Data Scientist– PH.D Statistics, Machine Learning or Deep Learning

Senior Analyst – Data Science-PH.D in Statistics, Machine Learning or Deep Learning

Qualification:  PhD in Statistics, Machine Learning or Deep Learning
Years of Experience
1-15 years (Completion of PhD is a strict requirement)
Permanent / Contract (If contract, period ?)

Taramani, Chennai – 600113, Tamil Nadu, India/

Bellandur Village,   Bengaluru, Karnataka

Role

Design, develop, and deploy advanced machine learning models for fraud detection.

Have in-depth knowledge in Graph Neural Networks (GNN), Transformers,

Variational   Auto Encoders, Deep Learning Models and advanced ML concepts.

Perform data analysis, feature engineering, and statistical modeling on large-scale   transactional datasets.

Collaborate with compliance, risk, and operations teams to translate requirements   into actionable data science solutions.

Build and maintain data pipelines using SQL, Python, and AWS services   (SageMaker, Redshift, S3, Lambda).

Support the integration of ML models into production environments, including   Feedzai.

Monitor and evaluate model performance, prepare reports, and recommend   improvements and ensure solutions align with regulatory standards and   organizational policies. .

Experience: 1+ years of experience in Data Science and experience in FinTech,   Payments, Banking is preferred.

Strong programming and analytical skills with Python, SQL, and statistical   techniques.
Experience in applying machine learning methods such as classification, clustering,   anomaly detection, and NLP.

·        Implementing existing research / developing novel algorithms, technical solutions to   combat fraud and anti-money laundering (AML) use cases.

Exposure to Feedzai or similar fraud detection platforms and AWS experience is   preferred.

Strong communication and collaboration skills, with the ability to work across  cross-functional teams.