Karnataka Data modeler Jobs – 123 Open Jobs Today

Senior Data Scientist
Specialty Capital —Bengaluru, Karnataka
- Full-time
- Remote
- Azure
- Master's degree
- SQL
Quick apply
Data Modeller (Erwin Data Modeler)
Datamatics Technologies —Bengaluru, Karnataka
- Full-time
Quick apply
LEAD DATA ENGINEERING, INTEGRATION & GOVERNANCE
ABB Global Industries and Services Private Limited —Bengaluru, Karnataka
- Online application
- Azure
- Computer Science
- Master's degree
Quick apply
2d
Senior BIM ENGINEER - SCAN TO BIM
Advenser Engineering service —Bengaluru, Karnataka
- ₹40,000 - ₹70,000 a month
- Email
- Civil engineering
- Bachelor's degree
- Diploma
- Health insurance
- Paid time off
Quick apply
1d
Senior Technical Specialist
HCLTech —Bengaluru, Karnataka
- SQL
- Communication skills
13d
3D Modeler & Developer
Hyperreality Technologies —Bangalore City, Bengaluru, Karnataka
- ₹9,976.15 - ₹20,000.00 a month
- Full-time
- AutoCAD
- Travel
- In-person
Quick apply
1d
Senior Specialist - Package Implementation
LTM —Bengaluru, Karnataka
- Microsoft Excel
- SQL
- Bachelor's degree
Quick apply
Steel Detailer/Drafter-India - 320521
JITECH —Bengaluru, Karnataka
- Full-time
- English
- Microsoft Office
- AWS
Quick apply
BIM Technician-Mechanical
WSP —Bengaluru, Karnataka
- Microsoft Word
- AutoCAD
- Microsoft Excel
SAP Security Senior Analyst
Solventum —Bengaluru, Karnataka
- Full-time
- Bachelor's degree
- Communication skills
7d
Platform Administrator-2
JLL —Bengaluru, Karnataka
- Computer science
- Computer Science
- Software troubleshooting
- Health insurance
Analyst / Senior Analyst - SAP Security
Solventum —Bengaluru, Karnataka
- Full-time
- Bachelor's degree
- Communication skills
Business Analyst
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- SQL
- AWS
BIM Modeler – Roads and Surfaces
Egis Group —Unknown, Karnataka
- Full-time
- AutoCAD
- Project management
- Diploma
Quick apply
Senior Data Modeller
Capgemini Sogeti —Bengaluru, Karnataka
6d
Senior Platform Administrator
JLL —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Bachelor's degree
- Health insurance
Large Language Model Architect
Accenture —Bengaluru, Karnataka
- Full-time
- Master's degree
- AI
T&T-Customer-M&C-Senior Consultant | SAP CPI | Bengaluru
Deloitte —Bengaluru, Karnataka
- Java
- Scripting
- APIs
6d
Senior Electrical Designer (Bengaluru) - GFS
Burns & McDonnell —Bengaluru, Karnataka
- Full-time
- Microsoft Word
- AutoCAD
- Microsoft Excel
Senior Electrical Engineer (Bengaluru) - Mission Critical - GFS
Burns & McDonnell —Bengaluru, Karnataka
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- AutoCAD

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Senior Data Scientist

Specialty Capital
Bengaluru, Karnataka

Quick apply

Job details

Full-time

Qualifications

Azure
Underwriting
NumPy
Git
Master's degree
SQL
MCA
Pandas
AWS
Docker
Machine learning
REST
APIs
Regression analysis
Fraud prevention and detection
Data science
AI
Python

Full job description

About Specialty Capital

Specialty Capital is a data-driven alternative finance company delivering fast, flexible capital to small and mid-sized businesses. We operate at the intersection of underwriting, risk, and technology—using data and machine learning to make smarter, faster funding decisions while responsibly managing credit and fraud risk. As the company scales, we are investing heavily in building a best-in-class internal data science and AI capability to power our next phase of growth.

