Mumbai Maharashtra Data scientist banking Jobs – 19 Open Jobs Today

Data Scientist
Programming.com —Mumbai, Maharashtra
- ₹6,00,242.14 - ₹19,76,587.39 a year
- Full-time
- Computer Science
- Master's degree
- SQL
- Health insurance
- Paid sick time
Quick apply
Data Engineer
Programming.com —Mumbai, Maharashtra
- ₹5,10,440.24 - ₹18,68,453.81 a year
- Full-time
- Azure
- Oracle
- Databases
- Health insurance
- Paid sick time
Quick apply
B2C Inside Sales Specialist - Admissions (EdTech)
Boston Institute of Analytics Global Education Pvt Ltd —Andheri, Mumbai, Maharashtra
- ₹6,00,000 - ₹14,00,000 a month
- Full-time
- Sales
- English
- Finance
Quick apply
Senior Data Scientist I
RELX —Mumbai, Maharashtra
- Full-time
- Master's degree
- Machine learning
- AI
Associate, Specialist Data Scientist, Transformation and Data
DBS Bank —Mumbai, Maharashtra
- Full-time
- B.Sc
- Master's degree
- Databases
Sr Data Scientist
AxionConnect —Mumbai, Maharashtra
- Data analysis skills
- Presentation skills
- Machine learning
Data Scientist - Markets Sales Technology
Barclays —Mumbai, Maharashtra
- Research
- SQL
- Machine learning
ML-Ops
Sia —Mumbai, Maharashtra
- Full-time
- Hybrid work
- APIs
- Python
Quick apply
Fraud Risk Practice
Visa Consolidated Support Services (India) Private Limited —Mumbai, Maharashtra
- Full-time
- Master's degree
- Communication skills
- Analytics
12d
Generative AI Engineer
Sia —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Worforce Planning - Operations Research Scientist - Associate
JPMorganChase —Mumbai, Maharashtra
- Full-time
- Doctoral degree
- Master's degree
- SQL
Dataiku Developer – Data Analytics & Reporting
Capco —Mumbai, Maharashtra
- Databases
- SQL
- Bachelor's degree
Quick apply
1d
Senior Applied Data Scientist
Sia —Mumbai, Maharashtra
- Full-time
- Computer science
- Azure
- Doctoral degree
Quick apply
Senior Account Manager - Banking and Financial Services
NVIDIA —Mumbai, Maharashtra
- Full-time
- Sales
- Engineering
- Master's degree
11d
Manager
Bank of America —Mumbai, Maharashtra
- Full-time
- Computer Science
- Finance
- Master's degree
Staff GenAI Engineer
Sia —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Senior Backend Engineer (Python)
Sia —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Manager
PwC —Shivaji Park, Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Engineering Manager – AI Platforms
Sia —Mumbai, Maharashtra
- Full-time
- Azure
- Management
- Computer Science
Quick apply

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Data Scientist

Programming.com -
Mumbai, Maharashtra

Quick apply

Job details

Permanent | Full-time
₹6,00,242.14 - ₹19,76,587.39 a year

Benefits

Provident Fund
Health insurance
Paid sick time

Qualifications

BCS
TensorFlow
Computer Science
PyTorch
NumPy
Git
Master's degree
SQL
Pandas
Bachelor's degree
APIs
Fraud prevention and detection
Data science
Clustering
AI
Banking
Python
Data Science

Full job description

Data Science Team (Senior & Junior Roles) – Mulehunter.ai

Job Location

Mumbai, Maharashtra (On-site / Hybrid)

About Mulehunter.ai & Why These Roles Matter

Mulehunter.ai is an advanced AI/ML-based platform designed to detect mule accounts across the banking ecosystem, with a specialized focus on scaling fraud security within cooperative and rural banking networks. As new banks are onboarded, our platform must be continuously tuned to adapt to a new class of customers, products, and evolving transaction patterns.

