Bengaluru Karnataka Phd in mathematics Jobs – 93 Open Jobs Today

AI/ML Data Scientist
Nexionpro —Bangalore City, Bengaluru, Karnataka
- Full-time
- Remote
- Azure
- Doctoral degree
- Computer Science
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7h
Senior AI Solution Architect
Sourceo —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Public speaking
2d
BTS - QS - Global - Tax Senior
EY —Bengaluru, Karnataka
- Doctoral degree
- English
- Microsoft Office
Sr. Applied Scientist, Last Mile Science
Amazon Dev Center India - Hyderabad —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Senior Software Architect
o9 Solutions —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- System design
Applied Science Manager , Amazon Music Catalog Quality
Amazon Development Centre (India) Private Limited —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Engineering

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AI/ML Data Scientist

Nexionpro
Bangalore City, Bengaluru, Karnataka

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Job details

Full-time
7 hours ago

Qualifications

TensorFlow
CI/CD
Azure
Statistics
Law
Doctoral degree
Computer Science
PCI
Big data
Spark
Master's degree
SQL
Pandas
AWS
Machine learning
Continuous integration
Risk management
IT
Financial services
Fraud prevention and detection
Kafka
Data science
AI
Communication skills
Banking
Python
Analytics

Full job description

Profile - AI/ML Data Scientist
Location: Bangalore (Hybrid)
Experience: 10-15 Years
Industry: Payments / FinTech

About the Role
We are seeking an experienced AI/ML Data Scientist to design, build, and deploy machine learning solutions for large-scale payment platforms. The ideal candidate will leverage advanced analytics, machine learning, and AI technologies to address business-critical challenges including fraud detection, risk scoring, authorization optimization, anomaly detection, and transaction monitoring.This role combines expertise in Data Science, Machine Learning Engineering, and the Payments domain, working closely with Product, Risk, Compliance, and Engineering teams to develop production-grade AI solutions that drive business outcomes.

Key Responsibilities
Machine Learning & Model Development

Design, develop, validate, and deploy ML models for:
Real-time fraud detection
Card-not-present (CNP) risk scoring
Authorization approval/decline optimization
Merchant risk assessment
Chargeback and dispute prediction
AML and transaction anomaly detection
Build advanced features using transactional, behavioral, device, and network data.
Select and implement appropriate ML techniques including classification, anomaly detection, graph analytics, time-series modeling, and deep learning.

MLOps & Production Engineering

Deploy machine learning models in real-time and batch processing environments.
Implement model monitoring, drift detection, performance tracking, and retraining strategies.
Establish MLOps best practices including model versioning, CI/CD pipelines, reproducible training workflows, and A/B testing frameworks.
Collaborate with engineering teams to ensure scalability, reliability, and low-latency model performance.

AI & Generative AI Applications

Utilize modern AI and LLM technologies (Claude, GPT, etc.) to enhance data science workflows.
Develop AI-driven solutions for feature discovery, automated reporting, anomaly interpretation, and analyst productivity.
Explore GenAI use cases within Risk, Fraud, and Compliance functions while ensuring appropriate governance.

Stakeholder Collaboration & Governance

Partner with Fraud, Risk, Compliance, Product, and Engineering teams to deliver explainable and auditable AI solutions.
Present analytical insights and model performance to business stakeholders and leadership teams.
Ensure compliance with PCI-DSS, data privacy regulations, and enterprise data governance standards.

Required Skills & Qualifications

10+ years of overall IT experience with at least 3+ years in Data Science or Machine Learning roles.
Strong expertise in:
Python (Pandas, Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch)
SQL
Machine Learning Algorithms
Statistical Modeling
Anomaly Detection
Hands-on experience deploying ML models into production environments.
Strong understanding of imbalanced datasets and fraud detection techniques.
Experience with cloud platforms such as AWS, Azure, or GCP.
Exposure to big data technologies including Spark, Airflow, Databricks, or similar tools.
Knowledge of financial services regulations, data security, and compliance frameworks.
Excellent communication and stakeholder management skills.

Preferred Qualifications

Experience within Payments, FinTech, Banking, or Financial Services industries.
Knowledge of payment fraud typologies such as:
Card-Not-Present (CNP) Fraud
Account Takeover
Synthetic Identity Fraud
BIN Attacks
Card Testing Fraud
Experience with graph-based fraud detection and network analytics.
Familiarity with Visa and Mastercard risk management frameworks.
Hands-on exposure to Generative AI and LLM applications in enterprise environments.
Experience working with streaming platforms such as Kafka or Flink.
Master's or PhD in Computer Science, Statistics, Mathematics, Data Science, or related quantitative disciplines.

Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka

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phd in mathematics jobs in bengaluru karnataka

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