The Mission

Build Specialty Capital’s internal machine learning and risk modeling capability from the ground up. This role owns the design, development, and productionization of ML/AI models that directly influence underwriting decisions, fraud detection, default risk, and lead conversion. You will act as the technical authority for applied ML across credit risk and fraud, partnering closely with leadership to translate business risk into scalable, production-grade systems with measurable financial impact.

What You’ll Do:

Modeling & Analytics (Credit + Fraud)

- Design, develop, and validate predictive models across:
  - Credit risk and default probability
  - Fraud detection and early-warning signals (e.g., synthetic identities, misrepresentation, repeat offenders, anomalous behavior)
  - Funding capacity and deal sizing
  - Lead scoring and submission-to-funding optimization

- Apply statistical, machine learning, and ensemble techniques (e.g., logistic regression, gradient boosting, tree-based models) with a strong focus on precision/recall tradeoffs, interpretability, and real-world cost of errors.
- Develop approaches that balance fraud prevention, approval rates, and customer experience.

End-to-End Model Ownership

- Own the full ML lifecycle, including:
  - Data exploration, profiling, and quality assessment
  - Feature engineering across behavioral, transactional, temporal, and alternative data
  - Model training, validation, stress testing, and bias analysis
  - Deployment, monitoring, and ongoing recalibration
- Define and track KPIs across risk domains (e.g., default rate, fraud loss rate, false positives, approval rate).
- Operate with high autonomy, owning outcomes rather than executing predefined
  tasks.

Risk & Data Innovation

- Partner directly with the CDAO to:
  - Integrate alternative, behavioral, and third-party data sources for both credit and fraud use cases
  - Experiment with novel algorithms, hybrid rules + ML approaches, and real- time scoring frameworks
- Continuously adapt models to emerging fraud patterns while maintaining stable
  portfolio performance.

Infrastructure & MLOps

- Help design and implement the ML production stack, including:
  - Cloud-based deployment (AWS or Azure)
  - Real-time and batch scoring pipelines
  - Model versioning, monitoring, drift detection, and retraining
  - Containerization and API-based model serving (Docker, REST)
- Establish best practices for model governance, reproducibility, and risk controls.

Leadership & Influence

- Serve as the technical lead for applied ML across credit and fraud risk.
- Partner closely with underwriting, operations, and leadership teams to operationalize model outputs.
- Mentor junior data scientists and analysts as the team grows.
- Shape the company’s long-term ML and risk roadmap.

Who You Are – Must Haves

- Experienced Risk Modeler: 3+ years in data science with hands-on experience in fintech, lending, credit risk, fraud, or MCA environments. You understand default rates, fraud loss, false positives, and submission-to-funding funnels.
- Builder Mentality: Comfortable acting as the primary architect and implementer in a greenfield or lightly structured environment.
- Strong Technical Foundation:
  - Advanced proficiency in Python (pandas, NumPy, scikit-learn, XGBoost/LightGBM)
  - Strong SQL for analytical and production workflows
  - Experience with Git and collaborative development practices
- Business-Aware: You design models with a clear understanding of underwriting economics, fraud tradeoffs, operational constraints, and downstream financial impact.

Nice to Have – AI, Fraud & Advanced Tooling

- Fraud-Specific Experience:
  - Exposure to fraud typologies, anomaly detection, network/graph-based features, or velocity rules
  - Experience combining rules-based systems with ML models
- Generative AI & LLMs:
  - Building internal AI tools using APIs (OpenAI, Anthropic) or frameworks like LangChain
    
    Use cases such as merchant risk summaries, fraud review support, or underwriting policy interpretation
- Explainability & Governance:
  - Experience with SHAP or similar explainability techniques
  - Familiarity with audit-ready or compliance-aware modeling in financial services

Why This Role Matters

Direct ownership of models that control credit risk, fraud losses, and revenue growth
High visibility and close partnership with executive leadership
Opportunity to define Specialty Capital’s long-term ML and risk foundation

Quick apply

Refine Your Search

data modeler jobs in karnataka

Senior Data Scientist

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Senior Electrical Designer (Bengaluru) - GFS

Senior Electrical Engineer (Bengaluru) - Mission Critical - GFS

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