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.

Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.

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-£90,000Hybrid working model (London office)Opportunity to work on

high-impact AI/ML solutions

in FinTechCareer growth and professional development