salary of £80,000-£90,000
  • Hybrid working model (London office)
  • Opportunity to work on high-impact AI/ML solutions in FinTech
  • Career growth and professional development