Paschim Vihar Delhi Delhi Data scientist Jobs – 374 Open Jobs Today

Data Scientist
AIS InfoSource —Gurugram, Haryana
- English
- SQL
- AWS
14d
Data Science Engineer
V Patrol AI Pvt ltd —Gurugram, Haryana
- ₹3,48,246.23 - ₹6,02,430.41 a year
- Full-time
- Computer Science
- Master's degree
- AWS
Quick apply
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- Doctoral degree
- Master's degree
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ICF —New Delhi District, Delhi
- Full-time
- Master's degree
- AI
4d
Data Scientist Junior, Sign 3
Cedar Management Consulting —Gurugram, Haryana
- Full-time
- SQL
- Python
Data Scientist - Machine Learning
United Airlines —Gurugram, Haryana
- Full-time
- Computer Science
- Customer service
- English
- Health insurance
Manager-Data Science-Data Scientist
EXL Service —Gurugram, Haryana
- Full-time
- Master's degree
- Analysis skills
- Bachelor's degree
Data Scientist
Precognitas Health —New Delhi District, Delhi
- Email
- Computer science
- Master's degree
- Math
DATA SCIENCE/ DATA ANALYTICS TRAINER/FACULTY
Megara Infotech —Gurugram, Haryana
- Part-time
- Master's degree
- SQL
- Bachelor's degree
AI Developer (Part-time, Work-from-Home)
Flashy International —Delhi, Delhi
- Part-time
- Remote
- Azure
- Computer Science
- Master's degree
- Work from home
Senior Data Scientist
S&P Global —Gurugram, Haryana
- Email
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- Master's degree
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- Health insurance
- Paid time off
Data Scientist
StatusNeo Technology Consulting —Gurugram, Haryana
- Full-time
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Analyst - Data Scientist Machine Learning
United Airlines —Gurugram, Haryana
- Full-time
- Azure
- English
- Master's degree
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Data Scientist
DEWII —Gurugram, Haryana
- Azure
- SQL
- AWS
Data Scientist
Aftershoot —Delhi, Delhi
- Hybrid work
- SQL
- Analytics
Data Scientist – Time Series, Statistical Modelling
Capco —Gurugram, Haryana
- Azure
- SQL
- Machine learning
Quick apply
Data Science and Business Intelligence
McCormick —Gurugram, Haryana
- Computer science
- Azure
- Bachelor's degree
- Paid time off
Data Scientist / Decision Scientist
Maruti Suzuki India Ltd —Gurugram, Haryana
- Full-time
- Master's degree
- AWS
- Bachelor's degree
Data Science
EXL Service —Gurugram, Haryana
- Full-time
- Master's degree
- Machine learning
- Quality control
Analyst-Data Science
American Express —Gurugram, Haryana
- Full-time
- Computer Science
- Master's degree
- SQL
1d

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Data Scientist

AIS InfoSource
Gurugram, Haryana

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Job details

14 days ago

Qualifications

TensorFlow
CI/CD
Power BI
Git
English
SQL
Pandas
AWS
Presentation skills
Machine learning
Continuous integration
Predictive analytics
S3
Fraud prevention and detection
Data science
AI
Communication skills
Python
Analytics

Full job description

Data Scientist

EXPERIENCE REQUIRED: 2-3 Years

NUMBER OF POSITIONS: 05

DEPARTMENT: Information Systems

REPORTS TO: Head of Fraud & Analytics

LOCATION: Gurugram, India

ROLE OVERVIEW:

We are seeking talented and driven Data Scientist to join our growing Fraud & Analytics team. In this role, you will work at the intersection of data engineering, machine learning, and business policy development. You will play a key role in modernizing our fraud risk infrastructure, building AI/ML models from the ground up, and delivering actionable insights that protect our customers and business across a range of money services transactions including Wires, Check Cashing, Bill Payments, and Top-Ups.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

—

AI/ML Model Development

—

Design, develop, validate, and deploy machine learning models in Python across a range of fraud detection and transaction risk use cases.

