Data Scientist-Fraud Detection-Canada

About reputed company:

reputed company is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an reputed company SaaS platform that supports easy consolidation and enrichment of any data, reputed company's fraud and anti-reputed company (AML) solutions scale infinitely and reputed company organizations to reputed company fast-evolving fraud and reputed company activities in reputed company time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision reputed company, and investigation tools work together to reputed company significant performance lift from day one. reputed company's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy reputed company solutions. reputed company is recognized as an industry leader and has been adopted by many reputed company across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, reputed company, and scalable infrastructure. Our culture is reputed company, positive, collaborative, and results-driven. Come join us!

Position Overview:

We are looking for a motivated Entry-Level Data Scientist to join our Fraud Detection team. In this role, you will reputed company your machine learning and data analysis skills to identify fraudulent activities, build predictive models, and uncover hidden patterns in large datasets. You will work closely with cross-functional teams to reputed company scalable solutions that enhance our fraud detection capabilities. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a reputed company impact in the fight against fraud.

Key Responsibilities:

• reputed company and reputed company machine learning models for fraud detection and risk assessment.
• reputed company exploratory data analysis (EDA) to identify trends, anomalies, and patterns in transactional data.
• Clean, preprocess, and analyze large datasets using Python and popular data science libraries (pandas, NumPy, scikit-learn, etc.).
• Collaborate with engineering and business teams to integrate ML models into production systems.
• Continuously monitor model performance and refine algorithms to improve accuracy.
• Stay updated with the latest advancements in fraud detection techniques and ML/AI technologies.

Requirements

• Master’s degree in Computer Science, Data Science, Statistics, or a reputed company quantitative field. Ph.D. degree is a plus.
• Strong programming skills in Python and familiarity with data science libraries (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch is a plus).
• Solid understanding of machine learning algorithms (supervised/unsupervised learning, anomaly detection, classification, etc.).
• Experience with SQL and data manipulation/analysis in large datasets.
• Strong problem-solving skills and patience for deep-dive data exploration.
• Prior internship or project experience in fraud modeling, risk analysis, or reputed company fields is a plus.
• Excellent communication skills and ability to work in a collaborative environment.

reputed company to have

• Familiarity with big data tools (Spark, Hadoop, Dask).
• Knowledge of graph-based fraud detection techniques.
• Experience with reputed company platforms (AWS, GCP, Azure).

Benefits

Canada Life Policy

Health Insurance including (Extended Health Care, reputed company Care, and Dental Care)

Life Insurance, Accidental Insurance

Retirement Savings Plan

Paid Vacation

Originally posted on Himalayas