To support our rapid expansion, we are scaling our Mumbai-based Data Science team. We are looking for a Senior Data Scientist to provide technical leadership and architectural direction, alongside a Junior Data Scientist to drive hands-on execution, analysis, and experimentation.

Role 1: Senior Data ScientistWhat You Will Do

Technical Leadership: Lead end-to-end model design covering data exploration, feature engineering, training, calibration, validation, and production deployment.
Advanced Modeling: Train, evaluate, and scale supervised, unsupervised, and anomaly-detection models for identifying complex mule-account networks.
Feature Engineering: Partner with AML/FRM teams to translate banking insights and red-flag behaviors into high-performing, model-ready features.
Team & Standards: Define ML standards, code-review practices, experiment tracking, and documentation norms. Mentor junior data scientists and review their technical execution.
Integration: Collaborate closely with data engineers and bank IT teams for seamless deployment via APIs.

What We Are Looking For

Education: Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related field (Master’s preferred).
Experience: 6–8 years of hands-on experience in Data Science and MLOps, ideally within banking, financial crime, or AML domains.
Tech Stack: Strong programming in Python and SQL. Deep familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM) and large-scale transactional datasets.
Infrastructure: Comfort with on-prem ML environments (Anaconda/Jupyter, VS Code, Kubeflow, Git, PySpark).
Domain Knowledge: Strong understanding of AML concepts including RFIs, STR workflow, and alert-review processes.

Role 2: Junior Data ScientistWhat You Will Do

Data Prep & EDA: Perform data quality checks, pre-processing, and exploratory data analysis to surface behavioral indicators and fraud red flags.
Model Support: Build, train, and evaluate baseline supervised and unsupervised models under the guidance of senior data scientists.
Production Monitoring: Monitor live model performance, analyze data drifts, investigate false positives/negatives, and propose tuning actions.
Feedback Loops: Work closely with the Enhanced Due Diligence (EDD) team to refine thresholds and continuously improve alert precision.
Documentation: Keep rigorous records of detection rules, model versions, and experiment results.

What We Are Looking For

Education: Bachelor’s degree in Computer Science, Data Science, AI/ML, Statistics, or a related field.
Experience: 2–5 years of applied ML experience, preferably with exposure to banking, fraud, or transactional datasets.
Tech Stack: Proficiency in Python and SQL, with hands-on experience using pandas, NumPy, scikit-learn, XGBoost, and LightGBM. (PySpark is a major plus).
Core Concepts: Clear understanding of core classification, clustering, and anomaly-detection techniques.
Workflow: Comfort using Anaconda/Jupyter, VS Code, and Git-based version control, alongside an eagerness to learn financial compliance systems.

What Success Looks Like for Our Team

Production Excellence: Deploying highly accurate, production-grade fraud detection models across our participating banks.
Operational Efficiency: Materially reducing false-positive rates while significantly improving model interpretability for bank compliance officers.
Seamless Integration: Achieving successful validation and seamless integration with existing bank AML/FRM infrastructures.

Pay: ₹600,242.14 - ₹1,976,587.39 per year

Benefits:

Health insurance
Paid sick time
Provident Fund

Work Location: In person

Quick apply

Refine Your Search

data scientist banking jobs in mumbai maharashtra

Data Scientist

Data Engineer

B2C Inside Sales Specialist - Admissions (EdTech)

Senior Data Scientist I

Associate, Specialist Data Scientist, Transformation and Data

Sr Data Scientist

Data Scientist - Markets Sales Technology

ML-Ops

Fraud Risk Practice

Generative AI Engineer

Worforce Planning - Operations Research Scientist - Associate

Dataiku Developer – Data Analytics & Reporting

Senior Applied Data Scientist

Senior Account Manager - Banking and Financial Services

Manager

Staff GenAI Engineer

Senior Backend Engineer (Python)

Manager

Engineering Manager – AI Platforms

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