—

Own the full model lifecycle: feature engineering, model training, validation, deployment, and ongoing monitoring.

—

Apply best practices for model governance, including documentation, version control, and performance benchmarking. Business Rules & Policy Development.

—

Conduct regular performance analysis of business rules within the fraud risk engine, identifying opportunities for optimization and improved detection accuracy.

—

Work closely with risk and compliance stakeholders to develop new fraud prevention policies based on data-driven insights across money services transaction types.

—

Translate analytical findings into clear, actionable policy recommendations. Reporting & Visualization.

—

Support the development of Power BI dashboards and reports to communicate model performance, policy outcomes, and fraud risk metrics to stakeholders.

—

Prepare and present analytical findings to both technical and non-technical audiences.

SUPERVISORY RESPONSIBILITIES:

—

Provide technical guidance and support to junior team members and project stakeholders.

—

Lead assigned analytics and machine learning projects, ensuring timely and high-quality delivery.

—

Review analytical outputs, model results, and reports for accuracy and compliance with established standards.

—

Facilitate knowledge sharing and promote best practices within the Fraud & Analytics team.

—

Coordinate with cross-functional teams to support fraud prevention initiatives and business objectives.

LANGUAGE REQUIREMENTS:

Required

English

Ability Level

Business Fluent

SKILLS:

—

Machine Learning & Predictive Modeling

—

Python (Pandas, Scikit-learn, XGBoost, TensorFlow/PyTorch)

—

SQL & Data Analysis

—

AWS Cloud Services

—

Data Visualization (Power BI)

—

Model Deployment & MLOps

—

Fraud Risk Analytics

—

Problem Solving & Critical Thinking

—

Stakeholder Management

—

Communication & Presentation Skills

EXPERIENCE:

—

Proficiency: Python (pandas, scikit-learn, XGBoost, TensorFlow/PyTorch, or similar ML libraries)

—

Cloud: Experience with cloud platforms, preferably AWS (S3, SageMaker, Lambda, Glue, or similar)

—

MLOps: Version control with Git and familiarity with MLOps or CI/CD pipelines

LANGUAGE SKILLS:

Ability to read and interpret documents such as safety rules, operating and maintenance Instructions, and procedure manuals, ability to write routine reports and correspondence. Ability to speak effectively before groups of customers or employees of organization.

REASONING ABILITY:

Ability to solve practical problems and deal with a variety of concrete variables in Situations where only limited standardization exists. Ability to interpret a variety of Instructions furnished in written, oral, diagram or schedule form.

CERTIFICATES, LICENSES, REGISTRATION:

—

Certifications in Data Science, Machine Learning, Artificial Intelligence, or Cloud Technologies are preferred.

—

AWS Certified Machine Learning Engineer, AWS Certified Data Analytics, or equivalent cloud certifications are an advantage.

WORK ENVIRONMENT:

The work environment characteristics described here are representative of those an Employee encounters while performing the essential functions of this job. Reasonable Accommodations may be made to enable individuals with disabilities to perform the Essential functions.

While performing the duties of this job, the noise level in the work environment is Usually moderate.

DISCLAIMER:

The information in this job description is designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this position and may be changed at the company’s discretion to conform to business needs.

ABOUT THE COMPANY:

AIS is a Texas-based fintech firm committed to lowering operating costs, improving quality and reducing cycle time with back-office automation, highly skilled talent and standardized reporting and analytics solutions. AIS manages the day-to-day work so our clients can focus on growing their business. We review client processes, eliminate non-value adds, and enhance productivity. We build financial and legal technology to automate and optimize workforce performance. We recruit, train, and manage specialized human resources to meet staff augmentation needs. We equip decision makers with deep data sets and forward-thinking analytics so they can make smarter business decisions and create better customer experiences. We serve a variety of industries including banking, automotive finance, credit card, mortgage, insurance and telecommunications.

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