Data Scientist

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