Badkhal Lake Delhi Delhi Data scientist Jobs – 480 Open Jobs Today

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 expert
CodersArts —Noida, Uttar Pradesh
- Doctoral degree
- Data analysis skills
- SQL
- Flexible schedule
DATA SCIENCE/ DATA ANALYTICS TRAINER/FACULTY
Megara Infotech —Gurugram, Haryana
- Part-time
- Master's degree
- SQL
- Bachelor's degree
Senior Data Scientist
S&P Global —Gurugram, Haryana
- Email
- Computer Science
- Master's degree
- SQL
- Health insurance
- Paid time off
Data Scientist
iGloble Solutions —South East District, Delhi
- Data analysis skills
- Communication skills
Data Scientist
StatusNeo Technology Consulting —Gurugram, Haryana
- Full-time
- Hybrid work
- Machine learning
- Travel
- Python
AI or ML Engineer
Optum —Gurugram, Haryana
- Full-time
- Bachelor's degree
- Machine learning
- Mentoring
- Health insurance
6d
Analyst-Data Science
American Express —Gurugram, Haryana
- Full-time
- Computer Science
- Master's degree
- SQL
10h
Analyst - Data Scientist Machine Learning
United Airlines —Gurugram, Haryana
- Full-time
- Azure
- English
- Master's degree
- Health insurance
Data Scientist
NOVNEX CORPORATION —Noida, Uttar Pradesh
- SQL
- Machine learning
- Python
Sr. Data Scientist - Analytics CoE
Hero FinCorp —Gurugram, Haryana
5d
Data Scientist
Precognitas Health —New Delhi District, Delhi
- Email
- Computer science
- Master's degree
- Math
Data Scientist
Coreops.ai —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Data Scientist
DEWII —Gurugram, Haryana
- Azure
- SQL
- AWS
GIS & Climate Data Analytics Specialist
ICF —New Delhi District, Delhi
- Full-time
- Master's degree
- AI
3d
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
Gujarat Fluorochemicals —Noida, Uttar Pradesh
- PMP
- Java
- C++

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Data Scientist Junior, Sign 3

Cedar Management Consulting -
Gurugram, Haryana

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Job details

Full-time

Qualifications

Git
SQL
Pandas
Continuous integration
Natural language processing
Fraud prevention and detection
Data science
Python

Full job description

Job Information

Department Name

Cedar Hill Capital Portfolio Company

Industry

Technology

Work Experience

1-3 years

City

Gurgaon

State/Province

Haryana

Zip/Postal Code

122016

Job Description

About Company : Sign3 Labs is an AI-native fraud and customer intelligence platform purpose-built for Indian Financial Services. We work with major banks, NBFCs, small finance banks, enterprises and FinTech across the country, helping them make risk decisions at onboarding, login and transaction. We are a venture-backed, revenue-generating company scaling commercially across India, with a growing team spanning engineering, data science, GTM and operations.

Role: Data Scientist Junior

Roles & Responsibilities:

Core modelling

Binary classifiers under heavy class imbalance. Fraud base rates are low. You will build GBMs (XGBoost, LightGBM) and shallow neural models that have to perform at the low-FPR operating points clients actually care about — not at default thresholds.
Feature engineering across signal families. Device, behavioral, location, image, telecom and alternate-data signals, plus velocity aggregations across multiple time windows. You will learn to turn raw telemetry into features that survive adversarial drift.
Anomaly and unsupervised detection. Isolation Forest, auto encoders, PCA residuals, peer-group outliers — for the cold-start cases where labeled fraud is weeks away.
Graph features (growing scope).Contribute to our graph-based fraud and community-detection work. You will start with graph-derived tabular features and can grow deeper into graph modelling if the work suits you.

Productionization and monitoring

Deployment. Package models for our real-time decisions path. Understand latency budgets and feature availability at scoring time (no leakage, no missing features in production).
Monitoring. PSI, CSI, score-distribution drift, feature drift, fraud-capture curves by client. Own the weekly model-health review for at least one deployed model within six months.
Threshold economics. Work with clients to translate fraud capture customer-friction trade-offs into operating points they can sign off on. This is where most fraud models actually fail, and where you will learn the most.

Collaboration

With engineering, on feature pipelines, offline/online parity and real-time inference.
With product and clients, on what a model is actually allowed to flag, block or auto-approve. You will sit in review calls with bank fraud heads.

Required Skills

1–3 years of hands-on ML experience building supervised models on real data (not only coursework or Kaggle).

Strong Python and SQL. Comfortable with pandas/Polar, scikit-learn, XGBoost or LightGBM, and writing non-trivial SQL against large tables.

Statistical intuition. You know why accuracy is the wrong metric for fraud, can explain ROC vs PR curves, and understand calibration and threshold selection.

Engineering hygiene. Git, code review, reproducible experiments, basic CI. Your models should run when someone else checks out your branch.

Clear writing. You can write a one-page memo that a non-technical product manager and a fraud-ops lead both walk away understanding.

Strong plus

Exposure to fraud, risk, credit, AML or payments data — at a bank, FinTech, card network or risk-tech vendor.

Experience with imbalanced-class techniques beyond naive resampling (focal loss, cost-sensitive learning, threshold-moving, calibration).

Experience with real-time feature serving, model monitoring or MLOps tooling (MLflow, Feast, SageMaker, Vertex, or equivalents).

Exposure to graph data, NLP/NER, or geospatial features.

A public repo, paper, competition placement or blog post that shows how you think.

What We Offer:

Compensation benchmark to top-quartile Indian FinTech; ESOPs for all full-time employees with a clear vesting schedule.

Health insurance for you and your family, and a meaningful learning & conference budget.

Access to real, messy, high-volume Indian financial data and the compute to do something interesting with it.

Apply Now

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data scientist jobs in badkhal lake delhi delhi

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