NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are looking for an experienced Senior Data Scientist with strong expertise in Python, PySpark, and advanced analytics, along with a solid understanding of Financial Crime, Fraud Monitoring, and AML concepts. The ideal candidate will work on large-scale data to build, enhance, and optimize analytical and machine learning models used for fraud detection and financial crime prevention.
Key Responsibilities
- Design, develop, and deploy data science and machine learning models for fraud detection, transaction monitoring, and financial crime use cases
- Analyze large, complex datasets using Python and PySpark in distributed data environments
- Build end-to-end analytics pipelines including data ingestion, feature engineering, model training, and validation
- Apply statistical analysis, ML techniques, and pattern recognition to identify suspicious behaviors and emerging fraud typologies
- Collaborate with business, compliance, and technology teams to translate financial crime requirements into analytical solutions
- Monitor model performance, perform tuning, and ensure model stability and regulatory alignment
- Document models, methodologies, and assumptions for internal governance and audit requirements
- Stay updated on financial crime trends, fraud patterns, and regulatory expectations
Required Skills & Qualifications
- 5+ years of experience in Data Science, Analytics, or a related role
- Strong proficiency in Python (NumPy, Pandas, Scikit-learn, etc.)
- Hands-on experience with PySpark / Spark for large-scale data processing
- Solid understanding of Financial Crime domains including:
- Fraud Monitoring
- Transaction Monitoring
- AML / CTF concepts
- Customer risk and suspicious activity patterns
- Experience building and validating machine learning models (supervised & unsupervised)
- Strong knowledge of data preprocessing, feature engineering, and model evaluation
- Ability to communicate complex analytical findings to non-technical stakeholders
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
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